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Nullify continuously allocates AI capacity toward the highest-impact product security work, maximizing outcomes from every engineer hour and every token spent.
See how it worksTrusted by security teams shipping at scale
The harness understands how your application works, so it finds the logic flaws that pattern scanners miss.
Every finding is checked against your risk model and proven with a live exploit, so your team only sees what is real.
The harness writes a merge-ready fix, sends it to the right owner and follows up until it is merged.
A campaign owns the work until it is done, at scale. It reads ownership from Compass to find who, capacity from Jira to know when, and escalates in Slack when work stalls. It assigns, follows up and closes on merge with no human chasing.
Pattern scanners match signatures and cannot reason about intent. Nullify understands how your application works, so it catches the vulnerabilities that only come from logic: broken access control, privilege escalation, insecure workflows, IDOR and race conditions.
Nullify checks every finding against your risk model in Vault and removes the noise, so the queue your team sees is small, real and ranked.
80% of low-severity noise auto-suppressed before a human looks.
Nullify works out whether a finding can be exploited using runtime reachability, network exposure and cloud context, then proves it by stepping through the attack live, reasoning between each call. Every triage decision is backed by code.
Proof you can reproduce every time.
When a fix PR fails a check, Nullify looks into the failure, reads the build logs and pushes follow-up commits until every check passes and the pull request is ready to merge. No developer has to babysit it.
Developers refactor a Nullify fix only ~1 in 10 times.
Every fix arrives as a clean pull request with the change explained inline. It is assigned using code ownership and current review capacity, so it reaches the engineer who can merge it fastest.
Most work closes on its own. When a fix needs a judgment call, such as accepting a risk, a breaking change or an SLA about to slip, Nullify escalates to the right person in Slack with full context and a one-click decision, then tracks it until it is resolved.
patches merged in a single month.
Fixed critical flaws that could have exposed patient health data.
Patches that pass the build and are ready for customer review across its live-streaming platform.
“The future is now — we're here.”
“It makes sense to automate this stuff with agents rather than hiring people.”
Nullify takes every security task from first alert to merged fix. It does the work of your scanners, your dashboards and the people needed to run them.
An always-on harness of AI agents that finds, checks, fixes and follows up on every issue in one place.One System
