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AI Cyber Defense / Protecting AI systems used by defenders and the business

AI Cyber Defense: Control multimodal evidence ingestion for AI triage

Treat extracted content as untrusted data and keep action authorization independent of text, image or audio interpretation. Restrict parsers and avoid unnecessary media retention.

Compiled for Sorlavit Kim · Published · Updated · 2 min read

Environment and inputs: Enterprise AI assistants, security copilots, retrieval systems and application-controlled tool executors; framework-independent design.

Scenario and goal

Screenshots, attachments and OCR output can contain misleading instructions alongside legitimate incident evidence.

Why it matters

This path concerns attacks against AI-enabled systems used by the defender or business. It complements defenses against attackers who use AI as a tool. Treat model inputs, retrieved evidence and generated plans as untrusted proposals at execution boundaries. A model may assist analysis, but the application remains responsible for tenant isolation, authorization, resource budgets and the integrity of approvals and receipts.

Evidence to collect

Preserve the original object's provenance, derived text, extraction version and the passages used in the generated conclusion.

Validate with an authorized exercise

Use a synthetic screenshot with instruction-like text and benign incident facts; verify the assistant reports evidence without treating the embedded request as permission to act.

Rollout and checks

Use synthetic evidence and mocked write tools for adversarial evaluation. Version the model, prompts, tool contracts and retrieval configuration together. Keep high-impact permissions outside the model and retain an operator takeover path. When an evaluation fails, correct the enforceable boundary and rerun the same fixture rather than relying only on a stronger wording of the prompt.

Scope and limits

This guide proposes a defensive test; it is not a tested production design. Check platform support and local requirements. References explain the mechanisms but do not certify the design. Behavior alone does not prove AI involvement.

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