AI-powered defensive vulnerability discovery and remediation
Use a self-propagating or distributed AI methodology defensively: identify vulnerabilities across devices, explain how to fix them, and potentially patch the vulnerabilities instead of exploiting them.
online B2B Deep Tech / Infrastructure
From IBM Technology — Can you social engineer an AI? Plus: AI worms and the nonhuman identity problem at 19:03
Problem: Traditional security teams may struggle to find vulnerabilities across changing environments quickly enough, while attackers can use similar AI techniques to discover and exploit them.
For: Organizations that need to discover and remediate vulnerabilities across their environments.
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Examples
- University of Toronto researchers' self-replicating agent used an open-source LLM, spread from device to device, ran a local model, and selected different vulnerabilities and exploits for each device.
Other takes on AI security infrastructure
- Agentic consent governance layer for autonomous AI systems
- Enterprise agentic last-mile identity and access control layer
- Identity-based security infrastructure for multi-agent AI systems
- AI-agent security and control infrastructure for enterprises
- A guardrail tool that enforces strict test-driven development and other engineering rules for AI coding agents
- AI-powered scam-interception and threat-intelligence service
All AI security infrastructure ideas →