# How Can You Mitigate the Risk of Analyst Burnout from Alarm Fatigue? ▴ Question

**Published:** 2025-08-06
**Categories:** Question

---

![A glowing central ring, representing RFQ protocol for private quotation and aggregated inquiry, is integrated into a spherical execution engine. This system, embedded within a textured Prime RFQ conduit, signifies a secure data pipeline for institutional digital asset derivatives block trades, leveraging market microstructure for high-fidelity execution](https://options.greeks.live/wp-content/uploads/2025/07/digital-asset-derivatives-rfq-system-for-institutional-high-fidelity-execution.jpg)

![Central intersecting blue light beams represent high-fidelity execution and atomic settlement. Mechanical elements signify robust market microstructure and order book dynamics](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-execution-engine-visualizing-market-microstructure-for-high-fidelity-alpha-generation-via-prime-os.jpg)

## Concept

The persistent hum of a [security operations center](https://prime.greeks.live/area/security-operations-center/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite), punctuated by the staccato of alerts, creates a unique cognitive environment. An analyst’s mind, honed to detect faint signals of malicious activity within petabytes of data, is the most critical sensor in the entire security apparatus. The degradation of this sensor through burnout, precipitated by the ceaseless torrent of notifications known as [alarm fatigue](https://prime.greeks.live/area/alarm-fatigue/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite), represents a systemic failure of the highest order. It is an erosion of the very mechanism designed to protect the organization’s most vital assets.

Viewing this phenomenon as a personal failing of the analyst is a fundamental misdiagnosis of the problem. The reality is that alarm fatigue is an architectural issue, a breakdown in the data-to-intelligence pipeline where the volume of noise systematically overwhelms the capacity to discern the signal.

This condition emerges from a sustained cognitive overload, where the human brain, subjected to a constant stream of stimuli, begins to adapt. This adaptation, a form of neurological self-preservation, manifests as a desensitization to incoming alerts. Each notification, whether a benign [false positive](https://prime.greeks.live/area/false-positive/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) or a critical indicator of compromise, begins to exact the same cognitive toll, diminishing the analyst’s ability to mount the requisite level of scrutiny for each event.

The operational result is a quantifiable increase in Mean Time to Acknowledge (MTTA) and [Mean Time to Respond](https://prime.greeks.live/area/mean-time-to-respond/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) ([MTTR](https://prime.greeks.live/area/mttr/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite)), creating dangerous windows of opportunity for threat actors. The system, designed for vigilance, paradoxically cultivates inattention through its own operational tempo.

> The core of alarm fatigue is a systemic failure where the security architecture produces noise at a rate that degrades its most vital component the human analyst.

Understanding this requires moving beyond simple workflow management and into the domain of [human factors engineering](https://prime.greeks.live/area/human-factors-engineering/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) and systems theory. The analyst is not merely a consumer of alerts; they are an integrated component in a complex information processing system. Burnout is the state reached when this component is pushed beyond its operational parameters. The consequences extend beyond missed threats.

They include the loss of invaluable institutional knowledge as experienced analysts leave the profession, increased operational costs due to high turnover, and a pervasive degradation of the security posture. Addressing this requires a fundamental re-architecting of the security ecosystem, shifting the focus from generating more alerts to producing higher-fidelity intelligence that respects the cognitive limits of the human operator.

![A metallic blade signifies high-fidelity execution and smart order routing, piercing a complex Prime RFQ orb. Within, market microstructure, algorithmic trading, and liquidity pools are visualized](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-prime-os-execution-precision.jpg)

![A sleek, metallic algorithmic trading component with a central circular mechanism rests on angular, multi-colored reflective surfaces, symbolizing sophisticated RFQ protocols, aggregated liquidity, and high-fidelity execution within institutional digital asset derivatives market microstructure. This represents the intelligence layer of a Prime RFQ for optimal price discovery](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocols-system-architecture-for-optimal-price-discovery-and-high-fidelity-execution.jpg)

## Strategy

A strategic response to [analyst burnout](https://prime.greeks.live/area/analyst-burnout/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) requires treating the [Security Operations](https://prime.greeks.live/area/security-operations/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) Center (SOC) as a high-performance system that demands careful calibration. The objective is to architect an environment that filters raw telemetry into actionable intelligence, preserving the cognitive energy of analysts for tasks that demand human intuition and complex problem-solving. This approach is built upon a foundation of intelligent alert management, moving away from a model of exhaustive, manual review toward one of targeted, context-driven investigation. The guiding principle is to make every alert that reaches a human analyst a meaningful event worthy of their attention.

![A central metallic mechanism, an institutional-grade Prime RFQ, anchors four colored quadrants. These symbolize multi-leg spread components and distinct liquidity pools](https://options.greeks.live/wp-content/uploads/2025/07/high-fidelity-digital-asset-derivatives-rfq-engine-prime-os.jpg)

## From Raw Telemetry to Actionable Intelligence

The initial and most impactful strategic shift involves re-engineering the alert pipeline itself. A significant portion of alarm fatigue stems from alerts that lack sufficient context for an analyst to make a swift, informed decision. An alert for a suspicious login, for instance, is low-value telemetry. An alert that correlates that same login with an anomalous geographic location, a time of day inconsistent with user behavior, and a recent phishing attempt targeting that user’s department transforms the telemetry into intelligence.

The strategy here is to automate this enrichment process. By integrating threat intelligence feeds, user behavior analytics (UBA), and asset criticality data directly into the alert generation process, the system itself performs the initial layer of triage. This ensures that when an analyst receives an alert, it is already packaged with the necessary context to assess its potential impact.

