AI Agent Data Poisoning: When Trusted Information Sources Become Attack Vectors
Attackers are exploiting autonomous AI agents by injecting malicious content into trusted data sources, using techniques ranging from hidden code injection to cognitive state manipulation. This represents a new attack surface where data integrity failures can compromise AI decision-making at scale.