Lab 01: Asset Knowledge Poisoning
Investigate how malicious documents injected into an AI assistant's knowledge base can poison responses and exfiltrate data.
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Hands-on labs for red-teaming autonomous AI systems.
UPCOMING AI SECURITY LABS
Investigate cross-session memory leakage in an internal AI helpdesk where one employee's conversation context may surface in another employee's session.
View objective →Investigate how malicious documents injected into an AI assistant's knowledge base can poison responses and exfiltrate data.
Coming SoonExploit model hallucinations to bypass authorization checks and escalate privileges in an identity-aware AI system.
Coming SoonInvestigate a malicious Model Context Protocol (MCP) plugin that poisons the AI's tool calls and exfiltrates data.
Coming SoonExploit a financial AI assistant's function calling to exfiltrate beneficiary and transaction data across tenant boundaries.
Coming SoonInvestigate a multi-agent marketing workflow where a compromised sub-agent hijacks the orchestration flow.
Coming Soon