prompt-injection-risk

A prompt-injection risk review enumerates threat surface carriers including system prompts, user inputs, retrieved content, tool outputs, and agent memory. It evaluates each carrier's trust posture, tests attack classes, and documents mitigations to produce a structured risk analysis report.

Common prompt-injection attack vectors in GenAI architectures include system prompts, user inputs, retrieved content, tool outputs, agent memory, multi-agent messages, and multimodal inputs. Each carrier represents a potential entry point where malicious instructions can be injected into the system.

Conduct a prompt-injection risk assessment before deploying a GenAI customer support assistant by mapping the system architecture, enumerating all threat surface carriers, evaluating trust postures, and documenting residual risks with recommended owner actions, monitoring signals, and incident response procedures.

Yes, this prompt-injection risk review supports multi-agent GenAI systems by specifically evaluating multi-agent messages as a distinct threat surface carrier. It assesses the trust posture and attack classes relevant to inter-agent communication alongside standard input vectors.

A prompt-injection residual risk analysis for financial GenAI applications includes determining the likelihood and impact of remaining risks after mitigations, listing production monitoring signals, defining incident response procedures, and recommending specific owner actions to address vulnerabilities.