RedSwarm

AI found it. Can you prove it?

RedSwarm uses AI to find exploitable issues in your web applications and APIs. A separate, independent check repeats the exploit. You get findings your team can defend, not a pile of maybes.

SOTA CVE-Bench coverage: 33/40 real-world CVEs, 27 zero-day.

Web applications and APIs · Two-week POC · Scoped to your environment

More findings. Less proof.

AI has made vulnerability discovery cheap. Proof is still expensive. Every platform now claims it exploits what it finds. The buyer is still asking: is this actually exploitable in my application, and can I defend that answer?

AI can write a convincing exploit story, whether or not it works.
More tools mean more alerts. Your team still has to decide what is real.
A point-in-time pentest describes the application you shipped that month.
Every unproven finding costs time, budget, and credibility.

What RedSwarm tests

Web applications and APIs, tested by active exploitation. A pattern match alone is never reported as a finding.

Attack surface discovery
Endpoints are mapped before any attack runs, including undocumented and legacy routes.
Vulnerability classes
Tested with real requests against the target: injection, broken authentication, broken access control, SSRF, XXE, XSS, insecure deserialization, security misconfiguration, sensitive data exposure, and cryptographic failures.
Blind vulnerabilities
Out-of-band callbacks, correlated to the scan session, confirm blind SSRF, blind XXE, and Log4Shell-class issues where the application shows no visible output.
Independent verification
The AI proposes an exploit. A separate check repeats it with its own controls. Only what the check can reproduce is reported as a finding.

How it runs

Five steps, from signed scope to a proven finding.

01
Authorize
Scope is signed off. Blast-radius limits and the kill switch are tested before any traffic is sent.
02
Explore
The AI maps the in-scope surface: endpoints, parameters, and authentication flows.
03
Propose
The AI proposes an exploit, the exact request it believes works.
04
Verify
A separate, independent check repeats the exploit with its own controls. Only what it can reproduce becomes a finding.
05
Deliver
Each proven finding becomes a ticket with the evidence your engineers need to reproduce and fix it. Jira, GitHub, and GitLab integrations; CVSS, CWE, and OWASP mapping.

RedSwarm tests the application. The assessment tests the agent.

RedSwarm
AI application pentesting for web applications and APIs, with an independent check and reproducible findings.
AI Agent Security Assessment
Adversarial testing of an AI agent: its tools, its authority, and the action paths attacker-controlled input can open.

They are independent. An agent with sound authority boundaries still runs on APIs that can be broken, and the reverse.

What you receive

Proven findings
The triggering request and the confirming evidence, reproducible by your engineers.
Coverage and limitations
What was tested, what was not, and why a run paused. A no-finding result is not sold as a clean bill of health.
Action log
Every request RedSwarm sent, reviewable by your security team or an external reviewer.
Framework cross-references
Findings include relevant security-framework and regulatory cross-references where applicable (for example SOC 2, ISO 27001, HIPAA, GDPR), for use in your own compliance work. They do not establish compliance on their own.

RedSwarm deploys as Docker inside your network; air-gap deployment is available. Which models run, and where, is agreed as part of the scope. We recommend starting in staging.

Why RedSwarm

Proof, not pattern matches
Nothing is reported without evidence. The AI proposes; an independent check repeats it. Engineers receive the request that reproduces the issue.
Safe by design
Every action is scoped, logged, and stoppable. Scope is signed off and the kill switch is tested before any traffic is sent.
SOTA CVE-Bench coverage
33 of 40 real-world CVEs, including 27 zero-day, on CVE-Bench v2.2.0. That is state-of-the-art coverage on the benchmark the field reports on.

Questions we get asked

Is this a pentest?

RedSwarm performs AI-assisted, active exploitation-style testing and delivers proven findings as engineering-ready evidence. It complements, but does not replace, human-led testing where manual review, compliance, or specialized expertise is required.

How do you know it works?

On CVE-Bench v2.2.0, RedSwarm solved 33 of 40 real-world CVEs, including 27 zero-day. That is state-of-the-art coverage on the benchmark the field reports on. It is proof of coverage, not a promise about your app; the POC is how we prove it on your app.

Is it safe to run against production?

Scope, blast-radius limits, and a kill switch are agreed and tested before any traffic is sent, and every request is logged. We recommend staging for the first run.

Does it test AI agents?

No. Security testing of AI agents is handled by the Themis AI Agent Security Assessment. RedSwarm focuses on the applications and APIs around them.

What happens if it finds nothing?

You get a coverage report: what was reached, what was tested, and what was not. We do not call that clean.

How is it priced?

Pricing is scoped to your environment: the number of applications and how often they change. We do not publish a tier price.

See what is exploitable in your staging environment.

A proof of concept runs against a scope you sign off, and ends with proven findings your engineers can reproduce.