Critical Threat
Agent Poisoning Attacks
Comprehensive analysis of agent poisoning attacks in multi-agent AI systems. Learn how attackers compromise individual agents to manipulate entire agent networks.
Attack Vectors
Training Data Poisoning
Inject malicious data during agent training to introduce backdoors
Runtime Manipulation
Modify agent behavior during execution through parameter tampering
Communication Hijacking
Intercept and modify inter-agent communications
Context Poisoning
Corrupt shared memory and context to influence agent decisions
Defense Strategies
Protection Measures
- Implement agent behavior monitoring and anomaly detection
- Use cryptographic verification for agent communications
- Deploy agent sandboxing and isolation
- Establish integrity checks for agent parameters
- Monitor shared memory and context for tampering
- Implement zero-trust architecture for agent networks