AI Broke
Security
AI accelerated development. Security stayed manual. Every sprint widens the gap.
AI creates vulnerabilities faster than humans can triage.
Real vulnerabilities sit waiting. Attackers don't.
Context Driven AppSec
Built for an AI Reality
The end of the security backlog. Agentic resolution platform for modern enterprises.
Automate vulnerability resolution like your team would
Pixee turns scanner noise into validated, prioritized risk, then writes fixes as your developers would. Humans approve every change
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}Learn From Your Team, Continuously
Platform learns from every action until it perfectly mimics your team expertise, conventions, preferences and risk. Bespoke for every customer across:
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 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 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.
From Systems of Detection
To Systems of Decision
A parallel reality where every security decision leaves a trace.
Not just a snapshot. A history.
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.