AI Broke
Security
AI accelerated development. Security stayed manual. Every sprint widens the gap.
Enterprises can't clear what they already have. AI generates more.
The window between discovery and weaponization has collapsed. Manual response can't keep pace.
Fix the vulnerabilities you have.
Prevent the ones still being generated.
Reactive remediation. Proactive design review. One compounding loop.
Resolve vulnerabilities the way your team would
Pixee VulnOps cuts scanner noise down to real, exploitable risk and ships fixes your developers merge. Foresight catches risk in designs before code is generated.
SafeQueryBuilder.build(query)
.withParams(params)
.execute();How Pixee Becomes Your
Autonomous Product Security Engineer
Understand Your Real Attack Surface
Pixee reads your codebase, security policies, and architecture. It knows what runs, what's reachable, and what's exposed.
Not files. Execution paths.

Identify What Is Actually Vulnerable
Most findings are noise. Pixee traces real execution paths to prove exploitability — removing up to 98% of false positives before fixing anything.
100% filtered. Only real risks remain.
















Generate Fixes Developers Accept
Every remediation matches your conventions, respects your security rules, and passes CI before opening a PR.
Backlogs disappear. Happy developers.

@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 bespoke context compounds.
Your autonomous product security engineer.
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, at the least -- and sometimes vulnerable.
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.
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 operationsconst resolvedPath = path.resolve(file);if (!resolvedPath.startsWith(cwd + path.sep))throw new Error('Invalid file path');From Systems of Detection
To Systems of Decision
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.
The 4 Layers of Context
How Pixee builds your organization's security memory
Process Context
Security policies, architectural patterns, governance rules.
Raw Context
Code, scanner findings, dependencies, configurations.
Kinetic Context
Exploit verification, reachability analysis, cross-scanner correlation.
Human Feedback Context
Merge/reject patterns, organizational preferences, precedents.
Built For Modern
Security Teams
What you get







