Architecting autonomous security operations (SecOps), managing non-deterministic workflows, verifiable AI guardrails, and the Hierarchy of Needs for AI agents.
Addressing attack velocity (every 39 seconds) and $4.35M breach costs with autonomous self-healing agentic defense, threat summarizers, and Rakshak-AI.
Rethinking security, trust boundaries, multi-agent orchestration, deterministic vs non-deterministic workflows, and enterprise governance in autonomous ecosystems.
Exploring the cybersecurity battlefield, the new agentic attack surface, prompt injection defenses, multi-agent risk multiplication, and runtime intent enforcement.
In-house distributed load testing framework to simulate real-world messaging user journeys, vertically & horizontally stressing backend DBs, caches, queues, and CI/CD pipelines.
The Clean Attack Problem: When nothing looks wrong but everything is compromised. Shifting from anomaly detection to intent reasoning, behavioral sequencing, and runtime decision analysis.
Addressing post-authentication risk and trusted-agent misuse. Why Zero Trust must evolve beyond static identity verification toward continuous behavioral monitoring and runtime intent analysis.
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