Supercharging Threat Intelligence with AI
summary
Claims that LLMs plus MCPs can automated IOC extraction from PDFs chats and advisories, then perform MCP-backed enrichment against OSINT commercial feeds internal incidents and telemetry, correlate and prioritize results, and push outputs into SIEMs and SOARs. Implementation uses fine‑tuned open and proprietary models, custom parsers, and an automated fleet sweep across logs (EDR, cloud, network). Reported outcomes: 78% of teams overwhelmed, 45% alerts never investigated, experiments at Adobe show large reductions in analysis time and faster, higher‑fidelity alerts.
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chapters (10)
- 0:00AI in threat intelligence
- 2:13Defining intelligence
- 5:24Cyber espionage evolution
- 7:30Threat intelligence challenges
- 10:41Time trap in cybersecurity
- 13:12AI transforms threat intelligence
- 16:24Adobe’s AI pipeline
- 18:29AI amplifies human intelligence
- 20:32Human-AI partnership irreplaceable
- 22:19Q&A
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