Security Architecture
Safe AI agents
by design.
Every decision passes through a controlled pipeline — from input to audit trail. No agent goes live without a security architecture.
How to build safe AI agents?
AI agent security architecture for e-commerce
EU AI Act compliance for AI agents
Input & Classification
Every request is validated, normalized, and classified before entering the pipeline. Cases outside trained patterns are detected and stopped — never guessed.
- Input validation and format checks
- Detection of unknown request patterns
- Confidence threshold enforces escalation
Context & Rule Versions
The agent loads rules, contracts, and operational data at the time of the decision. When rules change between event and processing, the agent knows which version applies.
- Point-in-time decision context
- Versioned business rules
- Reproducible decision basis
Decision & Verification
Critical decisions are reviewed by multiple independent models. When they disagree, a human decides — the agent never has the last word on sensitive actions.
- Independent multi-model review
- Disagreement triggers human review
- Separated responsibilities per stage
Guardrails & Permissions
Every agent operates within clearly defined boundaries. Permissions follow the least-privilege principle, actions are limited, and critical operations are reversible.
- Minimal permissions per agent
- Action limits and blocked paths
- Rollback-capable operations
Audit Trail & Compliance
Every step is logged — not just what happened, but why. Decision paths document input, context, reasoning, and outcome.
- Complete decision log
- Reasoning for every action documented
- EU AI Act Art. 13 — transparency requirements
How safe is your agent architecture?
We analyze your existing or planned AI pipeline and identify gaps — from classification to compliance.