Solution
AI security and governance
AI security and governance is the set of controls that show how AI is used in your organisation, apply policy to that use, and protect AI systems from attack. It covers staff using public AI tools, AI applications you build, and autonomous agents that act on your behalf.
Why this matters now
AI adoption usually starts in the business, not in security. Employees paste company data into public tools, teams connect agents to internal systems, and developers add language models to applications. Each of these creates data, access and compliance risk, and most organisations cannot yet say what AI is in use or what it can reach.
What good looks like
- A live inventory of AI tools, models, applications, agents and MCP servers.
- Policies by role and intent that allow approved use and block risky use.
- Protection against prompt injection, jailbreaks and data leakage at runtime.
- Identity and least-privilege access for agents, with short-lived credentials.
- Audit trails and reports that stand up to regulators.
Vendors that deliver this through Evanssion
| Vendor | Role in this solution |
|---|---|
| WitnessAI | Visibility, policy and runtime protection for employees, applications and agents |
| Onyx Security | Control plane for agents and models, with a supervisory Guardian Agent |
| Backflipt | Agent identity, intent and credentials for agent-to-agent and MCP traffic |
| Operlity | AI model inventory, risk assessment and alignment with the EU AI Act, ISO 42001 and NIST AI RMF |
Questions to ask when choosing a solution
- Can it find shadow AI, including agents nobody registered?
- Does it enforce policy in the path of traffic, or only report afterwards?
- Where is data processed and stored, and can it stay in the region?
- How does it handle agents and MCP servers, not only chat tools?
Frequently asked questions
What is shadow AI?
Shadow AI is any AI tool, model or agent used in an organisation without security or IT approval, such as an employee using a public chatbot with company data.
What is prompt injection?
Prompt injection is an attack where crafted input makes an AI model ignore its instructions or reveal data. It is one of the main risks for AI applications and agents.
Who should own AI governance?
It is shared. Security sets controls, compliance maps them to regulation, and the business owns the use cases. A platform that gives all three the same view makes this practical.