Solution Brief

Intent-Based Role-Play Defense

Role-Play DefenseIntent EvaluationRuntime

Defeat Framing Attacks That Keyword Filters Miss

Role-play and authority framing still getting past every static rule you've deployed?

Role-play attacks have no malicious syntax — they succeed because intent is the only signal, and intent is what keyword filters cannot read. AgentTrust OS scores behavioral confidence first, then runs a semantic intent evaluation to determine whether the request falls within the agent's authorized scope. Both checks run pre-execution, before any business action fires.

Download this Solution Brief to learn how to:

  • ✓Detect role-play and authority framing attacks that contain zero malicious keywords
  • ✓Apply confidence scoring and intent evaluation without pattern lists attackers can study
  • ✓Block framing attacks at the action layer — even when they pass the text layer
Solution Briefs ↗

More from the platform

Explore the other products and deep-dive capability briefs that complete the AgentTrust OS trust layer.

The Three-Layer Trust Platform

Core Products

Capability Deep-Dives

What the platform eliminates

Adversarial Attack Defense

Stop Adversarial Prompts Before They Reach Your Agents

Two-layer semantic defense — confidence gate first, LLM judge second — catches adversarial payloads before any action executes, without relying on pattern lists that attackers already know how to evade.

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Deterministic Enforcement

Make Every Governance Decision Outside the Model

Four injection-proof, model-free deterministic gates evaluate every request before an LLM ever sees the payload — the decision is made and enforced entirely outside the model.

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Behavioral Intelligence

See Salami Campaigns Across the Full Conversation

Behavioral drift tracking compares each agent's history and fleet baselines across turns — salami campaign injections that look innocuous message-by-message become visible as a pattern.

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Architecture Hardening

Remove the Model from Your Enforcement Path

Deterministic-first architecture puts four gates in front of every request — the async LLM judge enriches the audit record after the fact, but it never touches the verdict.

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