# AI Governance, Risk & Security

Source: https://www.elenjical.com/services/ai/ai-model-risk

Pillar: [AI & Agents](https://www.elenjical.com/services/ai)

Governance, guardrails and audit for the models and agents you put into production.

Models in production carry risk: drift, bias, misuse and unclear ownership. The governance we put around them means an inventory, controls, monitoring and an audit trail that stands up to review. Regulators want to see more than a model that works. They want evidence that someone controls it.

## Guardrails at runtime

AI opens new ways to leak data, and new ways for someone to misuse a system. Runtime guardrails block unsafe actions, mask sensitive data, and stop prompt-injection before it reaches your systems. Teams get to use AI while the risky paths stay closed by default.

## Related services

- [Forward Deployed Engineers](https://www.elenjical.com/services/ai/forward-deployed-engineers): Engineers embedded in your team, working in your systems and shipping alongside your people.
- [AI Strategy & Assessment](https://www.elenjical.com/services/ai/ai-strategy): A grounded AI strategy, with one opportunity proved before you commit.
- [Agentic Frameworks & Orchestration](https://www.elenjical.com/services/ai/agent-framework): Agents that operate the systems you already run, orchestrated and safe to put in front of real work.
- [Retrieval & Knowledge (RAG)](https://www.elenjical.com/services/ai/rag-knowledge): Answer questions over your own documents and data, with citations.
- [AI Platform & Infrastructure](https://www.elenjical.com/services/ai/ai-infrastructure): The compute, frameworks, hosting and operations that keep AI running at a cost you can predict.

## Contact

To discuss AI Governance, Risk & Security: info@elenjical.com · [Contact page](https://www.elenjical.com/contact)