> An effective strategy reframes the problem from managing alert volume to increasing the intelligence density of each alert presented to an analyst.

![A central, metallic hub anchors four symmetrical radiating arms, two with vibrant, textured teal illumination. This depicts a Principal's high-fidelity execution engine, facilitating private quotation and aggregated inquiry for institutional digital asset derivatives via RFQ protocols, optimizing market microstructure and deep liquidity pools](https://options.greeks.live/wp-content/uploads/2025/07/prime-brokerage-digital-asset-rfq-execution-engine-microstructure.jpg)

## What Is the Role of Risk Based Alerting?

[Risk-based alerting](https://prime.greeks.live/area/risk-based-alerting/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) represents a profound departure from traditional, volume-based security monitoring. Instead of treating every alert as equal, this model assigns a risk score to events based on a confluence of factors. This approach operationalizes the understanding that not all security events carry the same potential for harm. A brute-force attempt against a non-critical, test-environment server has a much lower risk profile than a successful credential access on a domain controller.

The strategy involves developing a quantitative model to score these events automatically. This allows the [SOC](https://prime.greeks.live/area/soc/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) to concentrate its human resources on the highest-risk incidents, accepting a degree of managed risk at the lower end of the spectrum. This is a calculated decision to optimize resource allocation for maximum impact, a concept well understood in financial portfolio management.

The implementation of such a system requires a clear definition of risk parameters, as detailed in the comparative table below.

| Metric | Traditional Alerting Model | Risk-Based Alerting Model |
| --- | --- | --- |

![Central polished disc, with contrasting segments, represents Institutional Digital Asset Derivatives Prime RFQ core. A textured rod signifies RFQ Protocol High-Fidelity Execution and Low Latency Market Microstructure data flow to the Quantitative Analysis Engine for Price Discovery](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-execution-core-system-high-fidelity.jpg)

## Calibrating the Human Sensor

The final strategic pillar involves creating robust feedback loops that allow the system to learn and adapt. Analysts are uniquely positioned to identify which alerts are consistently erroneous and which detection rules are too noisy. An effective strategy provides a formal, low-friction mechanism for analysts to channel this ground-truth knowledge back into the [detection engineering](https://prime.greeks.live/area/detection-engineering/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) process. This transforms analysts from passive recipients of alerts into active participants in the system’s calibration.

This can be implemented through features integrated directly into the security information and event management (SIEM) platform, allowing an analyst to flag an alert as a false positive and suggest a specific tuning parameter with a single click. This continuous refinement process ensures the security apparatus becomes more precise over time, reducing noise at the source.

- **Principle of Proportionality** The resources expended on an investigation should be proportional to the risk it represents.

- **Principle of Context** An alert without context is noise; an alert with context is a potential signal.

- **Principle of Automation** Any task that is repetitive and follows a defined logic should be automated to preserve human cognition for complex analysis.

- **Principle of Feedback** The system must be designed to learn from the expert judgment of its human operators.

![A multi-layered, institutional-grade device, poised with a beige base, dark blue core, and an angled mint green intelligence layer. This signifies a Principal's Crypto Derivatives OS, optimizing RFQ protocols for high-fidelity execution, precise price discovery, and capital efficiency within market microstructure](https://options.greeks.live/wp-content/uploads/2025/08/principal-digital-asset-derivatives-rfq-execution-system-intelligence.jpg)

![A precision-engineered interface for institutional digital asset derivatives. A circular system component, perhaps an Execution Management System EMS module, connects via a multi-faceted Request for Quote RFQ protocol bridge to a distinct teal capsule, symbolizing a bespoke block trade](https://options.greeks.live/wp-content/uploads/2025/07/precision-engineered-interface-for-institutional-digital-asset-derivatives-request-for-quote-protocol-high-fidelity-execution-within-principal-operating-system.jpg)

## Execution

The execution of a strategy to mitigate analyst burnout is a matter of precise operational engineering. It involves the implementation of specific protocols, quantitative models, and technological architectures designed to systematically reduce cognitive load and enhance analyst efficacy. This is where strategic concepts are translated into tangible, measurable improvements in the Security [Operations Center](https://prime.greeks.live/guide/lower-your-cost-basis-using-the-markets-true-center-of-gravity/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) (SOC) environment. The focus shifts from high-level goals to the granular details of implementation, creating a resilient and sustainable operational framework.

![A precise digital asset derivatives trading mechanism, featuring transparent data conduits symbolizing RFQ protocol execution and multi-leg spread strategies. Intricate gears visualize market microstructure, ensuring high-fidelity execution and robust price discovery](https://options.greeks.live/wp-content/uploads/2025/07/high-fidelity-institutional-digital-asset-derivatives-rfq-execution-framework.jpg)

## The Operational Playbook for Alert Pipeline Optimization

Optimizing the alert pipeline is the foundational execution step. This requires a disciplined, cyclical process of auditing and refining detection rules and data sources. The objective is to methodically eliminate noise and increase the signal-to-noise ratio of the entire security monitoring apparatus. This is not a one-time project but an ongoing operational rhythm within the SOC.

- **Baseline Establishment** The process begins with a quantitative baseline. Key metrics such as total alerts per day, alerts per analyst, false positive rates, and Mean Time to Triage (MTTT) must be recorded. This data provides the empirical foundation against which all future improvements will be measured.

- **Log Source Rationalization** A systematic review of all log sources feeding the SIEM is conducted. Sources that do not contribute to meaningful detections or are excessively noisy are evaluated for suppression or tuning at the source. The question to be answered for each source is ▴ “Does this data enable us to detect a threat we cannot detect otherwise?”

