agentic-threat-modeler

Identify prompt injection vulnerabilities in multi-agent systems by analyzing trust boundaries and inter-agent communication paths. This process pinpoints data exfiltration vectors and maps how malicious inputs can abuse agent tools.

Threat modeling for agentic systems is the process of mapping security risks in tool-augmented agent architectures. You need it when designing multi-agent workflows to proactively secure trust boundaries before deployment.

Assess cybersecurity risks by scoring the likelihood and impact of identified threats across your agent topology. This generates a quantified risk profile that prioritizes which inter-agent abuse paths require immediate mitigation.

Yes, you can model threats for architectures integrating multiple external tools. The analysis specifically evaluates how data flows between agents and tools, identifying external abuse paths and defining necessary monitoring signals.

Define mitigation controls for multi-agent security flaws by establishing strict perimeters at trust boundaries. This approach proposes concrete monitoring signals and control measures to prevent unauthorized tool access and data exfiltration.

Inter-agent abuse occurs when trust boundaries are poorly defined between agents and external tools. Prevent it by mapping attack vectors, scoring risks, and implementing concrete mitigation controls to secure inter-agent communication paths.