RunSybil
AI-powered offensive security for continuous application testing.
For teams needing continuous, AI-driven offensive security that fits into CI/CD, RunSybil is a serious contender. It reasons like an elite hacker to find exploitable chains across the stack, reducing false positives. Pricing is opaque and likely high, but if you're replacing bug bounties, it's worth the investment.
Verified 5h ago · liveness 93/100 · cite: rightaichoice.com/tools/runsybil
- High-risk application security testing for critical systems handling customer data and transactions
- Continuous attack surface monitoring for fast-moving development teams
- Multi-tenant SaaS providers needing business logic and authorization testing
- Organizations implementing CTEM programs seeking continuous validation
- Small teams with limited budgets as pricing is likely enterprise-focused
- Organizations needing simple vulnerability scanning without deep adversarial reasoning
- Teams that prefer periodic manual pentests with human creativity for niche edge cases
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Skip RunSybil if you need simple vulnerability scanning or have a limited budget, as pricing is enterprise-focused and the platform requires deep integration into your development pipeline.
Pricing is contact-based, no public tiers – potential for high cost for smaller teams
RunSybil pricing is contact-only, likely targeting mid-to-large enterprises with budgets for continuous security testing. Compared to pentest-as-a-service platforms like HackerOne or Cobalt, RunSybil offers continuous coverage with predictable cost, but lacks self-service tiers for smaller teams. For early-stage startups, cheaper alternatives include manual pentests or open-source scanners.
In short
RunSybil — AI-powered offensive security for continuous application testing. Best for High-risk application security testing for critical systems handling customer data and transactions, Continuous attack surface monitoring for fast-moving development teams, Multi-tenant SaaS providers needing business logic and authorization testing. Contact Sales pricing.
What's new in RunSybil
Checked 17 days agoAcross the latest 9 updates: 7 feature updates and 2 news mentions.
Sybil Is a Funnel: Our Approach to A/B Testing Complex Agentic Systems
RunSybil describes its funnel methodology for A/B testing complex agentic AI systems.
Exploiting Ancient Games With Early Access to Opus 4.8
RunSybil used early access to Anthropic's Opus 4.8 to find vulnerabilities in N64 Mario Golf, extending AI hacking to retro games.
Reproducing Top Results from the AIxCC with General Access AI Models and $600
RunSybil reproduced top AIxCC results using general-access AI models for $600, demonstrating cost-efficient AI hacking.
Sybil Is a Funnel: Our Approach to A/B Testing Complex Agentic Systems
RunSybil describes its funnel methodology for A/B testing complex agentic AI systems.
Exploiting Ancient Games With Early Access to Opus 4.8
RunSybil used early access to Anthropic's Opus 4.8 to find vulnerabilities in N64 Mario Golf, extending AI hacking to retro games.
Sybil is a Virgo
RunSybil's AI hacking agent, Sybil, is characterized as a Virgo sign, possibly a branding or cultural reference.
What Does It Take to Automate Hacker Intuition?
RunSybil explores automating hacker intuition in AI agents for offensive security.
RunSybil Raises $40M to Build the AI-Native Platform for Offensive Security
RunSybil announces $40M funding to develop an AI-native offensive security platform.
Fortune Exclusive: AI cybersecurity startup RunSybil, founded by OpenAI's first security hire, raises $40 million led by Khosla Ventures
RunSybil raises $40M Series A led by Khosla Ventures, as reported by Fortune.
Viability Score
How likely is RunSybil to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI-powered adversarial reasoning across code, APIs, cloud, infrastructure
- Continuous testing on every deployment
- Security feedback on every pull request (commit-level)
- Vulnerability chaining across stack components
- Multi-tenant & business logic testing (cross-tenant access, privilege escalation)
- Cloud & infrastructure security validation (IAM, container escapes, CI/CD secrets)
- Integrates with CTEM programs (Phase 4: Validation)
- Pre-validated findings with zero triage burden
- Predictable cost replacing bug bounties and periodic pentests
- Early access to advanced AI models (e.g., Opus 4.8)
- A/B testing methodology for agentic AI systems
- Autonomous agent capabilities for vulnerability discovery
- Covers code, APIs, cloud, and infrastructure layers
- Re-evaluates attack surface with every deployment
- Generates sample reports for evaluation
About RunSybil
RunSybil is an AI-powered offensive security platform that continuously tests applications and infrastructure for exploitable vulnerabilities. Unlike signature-based scanners, it reasons like a human attacker, chaining vulnerabilities across code, APIs, cloud, and infrastructure to surface real, exploitable paths. Founded by OpenAI's first security hire and backed by $40M from Khosla Ventures, RunSybil provides security feedback on every pull request, catching issues at the commit level. It re-evaluates your attack surface with every deployment, ensuring your security posture reflects current systems. The platform integrates with CTEM programs for Phase 4: Validation, replacing bug bounties and periodic pentests with continuous, predictable coverage. Recent news highlights its funnel methodology for A/B testing complex agentic systems, early access to models like Opus 4.8, and cost-efficient reproduction of top AIxCC results for $600. RunSybil covers code, APIs, cloud, and infrastructure, finding vulnerabilities where components connect. It delivers pre-validated findings with zero triage burden and predictable cost. For high-risk applications, multi-tenant SaaS providers, and organizations adopting CTEM, RunSybil offers a modern alternative to traditional pentests or bug bounties, though pricing remains enterprise-focused and undisclosed.
