RunSybil is an AI-powered offensive security platform that continuously tests your applications for exploitable vulnerabilities.
By Tanmay Verma, Founder · Last verified 03 Jun 2026
In short
RunSybil — RunSybil is an AI-powered offensive security platform that continuously tests your applications for exploitable vulnerabilities. Best for Engineering teams needing security feedback on every pull request, High-risk applications handling sensitive data or transactions, Multi-tenant SaaS platforms requiring business logic and authorization testing. Free to start; paid plans from $99/mo.
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RunSybil's AI-driven offensive security platform fills a critical gap for fast-moving engineering teams — continuous, validated exploit testing that integrates into CI/CD. Its ability to chain vulnerabilities across code, cloud, and APIs is a standout differentiator. However, the lack of transparent pricing and integration details may slow adoption for smaller teams.
Last verified: June 2026
RunSybil is a strong choice for engineering-led organizations that need continuous security validation rather than periodic pentests. Its AI reasoning approach mimics elite human researchers, and the ability to catch vulnerabilities on every pull request reduces the time between introduction and detection. The platform covers code, APIs, cloud, and infrastructure, and specifically targets cross-component attack paths that scanners miss. This is ideal for high-risk applications handling sensitive data or multi-tenant architectures. For teams already running bug bounties or annual pentests, RunSybil offers a more predictable, continuous alternative with pre-validated findings that require no triage effort. However, RunSybil may not fit organizations without a mature CI/CD pipeline—its value hinges on integration into deployment workflows. Smaller teams or startups with limited application stack complexity might not need the full cross-stack reasoning capability. Compared to traditional DAST or SAST tools, RunSybil goes further by validating exploitability, but it is a premium offering likely priced beyond basic scanner budgets. The website emphasizes enterprise readiness and mentions a $40M raise, suggesting it targets mid-to-large companies. One caveat: the page lacks concrete pricing or integration listings, so budgeting requires a sales conversation. Overall, if you need continuous, AI-powered offensive security that scales with engineering velocity and reduces noise, RunSybil is a compelling option.
Skip RunSybil if Skip RunSybil if you need a free or low-cost vulnerability scanner, or if your organization only requires compliance-driven scanning without continuous testing integration.
Across the latest 8 updates: 3 feature updates and 5 news mentions.
RunSybil uses early access to Opus 4.8 to exploit old games, demonstrating AI hacking capabilities.
RunSybil's AI agent 'Sybil' demonstrates automated vulnerability discovery, likened to a hacker preserved as a ROM construct.
RunSybil founders describe building autonomous agents that find vulnerabilities like real attackers, at software speed.
Fortune reports RunSybil's $40M funding round, noting its founding by OpenAI's first security hire.
RunSybil raises $40M led by Khosla Ventures to develop an AI-native platform for offensive security.
RunSybil presents on agentic AI and automation in cybersecurity at Munich Conference.
RunSybil unveils attack surface in Apollo Federation beyond introspection queries.
Wired article features RunSybil, stating AI hacking skills near an inflection point.
How likely is RunSybil to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
RunSybil is an AI-powered offensive security platform that continuously tests your applications and infrastructure for exploitable vulnerabilities. It reasons about your system the way an elite human researcher would, but across your entire stack, on every deployment. Designed for modern engineering teams, RunSybil integrates security feedback into every pull request, catching vulnerabilities at the commit, not after the breach. It maps your entire stack covering code, APIs, cloud, and infrastructure, and chains vulnerabilities across them to surface real, exploitable attack paths. Unlike signature-based scanners or point-in-time pentests, RunSybil continuously re-evaluates your attack surface and delivers only exploitable findings with zero triage burden. It is built for enterprises that need security that keeps pace with their engineering velocity, enabling proactive defense rather than reactive remediation.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas RunSybil actually fits — and what changes day-one when you adopt it.
You integrate RunSybil into your GitHub Actions pipeline. Every pull request triggers an automated attack simulation. Within minutes, you receive a report showing a chained vulnerability that could allow privilege escalation via an API misconfiguration combined with an IAM role flaw.
Outcome: You fix the vulnerability before it reaches production, avoiding a potential breach. The same finding would have been missed by your SAST and DAST tools.
You schedule a continuous attack surface monitoring session with RunSybil. It models your cloud infrastructure and application, identifies a lateral movement path from a public-facing API to your database server, and validates that the path is exploitable.
Outcome: You remediate the issue before the audit, and the platform provides evidence of continuous testing to auditors. The audit passes with no critical findings.
You replace your bug bounty with RunSybil. Over the first month, the platform consistently finds and validates critical vulnerabilities across your stack, with zero noise. The cost is predictable and lower than your previous bounty payouts.
Outcome: Your team no longer spends time triaging low-quality bounty reports. Vulnerabilities are fixed faster, and the security posture improves measurably.
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.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published RunSybil tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Tier
Free
Ideal for
Early-stage startups or individual developers wanting to evaluate RunSybil's capabilities with a limited scope
What this tier adds
Free entry point with limited features; details not publicly documented
Pro Tier
$99/mo
Ideal for
Small security teams at growing companies needing continuous testing of core applications with predictable monthly cost
What this tier adds
Priced at $99/month; likely includes more scans, broader stack coverage, and better support than Free
The company stage and team size where RunSybil's pricing actually pencils out — and where peers do it cheaper.
RunSybil targets mid-to-large engineering teams with budgets for continuous security. Its custom pricing is likely higher than simple scanners but may be cheaper than running a bug bounty program or frequent pentests. Without published tiers, smaller teams may find it inaccessible. For context, a bug bounty program can cost $50K+/year, while a traditional pentest runs $20K-$100K per engagement. RunSybil claims predictable cost, but you'll need to request a quote.
How long it actually takes to get something useful out of RunSybil — broken out by persona, not the marketing-page minute.
For teams with existing CI/CD pipelines, initial integration can be completed within a few hours to a day, including API configuration and a first scan. Standalone teams without automated pipelines may need a few days for the initial deployment and configuration. RunSybil provides a sample report and demo to help you understand the output format.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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Last calculated: June 2026
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