Nullify continuously allocates AI capacity toward the highest-impact product security work, maximizing outcomes from every engineer hour and every token spent.
A perfectly triaged backlog still isn't a fixed one. The work doesn't disappear — it moves to the last mile, and stalls.
Finding the right owner. Back-and-forth over the fix. Negotiating priority against the next release. Chasing approval while the SLA slips. That isn't security work — it's coordination no team has the headcount for. Nullify's agents drive that last mile to closure, because a vulnerability that isn't fixed is still exploitable.
</discovered></patched>Nullify stands in for the scanners, the dashboards and the people that operate them — detection through merge, on one pane.
Reads how your app actually works — surfacing logic flaws no signature can match.
Generates a reproducible proof, so the triage queue disappears.
Vault scores impact against your assets, data and threat model.
Suppresses the noise before it ever reaches a human.
One system stands in for the scanners — and the people who run them.
Opens a PR with the fix written and CI already green.
Net reduction as fixes are driven to merge — faster than work comes in.
Capital deployed into AI only pays off if it lands on the right work. The Harness continuously routes human and AI capacity to the highest-impact findings — so every token, and every engineer hour, compounds into outcomes instead of noise.
You pay for the security work Nullify actually does — nothing more.
Nullify is an autonomous system of agents that drives the whole value chain of product-security tasks to closure — standing in for the scanners, the dashboards and the people required to operate them.
Engineers outnumber security 100 to 1, and 20–40% of a security engineer's week is automatable busywork. Nullify absorbs it — so your team spends its hours on the work only humans can do.
Discovery is the easy part. Nullify owns the last mile — routing each fix to the right owner, refactoring it until it's merge-ready, and escalating until it's merged. No human in the critical path.
Vault grounds impact in your assets, data sensitivity and threat model — so only what matters moves on.
Reachability, exposure and a reproducible exploit — every call backed by code, not a severity guess.
Finds the right owner, opens the PR, and refactors from CI logs until it's merge-ready.
Follows up, escalates in Slack when an SLA slips, and drives the fix all the way to merged.
A campaign owns the work to completion — at scale. It reads ownership from Compass to find who, capacity from Jira to know when, and escalates in Slack when it stalls — assigning, following up and closing on merge with no human chasing.
Onboarding Nullify is like onboarding a new member of your security team. Connect your code, cloud, ticketing, messaging, bug bounty and the docs no one ever reads — and Vault builds a unified ontology of your organization: the long-term memory behind every decision, from find to fix.
Code, cloud, ticketing, messaging, bug bounty and unstructured docs.
A unified model across workloads, teams, policies & systems — kept current.
Impact reflects your assets, data sensitivity and the threat actors you face.
Scoring impact is as hard as proving exploitability. Vault grounds it in your world — workload classifications, data sensitivity and the threat actors you actually face — so a finding's score reflects its real risk to your business, not a generic CVSS number.
This SQL injection reaches the users database on a production EC2 instance housing customer PHI. Per your Vulnerability Management Policy, this triggers HIPAA + PCI obligations — making this extremely high business risk, not just a high CVSS.
Pattern scanners match signatures — they can't reason about intent. Because Nullify understands how your application actually works, it catches the vulnerabilities that only emerge from logic: broken access control, privilege escalation, insecure workflows, IDOR and race conditions.
Nullify classifies every finding against your risk model in Vault and suppresses the noise — so the queue your team actually sees is small, real, and ranked.
80% of low-severity noise auto-suppressed before a human looks.

Nullify reasons through exploitability — runtime reachability, network exposure and cloud context — then proves it by stepping through the attack live, thinking between each call. Every triage call is backed by code.
A reproducible proof, never a severity guess.
When a remediation PR meets friction, Nullify investigates the failure, reads the build logs and pushes follow-up commits — refactoring until the pull request is merge-ready. No developer babysitting required.
Developers refactor a Nullify fix only ~1 in 10 times.
Read the build logs and traced the break to a sync caller. Refactored to handle the throw and re-ran the pipeline.
Every fix lands as a clean pull request with the change explained inline — assigned from code-ownership context and current review capacity, so it reaches the one engineer who can merge it fastest.
The token verification can throw on a malformed JWT and crash the request. Wrapping it returns a clean 401 instead.
Most work closes on its own. When a fix needs a judgment call — a risk acceptance, a breaking change, or an SLA about to slip — Nullify escalates to the right person in Slack with the full context and a one-click decision, then tracks it to resolution.
Merge-ready fix for SQLi in reports/export.go — but it changes a shared query helper used by 3 services. Needs owner sign-off before merge.
Approved & merged — thanks Nullify, the repro and the cross-service diff made this a 30-second call.
Onboard Nullify today and reclaim the hours spent finding, triaging, assigning and fixing real security bugs.