Automated hacker intuition
Continuous Security Testing for CI/CD
Your team runs scanners, schedules pentests, and manages a bug bounty queue. None of it works the way an attacker would.
Sybil is the offensive security hire you don't have: a system of AI agents that finds, exploits, and validates real vulnerabilities in your application, continuously. Run black-box or white-box, whichever fits your team. Findings arrive validated, in minutes, not weeks. Your team ships fixes through the workflow you already use, and queries Sybil directly to see what was tested and what wasn't.
problem
Why security can't keep up
Developers ship code faster than security teams can review it.
Scanners flood teams with findings nobody has time to triage.
Manual pentests are a snapshot, stale before the report is even delivered.
Bug bounty programs trade one problem for another: unpredictable spend, no guaranteed coverage, a queue of unverified submissions.
Trusted by security-serious teams
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AI Engineering
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Black-box or White-box
Black-box
No source required
No source code, no internal access required. Give Sybil a scope at the same level of detail you'd hand a third-party pentest firm, and Sybil maps the application and starts testing the same day.
White-box • Opt-in
Share source code for deeper context. White-box shortens time to first finding, lets Sybil trace root cause at the code level, and produces remediation precise enough for your engineers — or their AI coding assistants — to apply directly.
What Sybil finds
Beyond OWASP Top 10.
Sybil reasons about your application's actual logic, not a fixed checklist.
Access control
IDOR, privilege escalation, multi-tenant isolation, RBAC bypass
Server-side
SSRF, cryptographic failures, OWASP Top 10, CWE/CVE mapping
Logic
Business-logic flaws, multi-step attack chains, auth-flow abuse, race conditions
Injection
SQL/NoSQL, OS/LDAP, deserialization, file upload and path traversal
Novel vulnerabilities
Issues that don't match a known signature
Client-side
XSS (reflected, stored, DOM), CSRF, clickjacking, open redirect
Sybil finds bugs that aren't on any checklist yet, because Sybil reasons about your specific application instead of testing for known signatures. Every finding ships with a CVSS 3.1 score and CWE ID.
What's in every finding
CWE ID and CVSS 3.1 severity
HTTP request/response pair and reproduction steps
Affected components
Remediation precise enough for an AI coding assistant
Full exploit chain
Step-by-step validation log
Business impact, contextualized to your application
Export: PDF, CSV, JSON, REST API, MCP server, SOC 2 report
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Trusted by high velocity teams
Faq
Common questions
Coverage you can verify
Every action Sybil takes is logged and visualized. Surface and coverage maps show what your application looks like from an attacker's perspective, and exactly which parts Sybil has tested, so your team can answer the two questions that matter: what's there, and what's actually been looked at. This is intelligent coverage: Sybil decides what needs testing and shows exactly where they looked.
An AI scanner can't tell you what it didn't test. Sybil can. Ask "did you try this?" at the finding level, and get an answer.
Integrates with GitHub and GitLab for Continuous Testing
Sybil integrates with GitHub and GitLab. Findings land where your engineers already work, remediation gets applied through the AI coding assistants they already use, and retests complete in under an hour — no scheduling required.