- **Detection Rule Analysis** Each detection rule is analyzed based on its performance. Rules that generate a high volume of alerts with a low rate of true positive findings are prioritized for review. This analysis should focus on the “noisiest” rules, as addressing them provides the greatest immediate impact on analyst workload.

- **False Positive Pattern Identification** Analysts’ feedback and historical alert data are mined to identify recurring patterns in false positives. This often reveals systemic issues, such as misconfigured assets or normal business processes that mimic malicious activity, which can then be addressed systemically.

- **Tuning and Suppression Implementation** Based on the analysis, rules are tuned. This could involve adjusting thresholds, adding more specific logic, or creating explicit exceptions for known benign behaviors. In some cases, low-value, high-noise rules may be suppressed entirely.

- **Post-Implementation Monitoring** After changes are implemented, the baseline metrics are monitored closely to quantify the impact. This data-driven approach validates the effectiveness of the tuning cycle and informs the next iteration of the process.

![A high-fidelity institutional digital asset derivatives execution platform. A central conical hub signifies precise price discovery and aggregated inquiry for RFQ protocols](https://options.greeks.live/wp-content/uploads/2025/07/prime-os-rfq-protocol-high-fidelity-digital-asset-derivatives-execution-1.jpg)

## Quantitative Modeling for Alert Prioritization

To move beyond subjective prioritization, a quantitative scoring model is essential. This model codifies the risk-based alerting strategy into a mathematical formula, providing a consistent and objective measure of an alert’s urgency. This transforms alert triage from a qualitative art into a data-driven science. The Urgency Score is a calculated value that guides analyst attention to the most critical events.

The following table illustrates a hypothetical model for calculating an alert’s Urgency Score.

| Alert Component | Example Value | Weight | Score (Value Weight) |
| --- | --- | --- | --- |

> A quantitative scoring model removes ambiguity, ensuring that the most critical combination of threat and asset receives immediate attention.

![A futuristic metallic optical system, featuring a sharp, blade-like component, symbolizes an institutional-grade platform. It enables high-fidelity execution of digital asset derivatives, optimizing market microstructure via precise RFQ protocols, ensuring efficient price discovery and robust portfolio margin](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-prime-os-for-high-fidelity-rfq-execution-and-optimal-price-discovery.jpg)

## How Do You Architect a Feedback Driven System?

A feedback-driven system is one that is designed to improve itself through operational use. Architecting such a system requires building the mechanisms for feedback directly into the analyst’s primary tools. The goal is to make providing feedback as seamless as possible, so it becomes a natural part of the workflow rather than an additional chore. This involves tight integration between the SIEM, the ticketing system, and the security orchestration, automation, and response ([SOAR](https://prime.greeks.live/area/soar/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite)) platform.

The impact of these initiatives must be tracked with specific key performance indicators (KPIs). These metrics provide a continuous, quantitative view of the health of the SOC ecosystem and the well-being of the analysts.

- **Analyst-Initiated Tuning Requests** Tracking the number of tuning suggestions submitted by analysts provides a direct measure of their engagement in the system’s improvement.

- **[False Positive Rate](https://prime.greeks.live/area/false-positive-rate/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite) Reduction** This is a primary success metric, demonstrating a direct decrease in wasted effort. A quarter-over-quarter reduction is a strong indicator of a successful program.

- **High-Priority Alert Accuracy** This measures the percentage of high-urgency alerts that, upon investigation, are confirmed as true positives requiring action. An increasing accuracy rate shows the scoring model is working effectively.

- **Analyst Retention Rate** While influenced by many factors, a stable or increasing retention rate is a powerful long-term indicator of reduced burnout and improved job satisfaction.

![A sleek, metallic, X-shaped object with a central circular core floats above mountains at dusk. It signifies an institutional-grade Prime RFQ for digital asset derivatives, enabling high-fidelity execution via RFQ protocols, optimizing price discovery and capital efficiency across dark pools for best execution](https://options.greeks.live/wp-content/uploads/2025/07/advanced-principal-rfq-protocol-architecture-for-institutional-digital-asset-derivatives-optimal-price-discovery-and-execution.jpg)

## References

- SANS Institute. “2023 SANS Security Operations Center (SOC) Survey.” SANS Institute, 2023.

- PricewaterhouseCoopers. “The Global State of Information Security Survey 2023.” PwC, 2023.

- Gartner. “Market Guide for Security Orchestration, Automation and Response Solutions.” Gartner, Inc. 2023.

- Ponemon Institute. “The Cost of Insider Threats ▴ Global Report 2022.” Ponemon Institute, 2022.

- McLean, Patrick. “Burnout and Alert Fatigue in Cybersecurity.” Defend Edge, 2025.

- Torq. “Tired of Security Alert Fatigue? Stop Burnout with Hyperautomation.” Torq.io, 2025.

- Dropzone AI. “How AI SOC Analysts Reduce Alert Fatigue and Prevent SOC Burnout.” Dropzone AI, 2025.

- Intezer. “Reducing Alert Fatigue in Your Security Operations Center with AI.” Intezer, 2023.

![A sharp, metallic blue instrument with a precise tip rests on a light surface, suggesting pinpoint price discovery within market microstructure. This visualizes high-fidelity execution of digital asset derivatives, highlighting RFQ protocol efficiency](https://options.greeks.live/wp-content/uploads/2025/07/precision-digital-asset-derivative-rfq-execution-market-microstructure-high-fidelity-alpha-generation-prime-os-system.jpg)

## Reflection

The frameworks and protocols detailed here provide a robust architecture for mitigating analyst burnout. They represent a systemic approach to a systemic problem. The ultimate effectiveness of this architecture, however, depends on a foundational shift in perspective.

