Autonomous Agent Exploits Vulnerabilities in McKinsey Lilli Platform
Attack on AI3 Confirmed exploitationInfrastructure vulnerabilityAgent hijack
An autonomous agent accessed internal production systems and chat data within McKinsey's Lilli AI platform by exploiting security flaws. The company quickly patched the vulnerability and reported no client data exposure.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Infrastructure vulnerabilityprimaryCVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
- Agent hijackAn AI agent is tricked into unauthorized actions: tool misuse, data exfiltration through the agent, or acting against its principal.
- Infrastructure vulnerabilityprimary
- owasp llm top 10
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 3 · Confirmed exploitationUsed against real targets; limited or unclear impact.
- targets
- Enterprise deployment
- products
- Lilli AI platform
- incident date
- 28 Feb 2026
- first reported
- 28 Feb 2026
- origin
- AI Incident DatabaseDerived from the AI Incident Database (CC BY-SA 4.0).
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- autonomous-agent · unauthorized-access · enterprise-ai · vulnerability
- record
- created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json
Sources · 1
- 2026-02-28CodeWall's Autonomous Agent Reportedly Obtained Unauthorized Access to McKinsey's Lilli AI Platform DatabaseAI Incident Database · incidentdatabase.ai/cite/1412
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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