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Prove what you've tested

Agents track a security question for every part of your surface and re-answer it on every assessment. Coverage becomes something you can show an auditor.

MindFort Coverage view showing security checks for a target, each with a passing status and the date it was last re-tested.
Trusted by teams at
Origin
Fortune 500
Birth Model
Bluejay

How it works

A findings list tells you what broke. Coverage tells you what you checked.

Agents write the hypotheses

For each target, agents lay out the security questions worth answering: can this boundary be crossed, can this input reach that query, can this role read another tenant's data.

Each one gets an answer

Every assessment tests the open questions and marks them certified or failed.

Recertify with every run

Agents re-answer every question on each run and add new ones as your infrastructure changes, carrying prior results forward so each pass covers more in less time.

Security that gets better the longer it runs

MindFort agents don't start from scratch every time. They accumulate knowledge about how your organization works, your tech stack, deployment cadence, configuration patterns, and defensive posture. Every cycle produces better results than the last.

Environment-aware testing

Agents map how your teams build, deploy, and configure systems, tailoring their testing and remediation to your specific stack and conventions.

Continuous context building

Every operation deepens an agent’s understanding of your environment. Past findings, infrastructure changes, and deployment patterns all inform future runs.

Adaptive attack strategies

Agents remember what worked and what didn’t. They evolve their approach based on your specific defenses, getting sharper with every cycle.

Efficient at scale

Self-learning means agents spend less time re-discovering what they already know, more targeted testing, faster remediation, better coverage across your entire stack.

Environment-aware testing configuration optimized for mobile

Agent First

MCP native by default, persistent memory across runs, and a control surface designed for steering agents instead of configuring scanners.

MCP native by default

Agents discover and call tools through the Model Context Protocol, so your scanners, code hosts, ticketing, and cloud APIs plug in without glue code. Add a new MCP server and agents start using it on the next run.

Built to run continuously

Trigger on every CI/CD push, on a schedule, or always on. Agents probe, adapt, and remember what worked across operations instead of starting from scratch every time.

Answer the question your auditor actually asks.