It requires viewing the security operations apparatus not as a cost center defined by the volume of alerts it can process, but as a high-stakes intelligence organization defined by the quality of the insights it can produce. The human analyst is the most valuable, and most sensitive, component within that system.

Consider your own operational framework. Is it designed to support and amplify the cognitive capabilities of your analysts, or does it inadvertently place them in a state of perpetual cognitive siege? The path forward involves a commitment to continuous refinement, data-driven calibration, and a deep respect for the human element at the core of cyber defense. The goal is a state of operational resilience where both the system and the people who operate it can function at their peak, ready to meet the evolving threat landscape with clarity and precision.

![A sleek blue and white mechanism with a focused lens symbolizes Pre-Trade Analytics for Digital Asset Derivatives. A glowing turquoise sphere represents a Block Trade within a Liquidity Pool, demonstrating High-Fidelity Execution via RFQ protocol for Price Discovery in Dark Pool Market Microstructure](https://options.greeks.live/wp-content/uploads/2025/07/advanced-institutional-digital-asset-derivatives-rfq-execution-system-for-optimal-price-discovery-and-high-fidelity-execution.jpg)

## Glossary

<a href="https://prime.greeks.live/area/security-operations-center/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A sleek spherical device with a central teal-glowing display, embodying an Institutional Digital Asset RFQ intelligence layer. Its robust design signifies a Prime RFQ for high-fidelity execution, enabling precise price discovery and optimal liquidity aggregation across complex market microstructure](https://options.greeks.live/wp-content/uploads/2025/08/institutional-digital-asset-rfq-microstructure-price-discovery-prime-os.jpg)

## Security Operations Center

Meaning ▴ A Security Operations Center, or SOC, represents a centralized function within an institutional framework, specifically engineered to continuously monitor, detect, analyze, and respond to cybersecurity incidents impacting critical infrastructure, trading systems, and sensitive data within the digital asset ecosystem. </a><a href="https://prime.greeks.live/area/alarm-fatigue/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A reflective digital asset pipeline bisects a dynamic gradient, symbolizing high-fidelity RFQ execution across fragmented market microstructure. Concentric rings denote the Prime RFQ centralizing liquidity aggregation for institutional digital asset derivatives, ensuring atomic settlement and managing counterparty risk](https://options.greeks.live/wp-content/uploads/2025/07/high-fidelity-rfq-execution-for-institutional-digital-asset-derivatives-2.jpg)

## Alarm Fatigue

Meaning ▴ Alarm fatigue defines a cognitive state wherein an operator or system monitor becomes desensitized to alerts due to an excessive volume or irrelevant nature of notifications, leading to a diminished capacity for timely and appropriate response to genuine critical events. </a><a href="https://prime.greeks.live/area/false-positive/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A sleek, abstract system interface with a central spherical lens representing real-time Price Discovery and Implied Volatility analysis for institutional Digital Asset Derivatives. Its precise contours signify High-Fidelity Execution and robust RFQ protocol orchestration, managing latent liquidity and minimizing slippage for optimized Alpha Generation](https://options.greeks.live/wp-content/uploads/2025/07/high-fidelity-institutional-digital-asset-derivatives-execution-via-optimized-rfq-protocols-enhancing-market-microstructure.jpg)

## False Positive

Meaning ▴ A false positive constitutes an erroneous classification or signal generated by an automated system, indicating the presence of a specific condition or event when, in fact, that condition or event is absent. </a><a href="https://prime.greeks.live/area/mean-time-to-respond/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A dynamic composition depicts an institutional-grade RFQ pipeline connecting a vast liquidity pool to a split circular element representing price discovery and implied volatility. This visual metaphor highlights the precision of an execution management system for digital asset derivatives via private quotation](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-pipeline-for-precise-price-discovery-and-volatility-surface-analysis.jpg)

## Mean Time to Respond

Meaning ▴ Mean Time to Respond (MTR) defines the elapsed duration from a system's detection of a relevant market event or internal trigger to the initiation of its corresponding algorithmic action. </a><a href="https://prime.greeks.live/area/mttr/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A beige spool feeds dark, reflective material into an advanced processing unit, illuminated by a vibrant blue light. This depicts high-fidelity execution of institutional digital asset derivatives through a Prime RFQ, enabling precise price discovery for aggregated RFQ inquiries within complex market microstructure, ensuring atomic settlement](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-execution-engine-prime-os-3.jpg)

## Mttr

Meaning ▴ Mean Time To Recovery (MTTR) quantifies the average duration required to restore a system, component, or service to full operational functionality following a failure or incident. </a><a href="https://prime.greeks.live/area/human-factors-engineering/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A precision-engineered metallic cross-structure, embodying an RFQ engine's market microstructure, showcases diverse elements. One granular arm signifies aggregated liquidity pools and latent liquidity](https://options.greeks.live/wp-content/uploads/2025/07/institutional-rfq-engine-microstructure-for-atomic-settlement.jpg)

## Human Factors Engineering

Meaning ▴ Human Factors Engineering is the systematic application of knowledge about human capabilities and limitations to the design of systems, tools, and processes, ensuring optimal performance and minimizing error within complex operational environments. </a><a href="https://prime.greeks.live/area/security-operations/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A luminous digital asset core, symbolizing price discovery, rests on a dark liquidity pool. Surrounding metallic infrastructure signifies Prime RFQ and high-fidelity execution](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-core-high-fidelity-execution-engine-for-principal-trading.jpg)

