A lone figure before a vast faceted maze beneath a guiding star
The Autonomous Product Security Program Built for Execution

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.

Trusted by security teams shipping at scale
DAZNFox SportsSmithRxnibMagentus
The Patch Gap
01Security work is growing faster than security teams.
02AI made discovery infinite — it didn't fix anything.
03Reasoning is cheap. Execution is expensive.

Discovery is infinite. Fixes are not.

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>
One System

The whole product security program.

Nullify stands in for the scanners, the dashboards and the people that operate them — detection through merge, on one pane.

Reasoning

Reasons like an engineer

Reads how your app actually works — surfacing logic flaws no signature can match.

auth-service
01role=admin reachable anonymously
02Exploitable · priv-esc
Validation

Proves every exploit

Generates a reproducible proof, so the triage queue disappears.

POST /api/session → role=admin signature: unverified
✓ reachable✓ exposed✓ PII
Context · Vault

Grounded in your org

Vault scores impact against your assets, data and threat model.

Triage

Filters the false positives

Suppresses the noise before it ever reaches a human.

1,420raw signals
127real issues
8worth fixing
Consolidation

Retires the toolchain

One system stands in for the scanners — and the people who run them.

SAST SCA Secret Scanning DAST Bug Bounty Container Scanning
One system
Remediation

Ships merge-ready fixes

Opens a PR with the fix written and CI already green.

- jwt.verify(token) + jwt.verify(token, key)
CI green · merge-ready
Scale

The backlog, going down

Net reduction as fixes are driven to merge — faster than work comes in.

1,996 → 565
open vulnerabilities, one quarter
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
How Nullify is priced Work, not seats

You pay for the security work Nullify actually does — nothing more.

01Detection & validationmetered by work done
02Triage & prioritisationmetered by work done
03Remediation & follow-throughmetered by work done
We scope the work your program needs with you, and build an estimate around it — so cost tracks the outcomes you get.
</priced on work done, not seats>
Consolidation

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
SAST SCA DAST Secret Scanning Container Scanning IaC Scanning Bug Bounty ASPM Manual Triage
Nullify An always-on system of agents — detection, validation, remediation and follow-through driven to closure on a single pane. One System
Return on Investment

The ROI Is Not Subtle

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.

Hours reclaimed

48k+
hours of manual work saved

Auto-resolved

450+
vulnerabilities fixed without a human

Merge-ready

~90%
of fixes land green on first review

Always on

24/7
coverage across the attack surface
Find to Fix

One Loop, From Signal to Merged Fix

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.

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

Scores it to you

Vault grounds impact in your assets, data sensitivity and threat model — so only what matters moves on.

Validate

Proves it's real

Reachability, exposure and a reproducible exploit — every call backed by code, not a severity guess.

Assign & Refactor

Routes & self-heals

Finds the right owner, opens the PR, and refactors from CI logs until it's merge-ready.

Escalate & Close

Chases to merged

Follows up, escalates in Slack when an SLA slips, and drives the fix all the way to merged.

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
CRITpayments-api· SQL Injection · /v2/charge
Who · Compass@priya-k owns
When · Jira3 pts free
Why · SlackSLA 6h
PKAssigned to Priya K · PR #1284 raised, merge-ready
Driven to merge289 of 312
92% complete+18 merged today
Vault

Where Your Org's Tacit Knowledge Becomes Expert Reasoning

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.

01 · Connect

Onboard the org

Code, cloud, ticketing, messaging, bug bounty and unstructured docs.

aws +9
02 · Vault

Build the ontology

A unified model across workloads, teams, policies & systems — kept current.

Knowledge Graph Org Context Repo Context API Inventory
03 · Localise

Score to your risk

Impact reflects your assets, data sensitivity and the threat actors you face.

9.4
Extremely High
business risk — not a generic CVSS
Localised Impact

The Same Bug Is Never the Same Risk

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.

Workload classifications Data sensitivity Known threat actors Asset criticality
Memory Vault · Impact ConclusionExtremely High

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.

Sourced from Vault: Vulnerability Management Policy SLA Policy
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 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.

PR #1284 · fix/auth-bypass Self-healing
×CI failed — jwt.verify throws on a malformed token after the upgrade
nullifybotpushed a follow-up commit

Read the build logs and traced the break to a sync caller. Refactored to handle the throw and re-ran the pipeline.

middleware/verify.js+3 −1
- const p = jwt.verify(token, key)
+ let p; try { p = jwt.verify(token, key) }
+ catch (e) { return res.status(401).end() }
Commit pushedb4dc545
All checks passingMerge-ready
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
nullifybotsuggested 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
PKAssigned @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
Nullify Security
Thread# security-escalations Needs decision
Nullifyapp9:14 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 · 9.1Reaches customer dataBlast radius · 3 services
MLRouted to @marcus-l · owns billing-svc
SLA · 4h left
Approve & mergeAdjust scopeAccept risk
MLMarcus L9:21 AM

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

</humans optional>

Step into the Higher Ground of Product Security

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

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