Solutions · 05 / 05
Governance that's built in, not bolted on.
- Domain
- Governance & Compliance
- Capabilities
- 05
- Evidence
- 03 points
- Start
- Build your governance stack
Most organizations have AI in production and governance on a roadmap. The gap between those two states is where incidents happen.
We build governance into the system architecture - not as policy documents that sit next to the codebase, but as runtime rules, automated testing, and monitoring that actually enforces the principles your organization claims to follow. Our published frameworks give your team a starting point. Our products and tooling make it operational.
What we map against.
- 01
EU AI Act
Risk classification, conformity assessment, transparency obligations
In force - 02
India DPDP Act
Data protection, consent management, cross-border transfers
In force - 03
OWASP Top 10 for LLMs
Prompt injection, data leakage, insecure plugins, excessive agency
Industry standard - 04
NIST AI RMF
Risk mapping, measurement, management, governance functions
Framework - 05
California SB 243
AI companion safety, minor protection, crisis detection mandates
Signed Oct 2025
Four phases. Not a one-time audit.
- 01
Phase 1
Discover
Map your current AI systems, identify shadow AI, assess risk exposure across the stack.
- 02
Phase 2
Design
Build governance frameworks matched to your regulatory surface - not generic templates, but architecture-level rules.
- 03
Phase 3
Implement
Embed governance into runtime: automated testing, policy enforcement, drift detection, approval workflows.
- 04
Phase 4
Assure
Continuous monitoring, refresh cycles, and regulatory tracking so governance stays current as your systems evolve.
What we do.
AI governance frameworks
Risk taxonomies, review boards, decision-making structures for responsible AI deployment.
Regulatory preparation
Mapping your AI systems against EU AI Act, India's DPDP Act, sector-specific mandates. Gap analysis and remediation planning.
Continuous assurance
Governance as an ongoing process, not a one-time audit. Drift detection, policy enforcement, refresh cycles.
Shadow AI discovery
Finding and assessing AI tools your organization is already using but hasn't reviewed.
Governance tooling
Building the internal dashboards, approval workflows, and monitoring systems that make governance operational.
Our products enforce what your policies promise.
- 01
Continuous adversarial testing mapped to regulatory requirements
- 02
Runtime enforcement of governance rules - content policies, data handling rules, use-case restrictions
- 03
Published governance methodology and frameworks
- 01SecurityYour systems, stress-tested - from infrastructure pentests to AI red-teaming
- 02Intelligent SystemsCustom AI and internal tooling that fits your operations, not the other way around
- 03Explainable AISystems you can explain, trace, and audit - by architecture, not afterthought
- 04Safe AI for Young UsersAI that earns trust with the people who need it most
Governance & Compliance
Close the gap between production and governance.
Governance that's embedded in the systems themselves, not in a binder on a shelf.