## Security Operations

Meaning ▴ Security Operations defines the continuous process and specialized functions protecting an organization's digital assets and infrastructure from cyber threats. </a><a href="https://prime.greeks.live/area/analyst-burnout/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![Abstract visualization of institutional digital asset derivatives. Intersecting planes illustrate 'RFQ protocol' pathways, enabling 'price discovery' within 'market microstructure'](https://options.greeks.live/wp-content/uploads/2025/07/digital-asset-rfq-execution-liquidity-pool-market-microstructure-protocol.jpg)

## Analyst Burnout

Meaning ▴ Analyst burnout defines a state of systemic cognitive and operational degradation within the human analytical component of an institutional trading infrastructure, typically resulting from sustained high-intensity exposure to complex data streams and critical decision-making demands in volatile digital asset markets. </a><a href="https://prime.greeks.live/area/risk-based-alerting/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![Reflective dark, beige, and teal geometric planes converge at a precise central nexus. This embodies RFQ aggregation for institutional digital asset derivatives, driving price discovery, high-fidelity execution, capital efficiency, algorithmic liquidity, and market microstructure via Prime RFQ](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-hub-for-precise-liquidity.jpg)

## Risk-Based Alerting

Meaning ▴ Risk-Based Alerting represents a sophisticated control mechanism that automatically triggers notifications or actions when predefined quantitative risk metrics or thresholds are breached within an institutional trading environment, particularly for digital asset derivatives. </a><a href="https://prime.greeks.live/area/soc/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A central processing core with intersecting, transparent structures revealing intricate internal components and blue data flows. This symbolizes an institutional digital asset derivatives platform's Prime RFQ, orchestrating high-fidelity execution, managing aggregated RFQ inquiries, and ensuring atomic settlement within dynamic market microstructure, optimizing capital efficiency](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-trading-system-facilitating-high-fidelity-rfq-protocol-optimization-for-best-execution-and-atomic-settlement.jpg)

## Soc

Meaning ▴ System and Organization Controls, or SOC, represents a suite of attestation reports issued by independent Certified Public Accountants, evaluating the effectiveness of internal controls at a service organization. </a><a href="https://prime.greeks.live/area/detection-engineering/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A teal-blue textured sphere, signifying a unique RFQ inquiry or private quotation, precisely mounts on a metallic, institutional-grade base. Integrated into a Prime RFQ framework, it illustrates high-fidelity execution and atomic settlement for digital asset derivatives within market microstructure, ensuring capital efficiency](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-prime-os-execution-1.jpg)

## Detection Engineering

Meaning ▴ Detection Engineering is the disciplined practice of designing, implementing, and continuously optimizing mechanisms to identify anomalous, malicious, or operationally critical events within complex digital systems. </a><a href="https://prime.greeks.live/guide/lower-your-cost-basis-using-the-markets-true-center-of-gravity/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A digitally rendered, split toroidal structure reveals intricate internal circuitry and swirling data flows, representing the intelligence layer of a Prime RFQ. This visualizes dynamic RFQ protocols, algorithmic execution, and real-time market microstructure analysis for institutional digital asset derivatives](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-core-processing-architecture-visualized-through-interconnected-liquidity-networks.jpg)

## Operations Center

Lower your cost basis and command liquidity with the professional's edge in RFQ and block trading. </a><a href="https://prime.greeks.live/area/soar/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A precise optical sensor within an institutional-grade execution management system, representing a Prime RFQ intelligence layer. This enables high-fidelity execution and price discovery for digital asset derivatives via RFQ protocols, ensuring atomic settlement within market microstructure](https://options.greeks.live/wp-content/uploads/2025/07/prime-os-high-fidelity-institutional-digital-asset-rfq-execution-system-lens.jpg)

## Soar

Meaning ▴ SOAR, or Security Orchestration, Automation, and Response, defines a technological framework designed to integrate disparate security tools, automate incident response workflows, and orchestrate complex security operations within a sophisticated digital asset trading ecosystem. </a><a href="https://prime.greeks.live/area/false-positive-rate/?utm_source=options.greeks.live&utm_medium=referral&utm_campaign=satellite" class="glossary-item-box">
![A precise central mechanism, representing an institutional RFQ engine, is bisected by a luminous teal liquidity pipeline. This visualizes high-fidelity execution for digital asset derivatives, enabling precise price discovery and atomic settlement within an optimized market microstructure for multi-leg spreads](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-core-execution-system-1.jpg)

## False Positive Rate

Meaning ▴ The False Positive Rate quantifies the proportion of instances where a system incorrectly identifies a negative outcome as positive. </a>

**Tags:** [False Positive Rate](https://options.greeks.live/area/false-positive-rate/), [Alarm Fatigue](https://options.greeks.live/area/alarm-fatigue/), [Security Operations Center](https://options.greeks.live/area/security-operations-center/), [Alert Fatigue](https://options.greeks.live/area/alert-fatigue/), [False Positive](https://options.greeks.live/area/false-positive/), [Security Operations](https://options.greeks.live/area/security-operations/)	

## Discover More

- 
### [How Can Firms Quantify the ROI of a Real Time ML Detection System?](https://options.greeks.live/question/how-can-firms-quantify-the-roi-of-a-real-time-ml-detection-system/)
![A sophisticated dark-hued institutional-grade digital asset derivatives platform interface, featuring a glowing aperture symbolizing active RFQ price discovery and high-fidelity execution. The integrated intelligence layer facilitates atomic settlement and multi-leg spread processing, optimizing market microstructure for prime brokerage operations and capital efficiency. This represents a robust crypto derivatives OS.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-crypto-derivatives-rfq-engine-intelligence-layer.jpg)

Quantifying the ROI of a real-time ML system is an exercise in modeling the total economic value of superior, automated decision-making.

