AI-accelerated development, secured: the MoneyGram story

The security harness: design through merge

Clear the backlog.
Prevent the next one.

Pixee finds and fixes the attack paths in your backlog, works inside your coding agents, and catches the next risk at design time.

Get a DEMO

Each pull request carries the triage verdict and the analysis behind the fix, so your reviewers can check both before they merge.

One platform, design through merge

Pixee turns your design docs into a threat model, triages your scanner findings against your code, and opens a fix for the ones that can be exploited.

End-to-end resolution rate

94%

Backlogs Cleared

5,200+

Design-stage security

A living threat model for every app

Foresight works from the spec, before any code exists, and turns it into a threat model that stays current as the code changes. Know any app's real exposure without a week of reading its code.

System Overview Exposure Attack Surface

Live · regenerates on commit

System overview · payments service

Client → API Gateway → Auth Service → Payments DB

! Unauthenticated path to PII.API Gateway can reach Payments DB, skipping the Auth Service.

Extracted security guarantees

✓Every payment route requires an authenticated sessionholds · verified in code

✓PII encrypted at restholds · verified in code

!Admin export assumes gateway authdrift · code diverged from the design

Generated by Pixee — regenerated as the code changes.

How Foresight keeps it living

Design Review

Reads the design before any code exists and flags the decisions that create risk — while they're still cheap to change.

Guarantee Extraction

Turns the security guarantees the design commits to into checkable requirements — so the model knows what the app must enforce.

Drift Detection

Watches for code diverging from those guarantees and flags the gap — the model stays true instead of going stale.

See Foresight →

Exploit Chains

Find the attack paths hiding in your backlog

Severity scores send your team after the wrong findings. Exploit Chains shows which ones combine into an attack that works in your code, so you fix those first.

Threat ModelExploit Chains

MediumPath traversal✓ checked in code

MediumJWT signing key on disk✓ checked in code

OutcomeAccount takeover via a forged admin token✓ each step feasible

How a chain is built

Read the path, not a score

Every chain comes with an attack-flow diagram and a written narrative of each step.

Every step checked in code

Starting from your threat model, Pixee reads the code at each hop to confirm the step is feasible, not just plausible.

Crosses SAST and SCA

A vulnerable library plus an unsafe call in your own code can add up to remote code execution. Exploit Chains reads them as one path.

See Exploit Chains run in a demo →

Triage & Fix

Capabilities & Coverage
SAST, SCA, DAST and secrets

Bring every finding into one queue. Pixee shows you which ones can actually be exploited, and fixes those.

Intelligent Triage Engine

Most findings do not need remediation. Pixee proves which ones do. Reachability analysis traces code execution paths to separate exploitable vulnerabilities from theoretical ones.

95%+

Reduction in False Positives

WHY PIXEE

The Pixee Context Graph

Pixee maps your codebase patterns and architectural constraints into one graph. It holds your team's conventions, policies and preferences and applies them to every fix.

Automated Fix Generation

Fixes arrive as merge-ready pull requests, each checked before it opens and reviewed like any other change.

76%

Merge Rate

Enterprise Scale

Your own dedicated instance, hosted by Pixee or by you. SOC 2 Type II and ISO 27001 compliant.

Air-Gap Ready

Covers every scanner

Pixee ingests findings from your security tools, normalizes the data, and cuts the noise.

Scanner Agnostic

SAST Coverage

Ingests findings from SonarQube, CodeQL, Semgrep, and every major SAST tool. Surfaces what's actually exploitable.

SQL Injection

XSS Prevention

SCA Coverage

Software composition analysis findings and open source dependency vulnerabilities. Fixes include the code changes an upgrade needs.

CVE Remediation

Dependency Updates

EXPLOITABILITY ANALYSIS

DAST Coverage

Ingests your DAST results, finds the code behind each finding, checks whether it can be exploited, and opens the fix as a pull request.

Most secrets a scanner flags aren't secrets. Pixee reads the code to tell the real ones from the noise.

Hardcoded keys

API Tokens

Triage

Integrations

Works with your stack

Pixee connects with the tools you already use. From code repos to scanners and CI/CD, we orchestrate your entire remediation workflow.

SAST, SCA

SAST, SCA, SCM

SCA

SAST

SAST, SCA

SAST

SCA

SAST, SCA

Pixee CLI and agent plugin

Put a security expert inside every coding agent

Your agents run their code through Pixee's security harness, which triages findings and fixes the real ones, so you ship less vulnerable code that follows your security standards.

agent session

# Pixee already triaged this finding from your SAST scanner
# PR check failed: SQL injection flagged in the orders service
agent › pixee finding list --scan 7f3a --json
{
  "suggested_status": "true_positive",
  "reasoning": "request parameter reaches a raw SQL query",
  "fix": { "type": "completed-fix", "confidence": "high" }
}
agent › applying Pixee's patch, re-running the test suite
✓ tests passed · PR updated, waiting for review

What changes, and what doesn't

A verdict, not a guess

True positive, false positive or inconclusive, with the reasoning attached.

