AI governance that
enforces in real time, not next quarter.

We're building Niti's policy engine in native Rust — no garbage collection pauses, no JVM warmup, no Python GIL — for fast, predictable policy decisions in the request path. We're engineering for low-latency enforcement and zero-downtime policy updates. Deeper technical detail will follow as we validate with design partners.

• Native Rust — no GC pauses, built for low-latency enforcement
• Policy evaluated inline, in the request path
• Hot reload — policy updates with zero traffic interruption
• Policy conflict detection — no silent governance gaps
• YAML and no-code visual policy editor

The highest-stakes AI is being embedded into the systems that run the business — ERP, HR, finance, procurement. We're designing Niti to govern AI inside these enterprise workflows, where a wrong action isn't just a bad answer — it touches money, records, and people. A direction we're building toward with design partners, not a shipped integration.

• Designed to govern AI inside ERP, HR, finance & procurement
• Action-level control — not just text-output review
• Role- and permission-aware enforcement
• Native connectors validated with design partners before we claim them
• On-prem — sensitive systems of record stay in your environment

Traditional governance tools were designed for models that generate text. Niti Mesh was designed for agents that initiate actions. There is a fundamental difference — a model producing a bad response is recoverable; an agent sending 10,000 emails, deleting database records, or transferring funds is not. Mesh governs the action, not just the output.

• Runtime behavioral intent analysis — detects policy drift mid-execution
• MCP server governance — tool call enforcement at the protocol level
• Agent-to-agent communication policies — governs the full mesh
• Real-time kill switches — halt rogue agents without system restart
• Human-in-the-loop escalation — configurable by risk tier

Compliance is not one framework — it's EU AI Act plus NIST AI RMF plus ISO 42001 plus India's IndiaAI and sector rules plus your internal policies, all simultaneously. We're building Niti Lens to map every AI system to every applicable framework and generate the evidence documentation each one requires — without your legal team writing it by hand.

• Pre-built policy packs — designed to deploy in hours, not months
• EU AI Act conformity documentation generation
• NIST AI RMF posture tracking with evidence generation
• ISO 42001 certification readiness gap analysis
• India (IndiaAI, RBI, SEBI, DPDP) + custom internal packs

You cannot govern AI you don't know about. The average enterprise has 3–7× more AI tools in active use than IT has approved. Niti Lens continuously scans network traffic, endpoint telemetry, and SaaS integrations to surface ungoverned AI tools — giving you the complete picture before a regulator finds the gaps first.

• Continuous shadow AI scanning — network, endpoint, SaaS
• AI system inventory with risk classification
• Ungoverned AI flagging with remediation workflows
• Shadow AI report for EU AI Act Article 53 obligations
• Integration with existing CMDB and asset management

Every governance decision — permit, deny, redact — is written to a tamper-proof, append-only audit log with full context. When a national competent authority requests evidence of your EU AI Act compliance, you produce a queryable report in minutes rather than assembling evidence over weeks. The audit trail is your proof, not your liability.

• Tamper-proof append-only log store — cryptographically verifiable
• Full context on every decision: principal, resource, policy, timestamp
• Full-text search and filter — find any decision instantly
• SIEM integration — Splunk, Datadog, Elastic, Sumo Logic
• Regulatory report generation — one click, regulator-ready format