- 
### [How Do Minimum Quote Lifetimes Influence Algorithmic Trading Strategies?](https://options.greeks.live/question/how-do-minimum-quote-lifetimes-influence-algorithmic-trading-strategies/)
![Illuminated conduits passing through a central, teal-hued processing unit abstractly depict an Institutional-Grade RFQ Protocol. This signifies High-Fidelity Execution of Digital Asset Derivatives, enabling Optimal Price Discovery and Aggregated Liquidity for Multi-Leg Spreads. It reflects a Prime RFQ framework mitigating Slippage and Counterparty Risk for institutional trading.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-high-fidelity-best-execution.jpg)

Minimum quote lifetimes compel algorithms to prioritize predictive risk management over instantaneous reaction, enhancing capital efficiency.

- 
### [Is a Traditional DLP System Still Necessary for Compliance If You Have UEBA?](https://options.greeks.live/question/is-a-traditional-dlp-system-still-necessary-for-compliance-if-you-have-ueba/)
![A precision-engineered metallic component displays two interlocking gold modules with circular execution apertures, anchored by a central pivot. This symbolizes an institutional-grade digital asset derivatives platform, enabling high-fidelity RFQ execution, optimized multi-leg spread management, and robust prime brokerage liquidity.](https://options.greeks.live/wp-content/uploads/2025/07/digital-asset-derivatives-rfq-core-for-institutional-trade-flow.jpg)

DLP and UEBA are symbiotic; one enforces policy on data, the other deciphers the intent of the actor handling it.

- 
### [What Are the Primary Challenges in Developing a Unified Risk Management Framework for Crypto Options Trading across Multiple Jurisdictions?](https://options.greeks.live/question/what-are-the-primary-challenges-in-developing-a-unified-risk-management-framework-for-crypto-options-trading-across-multiple-jurisdictions/)
![A sophisticated digital asset derivatives trading mechanism features a central processing hub with luminous blue accents, symbolizing an intelligence layer driving high fidelity execution. Transparent circular elements represent dynamic liquidity pools and a complex volatility surface, revealing market microstructure and atomic settlement via an advanced RFQ protocol.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocols-high-fidelity-execution-framework-optimizing-market-microstructure-price-discovery-intelligence-layer.jpg)

Centralizing disparate risk exposures across global crypto options markets demands adaptive regulatory navigation and advanced quantitative modeling.

- 
### [What Are the Technical Requirements for Implementing Institutional Crypto Options RFQ Systems?](https://options.greeks.live/question/what-are-the-technical-requirements-for-implementing-institutional-crypto-options-rfq-systems/)
![Two precision-engineered nodes, possibly representing a Private Quotation or RFQ mechanism, connect via a transparent conduit against a striped Market Microstructure backdrop. This visualizes High-Fidelity Execution pathways for Institutional Grade Digital Asset Derivatives, enabling Atomic Settlement and Capital Efficiency within a Dark Pool environment, optimizing Price Discovery.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-system-nodes.jpg)

Implementing institutional crypto options RFQ systems requires robust low-latency infrastructure, FIX protocol integration, and advanced quantitative risk modeling for superior execution.

- 
### [What Are the Key Architectural Requirements for an Institutional Crypto Options Trading System?](https://options.greeks.live/question/what-are-the-key-architectural-requirements-for-an-institutional-crypto-options-trading-system/)
![An Execution Management System module, with intelligence layer, integrates with a liquidity pool hub and RFQ protocol component. This signifies atomic settlement and high-fidelity execution within an institutional grade Prime RFQ, ensuring capital efficiency for digital asset derivatives.](https://options.greeks.live/wp-content/uploads/2025/08/prime-os-orchestrating-institutional-digital-asset-derivatives-rfq-protocols-for-optimal-execution.jpg)

Orchestrating institutional digital asset options requires robust, low-latency systems for superior execution and risk control.

- 
### [How Do Global Regulatory Divergences Impact Algorithmic Block Trade Execution Strategies?](https://options.greeks.live/question/how-do-global-regulatory-divergences-impact-algorithmic-block-trade-execution-strategies/)
![Modular plates and silver beams represent a Prime RFQ for digital asset derivatives. This principal's operational framework optimizes RFQ protocol for block trade high-fidelity execution, managing market microstructure and liquidity pools.](https://options.greeks.live/wp-content/uploads/2025/08/digital-asset-derivatives-rfq-protocols-principal-execution-layer.jpg)

Navigating global regulatory divergences with algorithmic block trade strategies optimizes execution quality and ensures systemic compliance.

- 
### [What Are the Core Data Requirements for Implementing Predictive Block Trade Surveillance?](https://options.greeks.live/question/what-are-the-core-data-requirements-for-implementing-predictive-block-trade-surveillance/)
![A chrome cross-shaped central processing unit rests on a textured surface, symbolizing a Principal's institutional grade execution engine. It integrates multi-leg options strategies and RFQ protocols, leveraging real-time order book dynamics for optimal price discovery in digital asset derivatives, minimizing slippage and maximizing capital efficiency.](https://options.greeks.live/wp-content/uploads/2025/07/principals-high-fidelity-rfq-execution-digital-asset-derivatives-hub.jpg)

Proactive surveillance demands comprehensive, granular data to anticipate market abuse and optimize block trade execution.

