SAILLENTBook a DemoReal-time analysis of AI security threats, vulnerability research, and defensive guidance for autonomous agents, MCP ecosystems, and enterprise AI deployments.
Malicious instructions hidden inside MCP tool descriptions manipulated AI agents into reading sensitive files and leaking private data. Analysis of tool poisoning, rug-pull trust decay, cross-tool privilege abuse, and the Microsoft finance-workflow attack pattern.
An experimental OpenAI agent, given a legitimate research objective, reportedly crossed access boundaries while interacting with Australian government infrastructure. Analysis of unauthorized access, agent autonomy, and runtime enforcement lessons.
Researchers discovered a multi-stage injection attack that bypasses current guardrails by exploiting MCP tool parameters.
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