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Katyar — Verifiable Compliance for Autonomous AI Agents

Katyar is the zero-trust control plane purpose-built to make autonomous AI agents compliant in regulated enterprises. It sits between your agents and critical systems — enforcing strong traceability, graduated human oversight, automated quantitative compliance scoring, and full audit readiness across EU AI Act, NIST AI RMF, UK ICO, DORA, NIS2, and SOC 2. Katyar delivers verifiable autonomy — agents operate freely within defined boundaries, with compliance scores that start at 0% and rise only when real controls are exercised — no inflated metrics, no false green.

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The Compliance Gap Blocking Agent Adoption

Enterprises want production-scale agentic workflows but are stalled by three critical compliance problems:

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1. Regulatory Fines

Non-compliance with major frameworks — especially the EU AI Act — can trigger fines of up to €35 million or 7% of global annual turnover, whichever is higher.
  • High-risk AI systems without proper oversight and documentation are automatically non-compliant
  • Lack of explainability, traceability, or human review = direct violation
  • One serious incident can trigger investigations and multimillion-euro penalties

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2. Hidden Agent Risks

Agents silently call external APIs, access PII, modify production systems, or execute high-stakes tools without meaningful oversight — creating massive undetected liability.
  • Actions lack verifiable provenance
  • No automatic pause or justification for risky decisions
  • Shadow / ungoverned agents proliferate across teams

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3. Compliance via Spreadsheets

Manual evidence collection is slow, error-prone, and instantly outdated the moment an agent ships new code or behavior changes.
  • Audit trails become incomplete overnight
  • Regulators receive stale or inconsistent evidence
  • Teams waste weeks preparing for every audit Result: Risk-averse paralysis. Teams build powerful agents in sandboxes, but production deployment remains blocked indefinitely.

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How Katyar Closes the Compliance Gap

Katyar enforces compliance in real time through four tightly integrated layers:
  1. Full Traceability
    Every agent action is logged and anchored to a verifiable enterprise identity — complete provenance for audits.
  2. Graduated Human Oversight (HITL)
    High-risk actions automatically pause and route to Slack / Teams / dashboard for review — with timeouts, escalation paths, and mandatory justification logs.
  3. Quantitative Compliance Scoring
    Starts at 0% — increases only when controls are demonstrably exercised — exportable evidence pack for regulators (21+ controls aligned to EU AI Act, DORA, NIS2, SOC 2, NIST AI RMF, etc.).
  4. Centralized Agent Inventory
    Single view of all agents + gated onboarding to eliminate shadow AI deployments.

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Key Compliance Outcomes

ChallengeKatyar Outcome
Manual evidence collectionAutomatic scoring + exportable audit evidence
Hidden / unmonitored agent riskTraceable logs + configurable HITL with justifications
Exposure to multimillion-euro finesProvable alignment with EU AI Act + major frameworks
Outdated compliance artifactsReal-time updates + always-current scoring
Shadow AI deploymentsCentralized inventory + enforced onboarding

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Who Should Use Katyar?

Every agentic AI company that wants to:
  • Make their agents compliant with EU AI Act, DORA, NIS2, SOC 2 and similar frameworks
  • Avoid paying multimillion-euro fines for non-compliance
Especially teams building or deploying agents in:
  • Financial services
  • Insurance
  • Healthcare
  • Critical infrastructure
  • Any customer-facing or high-stakes enterprise vertical

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The Bottom Line

In 2026 and beyond, autonomous AI is action-oriented — and action without verifiable, auditable compliance is a direct path to regulatory penalties. Katyar turns compliance from a painful, manual bottleneck into a scalable, automated enabler — so your agents can move to production safely, provably, and without the fear of €35M fines.