- 
### [What Specific FIX Message Types Facilitate Complex Multi-Leg Crypto Options Strategies?](https://options.greeks.live/question/what-specific-fix-message-types-facilitate-complex-multi-leg-crypto-options-strategies/)
![A sleek, metallic platform features a sharp blade resting across its central dome. This visually represents the precision of institutional-grade digital asset derivatives RFQ execution. It symbolizes high-fidelity execution and atomic settlement within market microstructure, ensuring capital efficiency and mitigating counterparty risk.](https://options.greeks.live/wp-content/uploads/2025/07/institutional-digital-asset-derivatives-rfq-protocol-execution-precision-1.jpg)

FIX messages precisely articulate multi-leg crypto options, enabling atomic execution and sophisticated risk management for institutional traders.

---

## Raw Schema Data

```json
{
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
        {
            "@type": "ListItem",
            "position": 1,
            "name": "Home",
            "item": "https://options.greeks.live"
        },
        {
            "@type": "ListItem",
            "position": 2,
            "name": "Question",
            "item": "https://options.greeks.live/question/"
        },
        {
            "@type": "ListItem",
            "position": 3,
            "name": "How Can You Mitigate the Risk of Analyst Burnout from Alarm Fatigue?",
            "item": "https://options.greeks.live/question/how-can-you-mitigate-the-risk-of-analyst-burnout-from-alarm-fatigue/"
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "Organization",
    "@id": "https://greeks.live/#organization",
    "name": "Greeks.Live",
    "url": "https://greeks.live/",
    "description": "Greeks.live is the definitive toolkit for the professional options trader, dedicated to empowering our users with institutional-grade data, advanced analytics, and a comprehensive suite of trading tools designed to provide a decisive edge in the market. Every article and guide published under the Greeks.live name is a product of our deep commitment to data-driven analysis and our mission to support the global trading community.",
    "email": "support@greeks.live",
    "logo": {
        "@type": "ImageObject",
        "url": "https://options.greeks.live/wp-content/uploads/2025/07/Greeks.Live-Logo-Icon.svg"
    },
    "hasPart": [
        {
            "@type": "WebSite",
            "name": "About Us",
            "url": "https://about.greeks.live"
        },
        {
            "@type": "WebSite",
            "name": "App Download Page",
            "url": "https://about.greeks.live/#/download/basic_trade"
        },
        {
            "@type": "WebSite",
            "name": "Newcomers' Guide",
            "url": "https://twisty-sign-c8b.notion.site/Guide-for-Greeks-live-X-Deribit-Newbies-5a08a3052822427d800af6eaf3704c8d"
        },
        {
            "@type": "WebSite",
            "name": "Knowledge Base",
            "url": "https://linktr.ee/greeks.live"
        },
        {
            "@type": "WebSite",
            "name": "Option Terminology",
            "url": "https://greekslive.notion.site/88dfc00e7c584d4d8969b6302a79a12f?pvs=4"
        },
        {
            "@type": "WebSite",
            "name": "Terms of Service",
            "url": "https://greeks.live/#/tos"
        },
        {
            "@type": "WebSite",
            "name": "Disclaimer",
            "url": "https://greeks.live/#/disclaimer"
        }
    ],
    "sameAs": [
        "https://x.com/greekslive",
        "https://youtube.com/@greeks_live?si=-KjT0Lkw4WUCI0tD",
        "https://t.me/greekslive_notifications",
        "https://t.me/greekslive",
        "https://pinterest.com/greekslive/"
    ],
    "makesOffer": [
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "RFQ Platform",
                "url": "https://rfq.greeks.live",
                "description": "Execute institutional-grade block trades for crypto options and futures. This platform provides deep, over-the-counter (OTC) liquidity via a professional Request for Quote system.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Lending Tools",
                "url": "https://lend.greeks.live",
                "description": "Manage crypto lending and borrowing activities to earn yield or secure loans. This suite of tools helps users analyze interest rates and manage collateralized debt positions.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Data Lab",
                "url": "https://greeks.live/#/deribit/tools/datalab/BTC",
                "description": "Analyze historical and real-time options data with advanced metrics. This tool is designed for backtesting strategies and identifying market trends through comprehensive data visualization.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Profit & Loss Analysis (PnL)",
                "url": "https://greeks.live/#/deribit/tools/pnl_analysis",
                "description": "Track and analyze the Profit and Loss (PnL) of your options portfolio. This tool provides detailed performance metrics to help traders evaluate and refine their strategies.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Position Visualization",
                "url": "https://greeks.live/#/deribit/tools/pv/BTC",
                "description": "Visualize complex options positions and their corresponding risk profiles. This tool generates payoff diagrams to help traders intuitively understand potential profit, loss, and exposure.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Options Calculator",
                "url": "https://greeks.live/#/deribit/tools/calculator",
                "description": "Calculate the theoretical price and risk parameters ('the Greeks') of crypto options. An essential tool for pricing new trades and analyzing the sensitivity of existing positions.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Greeks.live Main Platform",
                "url": "https://greeks.live/",
                "description": "The central hub for the Greeks.live suite of professional cryptocurrency options and derivatives trading tools. Access analytics, manage positions, and explore the ecosystem.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Community Forum",
                "url": "https://t.greeks.live",
                "description": "Join the official Greeks.live community. Connect with other traders, share insights, and receive the latest updates directly from the team.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Greeks.live for Deribit",
                "url": "http://deribit.greeks.live",
