Glossary

Alert fatigue represents one of the most pressing challenges facing security operations centers today.

Agentic AI represents a transformative approach to cybersecurity automation that enables artificial intelligence systems to independently perceive threats.

What is Adaptive Learning in Security Operations Centers? Learn more about creating dynamic systems that learn from every security event, user behavior pattern, and organizational context.

The definition of baselining in the security context refers to the practice of documenting and monitoring the standard operational parameters of your systems, networks, and applications

The Bayesian Threat Classification is a probabilistic approach used in modern security operations centers to evaluate and prioritize cyber threats. Read more...

Behavioral Analytics is the systematic process of monitoring and analyzing user and system behavior patterns to detect anomalies, identify security threats, and uncover unusual activity within networks and applications.

Definition of "Blue Team" in Cybersecurity Operations. The defensive security specialists within an organization who are responsible for protecting information systems, networks, and data from cyber threats.

What is Behavioral Drift? Learn more about the pheomenon when users, systems, or applications gradually deviate from their established patterns of normal activity.

Advanced artificial intelligence systems that classify and identify unique behavioral signatures of botnets through pattern recognition and machine learning analysis.

What is Chokepoint Telemetry? Chokepoint telemetry from concept to implementation, examining why this approach has become essential for both enterprise Security Operations Centers and Managed Security Service Providers (MSSPs)

What is Confidence Threshold Calibration? Confidence Threshold Calibration is the systematic adjustment of the scoring thresholds that AI models use to classify security events and incidents. Read more here...

What is Continuous Telemetry? Why is it important for security teams and SOC Analysts? Learn more about the foundational data layer that powers modern threat detection

Learn more about CognitiveSOC™, a patented agentic SOC platform that completely changes how organizations detect, investigate, and respond to security threats.

Contextual Enrichment Explained. The definition and everything you need to know about Contextual Enrichment in Cybersecurity. Read more...

What is Command Chain Validation? Learn everything you need to know about Command Chain Validation in the SOC Automation industry.

What is Dynamic SOC Agent Orchestration? An intelligent system that scales security response capabilities in real-time, matching resource allocation to actual operational needs rather than relying on static configurations.

What is Data Pipeline (Security Telemetry)? Structured Security Data Flows for AI-Powered SOC Analysis and Modern Threat Detection. Read more...

Learn everything about Decision Support AI, a specialized category of artificial intelligence systems engineered to augment human judgment in Security Operations Center (SOC) workflows

Learn everything about Data Residency Aware AI, what is it, what is does and how it can help your business to be better in security!

All the information about Detection Coverage Gap, what it is, why it is important for SOC leaders and how to close these gaps.

Drift Analysis for SOC Rules epresents a critical process for identifying when security detection rules lose their effectiveness due to changes in the IT environment, threat landscape, or operational context. 

The efficiency vs. effectiveness tradeoff represents one of the most challenging dilemmas facing Security Operations Centers (SOCs) today.

Embedding Optimization represents the process of refining and customizing vector representations of data, to improve their performance in downstream classification tasks

Combination of AI models (LLM + statistical + rule-based) for more robust detections.

The Definition of Data Residency Aware AI and its Critical Role in Modern Security Operations. Read more...

Exfiltration Vector Mapping: a comprehensive approach to identifying, tracking, and analyzing the specific pathways attackers use to steal sensitive data from enterprise networks. 

Understanding Cross-Organizational AI Security Intelligence Without Compromising Data Privacy in Modern Federated SOC Learning Environments

Understanding User Identity Mapping and Enhanced Insider Threat Detection Through Fine-Grained Role Attribution

Learn how false positive suppression reduces alert fatigue in SOCs using context-aware filtering and machine learning. Improve MTTD, MTTR, and analyst productivity.

Learn about Golden Signals, the framework of four critical metrics originally designed for system observability that have become fundamental for monitoring, measuring, and optimizing Security Operations Center (SOC) performance.

Understanding How Generative AI Transforms Modern Security Operations Centers

The definition and explanation of Graph-Based Threat Modeling: Understanding Attack Path Visualization and Lateral Movement Detection

Master Handoff Protocols in AI-driven SOCs. Improve analyst efficiency, reduce MTTR, and ensure human-in-the-loop accuracy with structured escalations.

Learn how heuristic correlation combines security signals using logic-based reasoning. SOC managers and CISOs guide to reducing false positives and alert fatigue.

Learn what a Hybrid SOC is and how it combines AI agents with human analysts. Discover implementation steps, benefits, and best practices for SOC managers.

Learn how an Institutional Knowledge Repository captures playbooks, tribal knowledge, and procedures to accelerate SOC operations and enable intelligent security automation.‍

Learn how just-in-time response orchestration uses contextual triage to route security alerts and automate SOC workflows. Guide for CISOs and SOC managers.