NewIntroducing Self-Healing Fixes — remediation PRs that refactor themselves to merge-ready.Read the release →
Welcome to the Post-Human Product Security Program.

A Higher Order of Product Security

Nullify continuously allocates AI capacity toward the highest-impact product security work, maximizing outcomes from every engineer hour and every token spent.

A figure before a vast faceted maze beneath a luminous sky

Trusted by security teams shipping at scale

DAZNFox SportsSmithRxnibMagentusLatentScrut AutomationHireup
Infinite Attention

Replace the Toolchain. Own the Value Chain.

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.

The stack you operate today
SASTSCADASTSecret ScanningContainer ScanningIaC ScanningBug BountyASPMManual Triage
NullifyAn always-on system of agents — detection, validation, remediation and follow-through driven to closure on a single pane.One System
Find to Fix · the last mile

Every finding routed to its owner, refactored until merge-ready, and escalated until merged — no human in the critical path.

Origin
Triage
Validate
Assign
Refactor
Merged
Latent Health
Michael Hensley
Head of Security
Latent Health

“The future is now — we're here.”

“It makes sense to automate this stuff with agents rather than hiring people.”

The Harness

Return on Every Token Deployed

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.

Capacity routed to exploitable, high-blast-radius work first
Every token accountable, every decision auditable
Engineer hours spent on judgment, not triage queues
Priced on work done, not seats

You pay for the work Nullify performs. We scope your program, estimate the volume, and price against outcomes — not headcount or license tiers.

Get an Estimate
Capacity ledger · trailing 30dLive
3.9×
higher remediation yield
78%
of capacity routed to validated risk
Where capacity is deployed
Exploitable · critical58%
Reachable · medium35%
Noise · auto-suppressed7%
Spend tokens where risk can actually move.
Return on Execution

Close the Patch Gap. Reclaim Labor.

86%
merge-ready rate
91
FTE-years saved
10,781
vulns fixed
Find to Fix

One Loop, From Signal to Merged Fix

A real vulnerability enters on the left and leaves merged on the right — detected, proven, scored against your business, fixed and closed without a human in the critical path.

Finding auth-bypass · POST /api/session reaches customer PHI
Origin
Validate
Triage
Fix
Refine
Merged
Validate

Proves it's real

Reachability, exposure and a reproducible exploit — every call backed by code.

Triage

Scores it to you

Vault grounds impact in your assets, data sensitivity and threat model.

Fix

Writes the patch

A merge-ready PR, routed to the right owner and refined until CI is green.

Close

Closes the loop

Confirms the merge, burns down the backlog and remembers the decision.

Campaigns

Routed to the Right Owner. Driven Until 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.

WhoCompass — the codeowner of every affected path
WhenJira — sprint capacity, so work lands when teams can take it
WhySlack — escalation the moment an SLA is at risk
1,240+
fixes driven to merge last quarter
92%
closed with no human chasing
Campaign · Critical SQLi Sweep
312 findings · 47 services
CRIT payments-api · SQL Injection · /v2/charge
Who · Compass@priya-k owns
When · Jira3 pts free
Why · SlackSLA 6h
PK Assigned to Priya K · PR #1284 raised, merge-ready
Driven to merge289 of 312
92% complete+18 merged today
Knowledge Graph one unified ontology
Repo
Context
Cloud
Context
aws
Business
Context
Team
Context
Vault · The Long Memory

A Constant Awareness Underpins Everything

Onboarding Nullify is like onboarding a new member of your security team. Vault ingests your code, cloud, tickets, messaging and the docs no one reads — building one unified ontology of your organization.

Every impact score is grounded in your world — your workloads, your data sensitivity, the threat actors you actually face — not a generic CVSS number.

Business Logic Flaws

The Flaws No Scanner Can See

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.

Reasons across endpoints, roles and data ownership
No rule to write, no signature to match
Every flaw proven with a reproducible exploit
#1
Broken access control is the most common critical risk in modern apps — and invisible to traditional scanners.
Business Logic · checkout-service
Critical
Broken Access Control · IDOR
A user can read another tenant's orders
01Authenticated as user A
02GET /api/orders/8841 — owned by user B
03200 OK — returns B's data. No ownership check on the handler.
SAST / DAST
No finding
Nullify
Critical IDOR
</found by reasoning about ownership, not a signature>
Triage

False Positives, Filtered Before They Reach You

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.

3,800+
hours/yr saved triaging false positives

80% of low-severity noise auto-suppressed before a human looks.

Triage queue
45,455 in
High4,545 kept · ranked
Medium4,545 kept · ranked
Low · noise36,364 auto-suppressed
</only the real queue reaches a human>
Validated Exploits

Proof, Not Probability

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.

100+
findings validated for exploitability

A reproducible proof, never a severity guess.

Assessment Steps
Live
Testing the username param for injection…
GET /user?username=admin' AND '1'='1
200 OK { id:1, email:"admin@…" } · '1'='2 → empty ✓
Differential confirms injection. Escalating to a UNION to read the table.
GET /user?username=' UNION SELECT id,email FROM users--
200 OK [ id:1…, id:2…, id:3… ] · 12,841 rows extracted
Exploit confirmed · reproducible proof attached
Self-Healing Fixes

Fixes That Refactor Themselves to Merge-Ready

When a remediation PR meets friction, Nullify investigates the failure, reads the build logs and pushes follow-up commits — refactoring until every check passes and the pull request is merge-ready. No developer babysitting required.

89%
merge-ready rate across our customers

Developers refactor a Nullify fix only ~1 in 10 times.

Pull request #47 Open
nullify added 2 commits
fix(deps): upgrade js… Verified b4dc545
fix: add error handli… Verified 821e8aa
nullify replied to Priya

First upgrade broke a sync caller — jwt.verify now throws. Added error handling; pipeline green.

Resolved ✓
Reviewer Routing

Routed to the Right Reviewer, Every Time

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.

Assigned by ownership, balanced by review load
The reasoning travels with the suggested change
A click to accept — or reply and Nullify revises
middleware/verify.js Conversation · 1
nullify bot suggested a change

The token verification can throw on a malformed JWT and crash the request. Wrapping it returns a clean 401 instead.

Suggested change
- const p = jwt.verify(token, key)
+ let p; try { p = jwt.verify(token, key) }
+ catch (e) { return res.status(401).end() }
Commit suggestion
PK Assigned @priya-k · owns this path
Resolve conversation
Escalations

Surfaces the Call Only a Human Should Make

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.

Escalates only what genuinely needs a human
Full context attached — finding, blast radius, proposed fix
One click to approve, adjust scope, or accept the risk
Thread# security-escalations Needs decision
Nullify app 9:14 AM

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.

Critical · 9.1 Reaches customer data Blast radius · 3 services
ML Routed to @marcus-l · owns billing-svc
SLA · 4h left
Approve & merge Adjust scope Accept risk
ML Marcus L 9:21 AM

Approved & merged — thanks Nullify, the repro and the cross-service diff made this a 30-second call.

Transmissions

Dispatches from a security program that runs itself

View all posts →
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Product

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Onboard Nullify today and reclaim the hours spent finding, triaging, assigning and fixing real security bugs.