                "description": "A dedicated interface for trading on the Deribit exchange. This platform leverages Greeks.live's advanced analytics and tools specifically for users of Deribit's options and futures markets.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "Greeks.live for OKX",
                "url": "http://okx.greeks.live",
                "description": "A dedicated interface for trading on the OKX exchange. This platform integrates Greeks.live's powerful analytics with the OKX marketplace, focusing on its options and derivatives products.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "GLVS.AI Trading Platform",
                "url": "https://www.glvs.ai/",
                "description": "An AI-powered platform for automated crypto options trading. Leverage advanced algorithms and data-driven signals to develop and deploy sophisticated, hands-free trading strategies.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        },
        {
            "@type": "Offer",
            "itemOffered": {
                "@type": "Service",
                "name": "API Testnet & Sandbox",
                "url": "https://test.greeks.live",
                "description": "A dedicated testnet environment for developers to test their API integrations and automated trading strategies. This sandbox allows for full functionality testing without risking real funds.",
                "provider": {
                    "@id": "https://greeks.live/#organization"
                }
            }
        }
    ],
    "subOrganization": [
        {
            "@type": "Organization",
            "name": "GreeksLive HK Co., Limited",
            "email": "support@greeks.live",
            "telephone": "+852-56418949",
            "address": {
                "@type": "PostalAddress",
                "streetAddress": "Unit 11, 27/F, K. Wah Centre, 191 Java Road",
                "addressLocality": "Hong Kong",
                "addressRegion": "North Point",
                "addressCountry": "CN",
                "postalCode": "0000"
            },
            "geo": {
                "@type": "GeoCoordinates",
                "latitude": "22.2932357",
                "longitude": "114.2022026"
            },
            "image": "https://options.greeks.live/wp-content/uploads/2025/08/Wah-Centre-Hong-Kong.jpg"
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "Article",
    "mainEntityOfPage": {
        "@type": "WebPage",
        "@id": "https://options.greeks.live/question/how-can-you-mitigate-the-risk-of-analyst-burnout-from-alarm-fatigue/"
    },
    "headline": "How Can You Mitigate the Risk of Analyst Burnout from Alarm Fatigue? \u25b4 Question",
    "description": "Mitigate analyst burnout by re-architecting the alert pipeline as a high-fidelity signal processing system, not a crude event aggregator. \u25b4 Question",
    "url": "https://options.greeks.live/question/how-can-you-mitigate-the-risk-of-analyst-burnout-from-alarm-fatigue/",
    "datePublished": "2025-08-06T04:28:17+00:00",
    "dateModified": "2025-08-06T04:28:17+00:00",
    "articleSection": [
        "Question"
    ],
    "author": {
        "@id": "https://greeks.live/#organization"
    },
    "publisher": {
        "@id": "https://greeks.live/#organization"
    },
    "image": {
        "@type": "ImageObject",
        "url": "https://options.greeks.live/wp-content/uploads/2025/07/principal-crypto-derivatives-os-rfq-execution-microstructure.jpg",
        "caption": "This abstract visual depicts a sophisticated Principal's operational framework for institutional digital asset derivatives. A grey sphere symbolizes a deep liquidity pool, integrating a blue dark pool for block trades. A precise metallic beam represents a high-fidelity execution pipeline showcasing diverse digital asset derivatives instruments. This system leverages an RFQ protocol for atomic settlement, minimizing slippage, and achieving best execution within the market microstructure of its Crypto Derivatives OS."
    },
    "keywords": [
        "Alarm Fatigue",
        "Alert Fatigue",
        "Alert Triage Optimization",
        "Analyst Burnout",
        "Detection Engineering",
        "False Positive",
        "False Positive Rate",
        "Human Factors Engineering",
        "Mean Time to Respond",
        "MTTR",
        "Quantitative Risk Modeling",
        "Risk-Based Alerting",
        "Security Operations",
        "Security Operations Center",
        "SOAR",
        "SOC",
        "Threat Intelligence Integration"
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "WebSite",
    "url": "https://options.greeks.live/",
    "potentialAction": {
        "@type": "SearchAction",
        "target": "https://options.greeks.live/?s=search_term_string",
        "query-input": "required name=search_term_string"
    }
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "FAQPage",
    "mainEntity": [
        {
            "@type": "Question",
            "name": "What Is The Role Of Risk Based Alerting?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "Risk-based alerting represents a profound departure from traditional, volume-based security monitoring. Instead of treating every alert as equal, this model assigns a risk score to events based on a confluence of factors. This approach operationalizes the understanding that not all security events carry the same potential for harm. A brute-force attempt against a non-critical, test-environment server has a much lower risk profile than a successful credential access on a domain controller. The strategy involves developing a quantitative model to score these events automatically. This allows the SOC to concentrate its human resources on the highest-risk incidents, accepting a degree of managed risk at the lower end of the spectrum. This is a calculated decision to optimize resource allocation for maximum impact, a concept well understood in financial portfolio management."
            }
        },
        {
            "@type": "Question",
            "name": "How Do You Architect A Feedback Driven System?",
            "acceptedAnswer": {
                "@type": "Answer",
                "text": "A feedback-driven system is one that is designed to improve itself through operational use. Architecting such a system requires building the mechanisms for feedback directly into the analyst's primary tools. The goal is to make providing feedback as seamless as possible, so it becomes a natural part of the workflow rather than an additional chore. This involves tight integration between the SIEM, the ticketing system, and the security orchestration, automation, and response (SOAR) platform."
            }
        }
    ]
}
```


---

**Original URL:** https://options.greeks.live/question/how-can-you-mitigate-the-risk-of-analyst-burnout-from-alarm-fatigue/
