From Threat Intel To Unified Cyber Risk Intelligence
Noise is the enemy of good defense. We sit down with Jawahar Sivasankaran President of Cyware to unpack how a threat-centered architecture, powered by agentic AI and rich collaboration, can turn scattered data into clear, prioritized action.
Rather than adding yet another dashboard, the strategy puts high-fidelity intelligence at the core of the SOC so every control—detection, response, and exposure management—makes smarter moves, faster. We trace the evolution from a classic TIP to unified cyber risk intelligence, where enrichment, STIX-based normalization, and context from compromised credentials, domain sightings, and digital risk protection reshape triage. You’ll hear why many enterprises still drown in alert fatigue, how agent frameworks outperform simple LLM wrappers, and what it takes to route Tier 1 work to autonomous agents so analysts can focus on adversary mapping, hunting, and enterprise risk decisions. The result: measurable reductions in mean time to detect and respond, plus clearer board reporting on actors, TTPs, and shifting exposure. Trust and speed also come from the community. We dig into bidirectional sharing with ISACs and focused sector hubs, and how downstream organizations with limited staff can turn shared intel into executable actions, not just headlines. We explore the twin pillars of AI for security and security for AI—covering model and agent risks, governance, and the practical wins of AI-driven SOC transformation. Finally, we look ahead at strategic partnerships and a platform approach that pushes beyond legacy TIP capabilities to meet how attackers operate today.