Behind the Verdict
RunSybil is built for organizations where a single breach is catastrophic. It shines when you need continuous validation across code, APIs, cloud, and infrastructure, chaining vulnerabilities that scanners miss. If you're tired of point-in-time pentests that go stale the moment you deploy, RunSybil's commit-level feedback is a game-changer. However, it's overkill if you just need basic SAST/DAST scanning — you'll pay for deep adversarial reasoning you don't use. The closest alternative is a traditional pentest firm or bug bounty platform, but those are periodic and unpredictable. RunSybil offers continuous, automated coverage at predictable cost, though you lose the human creativity for esoteric edge cases. Pricing isn't public, but given the $40M funding and enterprise focus, expect six-figure annual contracts. We'd like to see self-serve or lower-cost tiers for smaller teams, but for now, this is an enterprise tool. The latest news about reproducing AIxCC results for $600 shows cost efficiency at scale, but that's a benchmark, not a price tag. Integration with CTEM programs is a strong selling point for mature security teams. In practice, RunSybil delivers validated findings with minimal noise — our biggest caveat is the sales cycle.
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Real-world workflow fit
Concrete scenarios for the personas RunSybil actually fits — and what changes day-one when you adopt it.
You integrate RunSybil into your CI/CD pipeline. On every pull request, Sybil scans the code diff, tests API endpoints, and checks cloud configurations for vulnerabilities. It surfaces a chained exploit involving a misconfigured IAM role and an API endpoint, which you fix before merge.
Outcome: You catch a critical security issue at commit, preventing a potential data breach. The fix is validated by Sybil before deployment, and you have a record of the finding for compliance.
You run Sybil against your staging environment to test multi-tenant isolation. Sybil uses adversarial reasoning to discover a privilege escalation bug that allows cross-tenant data access. It validates the exploit path and provides a clear report for your engineering team.
Outcome: You fix a hard-to-find business logic vulnerability before it affects customers, strengthening your security posture for an upcoming SOC 2 audit.
You use Sybil to validate findings from your vulnerability scanner. Sybil probes each finding with real exploit attempts and confirms which ones are actually exploitable. It then chains an application-level bug with a cloud misconfiguration to show a full attack path.
Outcome: You reduce false positives, prioritize the valid findings, and prove to auditors that your CTEM program includes continuous validation.
Use Cases
- High-risk application security testing for systems handling customer data and transactions
- Continuous attack surface monitoring that updates with every deployment
- Multi-tenant and business logic testing for SaaS platforms
- Cloud and infrastructure security validation across IAM, containers, CI/CD
- Replace bug bounties and point-in-time pentests with continuous coverage
- CTEM validation – proving whether findings from other tools are exploitable
Models Under the Hood
as of 2026-07-14
Limitations
- Pricing is contact-based, and no self-service tiers with detailed features are publicly listed, which may deter smaller teams.
- The platform requires integration into development pipelines, adding initial setup overhead.
- Native integrations with common tools are not documented on the website, so you may need to build custom API integrations.
- Air-gapped or on-premise deployments may not be supported.
- The free tier mentioned lacks feature details, making its utility unclear.
as of 2026-06-25
Where the pricing makes sense
The company stage and team size where RunSybil's pricing actually pencils out — and where peers do it cheaper.
RunSybil pricing is contact-only, likely targeting mid-to-large enterprises with budgets for continuous security testing. Compared to pentest-as-a-service platforms like HackerOne or Cobalt, RunSybil offers continuous coverage with predictable cost, but lacks self-service tiers for smaller teams. For early-stage startups, cheaper alternatives include manual pentests or open-source scanners.
Setup time & first value
How long it actually takes to get something useful out of RunSybil — broken out by persona, not the marketing-page minute.
Setup time for RunSybil varies: a security engineer can integrate it into CI/CD within a few hours if their stack is standard. Initial configuration to map your full stack may take a few days. For multi-tenant or complex cloud environments, expect 1-2 weeks to fine-tune scanning. First exploitable findings typically appear within the first week.
Switching to or from RunSybil
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual pentests: Replace periodic pentests with continuous coverage by adding RunSybil to your CI/CD pipeline. Transition existing findings as initial baseline.
- →From bug bounty platforms: Shift from pay-per-finding to predictable subscription by setting up RunSybil to continuously test your attack surface, then sunset bounty for critical areas.
- ↗To traditional pentest vendors: Export last RunSybil report as evidence of known vulnerabilities, then engage a pentest firm for manual deep-dive on specific areas.
- ↗To open-source scanners: Use RunSybil's documented API if available to extract findings, then reconfigure pipelines with tools like OWASP ZAP or nuclei.
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