AI & LLM Security

Your AI stack is attack surface. BreachLens tests it like one.

BreachLens inventories the AI agents and MCP servers in your environment and actively red-teams them — for prompt injection, tool poisoning, and unsafe tool access — then scores your AI-security posture with the evidence to back it.

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Active red-team, not a checklistBring your own AI modelRuns on your infrastructure

Security for what you shipped

Nobody's securing the AI you shipped.

Agents and MCP servers ship with tool access, secrets, and network reach — and almost no security review. BreachLens treats them as what they are: attack surface, probed the way an attacker would.

Inventory

Find the AI assets

BreachLens inventories the AI agents and MCP servers in your environment — including the ones surfaced through the identities and connections it already sees.

Red-team

Probe them for real

Active adversarial probes attempt prompt injection, tool poisoning, and unsafe tool access — not a questionnaire, real attempts.

Score

Posture with evidence

The results roll up into an AI-security maturity score and an evidence pack you can hand to a reviewer.

What you get

The AI-security review your stack never got.

MCP server scanning

The new attack surface.

· Probes for prompt injection and tool poisoning.
· Flags excessive tool permissions and unsafe remote access.
· Tests the servers your agents actually connect to.

LLM red-team

Adversarial, not a checklist.

· Active probes that try to break the model's guardrails.
· Findings judged on whether the attack actually worked.
· Real attempts, so a “pass” means something.

AI asset inventory

Know what you're running.

· The AI agents and MCP servers in your environment, in one view.
· Surfaced from the identities and connections BreachLens sees.
· The starting point for governing your AI estate.

Maturity model

A posture you can report.

· An AI-security maturity score across the domains that matter.
· An evidence pack you can export for a reviewer or a board.
· Progress you can track over time.

Straight answers

What a security team asks about AI security.

Is the red-team actually active, or a checklist?

Active. BreachLens makes real adversarial attempts — prompt injection, tool poisoning, unsafe tool access — and judges each finding on whether the attack worked, not on whether a box is ticked. Some probes are model-judged.

What's MCP server scanning?

The Model Context Protocol lets AI agents call tools — and a malicious or misconfigured MCP server is a direct path into your systems. BreachLens probes the MCP servers your agents connect to for injection, poisoning, and over-broad tool permissions.

How does it find our AI assets?

It inventories the agents and MCP servers in your environment, including ones surfaced through the identities and connections it already sees. Fully automatic discovery of an entire AI estate is on the roadmap — today you get the assets BreachLens can see and the ones you connect.

Can we use our own model?

Yes. Bring your own AI model — BreachLens runs against the provider and model you choose, on your infrastructure. Nothing about your AI stack goes to a third party.