AI Security
Secure the AI systems your business is already shipping — models, pipelines, and the data behind them.
Where this risk comes from
AI adoption inside the enterprise moved faster than security teams could build controls for it. Models are trained on sensitive data, exposed through new APIs, and embedded directly into customer-facing products — often with none of the guardrails applied to traditional software.
Mellivor AI Security gives you visibility into where AI is running in your environment and a consistent way to secure it, without slowing down the teams building it.
What enterprises are up against
- Shadow AI usage across teams with no central visibility
- Sensitive data exposure through model training and prompts
- New attack surface: prompt injection, model theft, data poisoning
- No consistent policy for how AI systems are reviewed before launch
What's actually at stake
A single exposed model or leaked training set can put customer data, intellectual property, and regulatory standing at risk simultaneously — and unlike a typical breach, the damage can be baked into a model's behavior long before anyone notices.
Boards and regulators are starting to ask direct questions about AI governance. Being able to answer them with real visibility, not a slide deck, is quickly becoming a competitive requirement, not a nice-to-have.
The Mellivor approach
- Discovery of AI models, pipelines, and APIs across your environment
- Continuous monitoring for model and data exposure
- Policy guardrails applied consistently across teams
- Integration with Behind24 for AI-specific detection and response
Technology categories that support this solution
Cloud & Infrastructure
Cloud security posture, workload protection, and infrastructure monitoring technologies.
Go deeper
Mellivor's platform is backed by teams who design, deploy, and run it alongside you.