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Prompt injection

How Cyberdroid AI handles instructions inside the data it reads.

Instructions inside the evidence

Logs and messages can contain attacker-controlled instructions. Treat that material as untrusted evidence and enforce access and delivery permissions outside the model. Review the resulting assessment against the source records.

Controls around the model include bounded queries, requester and recipient checks, restricted operations and separate authorization.

How it works

  1. Instructions in logs

    Text planted in a log is analyzed as evidence.

  2. Claims of authority

    A message cannot grant itself permission. Access comes from the approved task and independently enforced policy.

  3. Fixed task list

    Requests map to a fixed list of investigation tasks.

  4. Recipient checks

    Recipients are checked before and after a reply is written.

  5. Separate signer

    Release of the result follows a separate authorization check, rather than instructions contained in the draft.

Limits

Reasoning

Untrusted text can influence an interpretation. A separate review tests whether the proposed conclusion is supported, with unresolved concerns retained for the analyst.

Gradual change

Slowly changing behavior can enter a baseline. Cyberdroid AI Detection, available now to select organizations, also compares users and hosts with their peers.

Records

Each refused request and quarantined reply is recorded.

Refusals

Refused claims are recorded with an operation id and reason.

Quarantine

A reply no authorized person asked for is quarantined.

Standards

Naming a clause is not a claim of certification.

OWASP

OWASP lists prompt injection (LLM01:2025) and, for AI agents, goal hijack (2026). The design above addresses both.

EU

Article 15 of the EU AI Act asks high-risk systems to resist adversarial examples and model evasion.

ARRTECH

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