Continuous Threat Exposure Management

xAI-Cyber-Security-KrishnaG-CEO

🔍 Explainable AI in Cybersecurity: Making Defence Decisions Transparent and Trustworthy

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Cybersecurity AI systems ingest terabytes of structured and unstructured data—logs, network traffic, endpoint signals, emails—to detect threats and anomalies. These systems often use complex models like Random Forests, Deep Neural Networks, or Unsupervised Clustering techniques.

Agentic-RAG-CTEM-KrishnaG-CEO

Agentic RAG in CTEM: Reimagining Continuous Threat Exposure Management with Autonomous Intelligence

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Continuous Threat Exposure Management (CTEM) is not a tool or platform but a strategic programme that integrates threat intelligence, attack surface management, vulnerability prioritisation, and validation techniques like red teaming or breach simulation.
Unlike traditional AI, agentic systems have goal-oriented autonomy, situational awareness, and collaborative decision-making traits. Think of them as proactive digital analysts embedded in your CTEM loop.