Deterministic Compliance.

The EU AI Act mandates transparency, traceability, and human oversight for high-risk systems. Akios provides the engineering primitives to satisfy these requirements at the infrastructure level.

[Compliance Topology Visualization]

The Mandate

For "High-Risk" AI systems, the EU AI Act moves beyond principles to strict engineering requirements. Compliance is no longer a policy document; it is a system property.

Article 14: Human Oversight

Systems must allow for effective human oversight. This requires "stop buttons" and intervention capabilities that can override the model's outputs in real-time.

Article 13: Transparency

Operations must be sufficiently transparent to enable users to interpret the system's output. Black-box reasoning is no longer acceptable for critical decisions.

Article 15: Accuracy

High-risk AI systems must achieve an appropriate level of accuracy, robustness, and cybersecurity, and perform consistently throughout their lifecycle.

The Akios Solution

We map regulatory requirements directly to infrastructure capabilities. Our control plane ensures that your agents remain compliant by design.

Akios Radar

Solves Article 12 (Record-Keeping) and Article 13 (Transparency).

  • →Immutable audit logs of all agent actions.
  • →Full reconstruction of reasoning chains.
  • →Session replay for forensic analysis.

Akios Flux

Solves Article 14 (Human Oversight).

  • →Real-time intervention gates.
  • →"Circuit Breaker" pattern for runaway agents.
  • →Human-in-the-loop workflow routing.

Akios AI

Solves Article 15 (Accuracy & Security).

  • →Deterministic policy enforcement.
  • →Adversarial defense layers.
  • →Continuous drift monitoring.

Ready to Ship?

Don't let regulation slow down your deployment. Automate compliance with the Akios Control Plane.

Compliance as Code.

Don't rely on PDF policies. Enforce regulation at the runtime level with the Akios SDK.

trace_log.json
{
  "trace_id": "req_8f92a",
  "agent": "loan_approver",
  "step": 3,
  "reasoning": "Risk score > 0.8 requires human review",
  "action": "HALT_FOR_REVIEW",
  "policy_ref": "eu_ai_act_art_14",
  "timestamp": "2024-03-15T10:30:00Z"
}

Reasoning Chains (Art. 13)

Every agent decision is captured with a cryptographic trace, linking input, reasoning, and action.

policy.yaml
policies:
  - id: "high_risk_financial"
    trigger: "transaction_val > 10000"
    action: "require_human_approval"
    timeout: "1h"
    fallback: "reject"
    owner: "compliance_team"

Intervention Gates (Art. 14)

Define "Circuit Breakers" in YAML to automatically pause agents when high-risk conditions are met.

monitor.ts
export const accuracyCheck = defineCheck({
  metric: "f1_score",
  threshold: 0.95,
  window: "24h",
  onViolation: async (ctx) => {
    await ctx.agents.freeze();
    await ctx.notify.compliance("Drift");
  }
});

Drift Detection (Art. 15)

Continuously monitor model performance against baseline metrics to detect accuracy degradation.

Compliance as Code.

Stop managing compliance with spreadsheets. Start managing it with infrastructure.