Your agent does the last mile

It applies Pixee's patch, reruns your checks and updates the pull request. A person still reviews and merges.

Security sees every answer

Whichever agent asks, the verdict and the fix show up in Pixee, next to everything else your team tracks.

Read how it works →

For Security Teams

A verdict for every finding, and a fix for the real ones.

For Developers

Review a fix instead of researching a ticket.

For CISOs

A 94% end-to-end resolution rate, with an audit trail for every finding.

Context engineering

From Systems of Detection
To Systems of Decision

Your Existing Stack

The "What Exists" Layer

SAST

[SQL Injection in auth.ts] [XSS in profile.tsx] [Hardcoded Secret] [Insecure Randomness] [SQL Injection in auth.ts] [XSS in profile.tsx] [Hardcoded Secret] [Insecure Randomness] [SQL Injection in auth.ts] [XSS in profile.tsx] [Hardcoded Secret] [Insecure Randomness]

SCA

[Log4j Critical CVE-2021-44228] [Lodash Prototype Pollution] [Outdated React Version] [Express ReDoS] [Log4j Critical CVE-2021-44228] [Lodash Prototype Pollution] [Outdated React Version] [Express ReDoS] [Log4j Critical CVE-2021-44228] [Lodash Prototype Pollution] [Outdated React Version] [Express ReDoS]

ASPM

[Publicly Accessible S3 Bucket] [Shadow API Endpoint Detected] [PII Data Exposure] [Unencrypted Traffic] [Publicly Accessible S3 Bucket] [Shadow API Endpoint Detected] [PII Data Exposure] [Unencrypted Traffic] [Publicly Accessible S3 Bucket] [Shadow API Endpoint Detected] [PII Data Exposure] [Unencrypted Traffic]

JIRA

[SEC-1029: Fix Critical Vuln] [SEC-1030: Dependency Review] [SEC-1031: Patch Management] [SEC-1032: Audit] [SEC-1029: Fix Critical Vuln] [SEC-1030: Dependency Review] [SEC-1031: Patch Management] [SEC-1032: Audit] [SEC-1029: Fix Critical Vuln] [SEC-1030: Dependency Review] [SEC-1031: Patch Management] [SEC-1032: Audit]

Pixee's Context Graph

The "Why It Happened" Layer

Every security decision leaves a trace.

Not just a snapshot. A history.

The 4 Layers of Context

How Pixee builds your organization's institutional memory

Process Context

Security policies, architectural patterns, governance rules.

The "what should happen"

Raw Context

Code, scanner findings, dependencies, configurations.

The "what exists"

Kinetic Context

Exploitability analysis, security controls in your code, and correlation across scanners.

The "what is exploitable"

Human Feedback Context

Merge/reject patterns, organizational preferences, precedents.

The "what you trust"

"We used to audit the code. Now the thing writing the code also writes the tests that check it. So what has to be auditable is the reasoning: what the system knew, what it decided, and why. That's the layer we built."

Surag Patel, Pixee

Deployment Models

Choose your environment

Whether you need speed or sovereignty, Pixee runs where your code lives.

Pixee-hosted

For Speed & Simplicity

The fastest way to start. Pixee runs your instance for you.

Instant onboarding via GitHub App

SOC2 Type II Compliant infrastructure

Automatic engine updates

Schedule Your Demo

Enterprise Preferred

Self-Hosted

For Control & Sovereignty

Complete data control. Run Pixee inside your VPC or air-gapped environment. Your code never leaves your perimeter.

Zero data egress required

Custom model finetuning on your code

Meet stringent enterprise security requirements

Schedule Your Demo

Your backlog's been growing for years.

Let's fix that this month

Schedule your demo

Do Not Sell or Share My Personal Information

Clear the backlog.Prevent the next one.

One platform, design through merge

A living threat model for every app

Design Review

Guarantee Extraction

Drift Detection

Find the attack paths hiding in your backlog

Read the path, not a score

Every step checked in code

Crosses SAST and SCA

Capabilities & CoverageSAST, SCA, DAST and secrets

Works with your stack

Put a security expert inside every coding agent

A verdict, not a guess

Your agent does the last mile

Security sees every answer

For Security Teams

For Developers

For CISOs

From Systems of DetectionTo Systems of Decision

Your Existing Stack

The 4 Layers of Context

Process Context

Raw Context

Kinetic Context

Human Feedback Context

Choose your environment

Clear the backlog.
Prevent the next one.

Capabilities & Coverage
SAST, SCA, DAST and secrets

From Systems of Detection
To Systems of Decision