AI agents that reason across your code, infrastructure & runtime to prove what is exploitable and fix it
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Trusted by Startups to Fortune 100
[CUSTOMER STORIES]
Security from codebase
to attack surface
[THE FULL SECURITY LIFECYCLE]
Security from codebase to attack surface
500+ attack agents. Every finding reproduced. Runs on every deploy.
CONTEXT
THREAT MODEL
ATTACK
PROOF
Source, IaC, dependencies, secrets, endpoints, cloud config, commit history — read the way an attacker would, resolved into one context graph.
The graph shows where the application breaks: auth boundaries, trust assumptions, data flows, paths from untrusted input to something worth reaching. Ranked before anything runs.
500+ agents run those paths against the running application, chaining recon, injection, access control, and business logic the way a real attacker does.
Nothing reaches you unless it was exploited — with the request, the response that proved it, and steps to reproduce. Review, not investigation.
[OFFENSIVE]
See what
an attacker sees.
Agents chain findings into working exploit paths across your live attack surface, so severity scores stop being the thing you argue about.
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[DEFENSIVE]
Caught before merge,
not after the incident.
Code, dependencies, and cloud config checked in the PR, ranked by real exposure rather than raw CVSS.
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[DEFENSIVE]
Instead of adding another UI to check, CodeAnt integrates with the tools you already use.
[SECURE & COMPLIANT]
Security first design
built for enterprises
Independently audited, deployable in your own environment, and built so your code never trains a model or leaves your boundary.
SOC 2 Type II
Audited annually for security, availability, and confidentiality. Report under NDA.
Gartner Cool Vendor 2026
Recognized by Gartner in application security for autonomous, verified testing.
HIPAA Compliant
Safeguards and BAAs in place for teams handling protected health information.
[GET STARTED]
Find out what's already
exploitable in your codebase.
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