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SECURITY HARNESS FOR AUTONOMOUS DEVELOPMENT

Merge Rate

76%

Backlogs Cleared

5,200+

Software Factories
That Correct Themselves

Risk caught at design. Backlogs cleared at machine speed. Every change validated before it merges.

See How it Works

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PROBLEM

Code Is Abundant.
Trust Is Not.

Code stopped being the bottleneck. Trust became one. Every sprint widens the gap.

unresolved findings

100k+

Enterprises can't clear what they already have. Output keeps rising.

time to exploit

hour

The window between discovery and weaponization has collapsed. Manual response can't keep pace.

The Solution

Correct what's already built.
Prevent what's about to be.

Reactive correction. Proactive design. One compounding loop.

Fixes indistinguishable from your own engineers

Pixee VulnOps proves what's actually exploitable and ships changes your developers merge. Foresight catches design flaws before a single line gets written.

Catches flaws at design, before code exists

Turns fix authors into fix reviewers

Eliminates 95% of false positives

Independent of the agent that wrote the code

Get Started

Generic AI

"Use parameterized query here."

const query = "SELECT * FROM users WHERE id = $1";

</>

Pixee Platform

✓Context Aware

"Use your existing SafeQueryBuilder class."

SafeQueryBuilder.build(query)
.withParams(params)
.execute();

76%

Merge Rate

95%

Noise Reduction

Minutes

Resolution Time

Process

How Pixee Secures
Your Software Factory

Map How Your Software Actually Runs

Pixee reads your codebase, security policies, and architecture. It knows what runs, what's reachable, and what's exposed.

Design threat modeling

Deep codebase analysis

Architecture mapping

Execution path tracing

Outcome

Not files. Execution paths.

Prove What Is Actually Exploitable

Most findings are noise. Pixee traces real execution paths to prove exploitability, removing up to 95% of false positives before fixing anything.

Exploitability analysis

False positive elimination

Evidence-based triage

Risk scored in your context

Outcome

Only real risks remain.

Remote Code Execution

Dead Code Path

Hardcoded Credentials

Mock Code

Path Traversal

Context-insensitive taint tracking

CVE-2021-23337

Build tooling only

Unpatched container

Stale asset inventory

Internet exposed asset contains HIGH sev findings

Incorrect risk scoring

Log4Shell CVE-2021-44228

Vulnerable function not called

SQL Injection in pgx Driver

Click to learn more!

Critical

Immediate Action Required

CVE-2024-27304 — SQL Injection in pgx PostgreSQL Driver

Context Identified

Verified Exploitable

Risk Prioritized

Remediation PR Created

SLA breach: 8 critical findings

Misattributed ownership

Unpatched container

Stale asset inventory

Missing CSRF Token

Framework protections ignored

CVE-2021-23337

Build tooling only

Remote Code Execution

Dead Code Path

Path Traversal

Context-insensitive taint tracking

Remote Code Execution

Dead Code Path

Hardcoded Credentials

Mock Code

Generate Fixes Developers Accept

Every change matches your conventions, respects your policy, and passes CI before a PR opens.

Convention-aware fixes

Ready-to-merge PRs

Policy embedded into designs

Team-style code generation

Outcome

Backlogs shrink. Developers just review.

Complexity

@router.post("/api/v1/webhooks/test")async def test_webhook(    req: WebhookTestRequest,    user: User = Depends(get_current_user),    policy: OrgPolicy = Depends(get_org_policy),    http: SafeHttpClient = Depends(),):    parsed = urlparse(str(req.url))    # Fix #1 (SEC-POL-007): enforce HTTPS only    if parsed.scheme != "https":        raise ValidationError("Only HTTPS supported")    # Fix #2 (CONTEXT): honor sec allowlist/kill-switch    if not policy.egress_enabled or parsed.hostname not in policy.allowlisted_domains:        raise ValidationError("Org policy blocks this destination")    resolved_ip = await http.safe_resolve(parsed.hostname)    # Fix #3 (COMPLEX): DNS pinning + private-range check    if ip_address(resolved_ip).is_private orresolved_ip in INFRA_BLOCKLIST:
        logger.warning("SSRF blocked", extra={"user_id": user.id, "host": parsed.hostname})        raise ValidationError("Unable to reach URL")    resp = await http.get(       str(req.url),       resolved_ip=resolved_ip,  # IP pinning preserves Host header for SNI
       timeout=settings.EXTERNAL_CALL_TIMEOUT, # ADR-0041
       follow_redirects=False,# redirect chain could bypass checks
    )    # CONVENTION: stable response contract    return {"status": resp.status_code,"latency_ms": resp.elapsed_ms}

Every Decision Sharpens the Next

Every fix, triage call, and design review shares one context graph. Reactive work sharpens the next design review; design decisions sharpen the next fix. Your context outlives every version of your code.

Your coding conventions

Your written policy

Feedback in plain language

Human-driven reinforcement learning

Outcome

A software factory that corrects itself.

This change refactors SQL statements to be parameterized, rather than built by hand.

Without parameterization, developers must remember to escape string inputs using the rules for that database. It's usually buggy, and sometimes vulnerable.

Statement stmt = connection.createStatement();

ResultSet rs = stmt.executeQuery("SELECT * FROM users WHERE name= '" + user + "'");

PreparedStatement stmt = connection.prepareStatement("SELECT * FROM users WHERE name = ?");

stmt.setString(1, user);

ResultSet rs = stmt.executeQuery();

This change adds HTML sanitization to user-facing output to prevent stored XSS.

Without output encoding, data stored in the database can execute arbitrary scripts in victims' browsers when rendering search results. A textbook stored XSS vector.

const dataString = JSON.stringify(products)

products[i].name = req.__(products[i].name)

import * as sanitizeHtml from 'sanitize-html'

products[i].name = sanitizeHtml(req.__(products[i].name))

products[i].description = sanitizeHtml(req.__(products[i].description))

This change validates file paths to prevent directory traversal attacks.

Without path validation, user-supplied file arguments can escape the working directory to read or write arbitrary files on the system. A common supply-chain attack vector in CLI tools.

for (const file of files) {

// no path validation before fs operations

const resolvedPath = path.resolve(file);

if (!resolvedPath.startsWith(cwd + path.sep))

throw new Error('Invalid file path');

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

Your context graph is built from your data and institutional knowledge.

Every design review, triage, and fix feeds back in.

The platform compounds with every run.

Queryable history

replayable decisions

auditable proof

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" layer.

Raw Context

Code, scanner findings, dependencies, configurations.

The "what exists" layer.

Kinetic Context

Exploit verification, reachability analysis, cross-scanner correlation.

The "what is exploitable" layer.

Human Feedback Context

Merge/reject patterns, organizational preferences, precedents.

The "what you trust" layer.

"Nobody writes software line by line anymore. It's produced. The question is whether you can trust what came off the line: correct what shipped, catch what's coming, get smarter every run."

Surag Patel, Pixee

Use Cases