Autonomous Pentesting Finds Vulnerabilities. We Close Them.
Most autonomous tools stop at discovery. HackerOne's platform orchestrates AI agents, agentic validation, and expert researchers to turn findings into verified fixes at scale.
Numbers That Speak For Themselves
of reports handled before human touch
Finding More Vulnerabilities Doesn’t Reduce Risk. Fixing Them Does.
Every autonomous pentesting vendor will tell you they find more, faster. What about the exposures you've actually closed? The gap between discovery and remediation is where breaches happen, and how you close it depends on what your vendor does after discovery.
| Hackbots | HackerOne Platform | |
|---|---|---|
| Discovery | 78% of AI tool submissions are a single vulnerability class (XSS) | Hybrid offensive testing via agents and researchers, every vulnerability class covered |
| Validation | Reports land on your team to triage | Auto-validates, deduplicates, and prioritizes; 94% acceptance rate |
| Remediation | Limited workflow integrations | Routes to Jira, ServiceNow, GitHub with fix guidance; retesting verifies closure |
| Scope | Web applications | Web, mobile, API, cloud, network, AI/LLM |
| Signal quality | Your team filters the noise | Filters noise at intake; only exploitable, in-scope findings surface |
| Intelligence | Improves when hackbots ship updates | Learns from every engagement; accuracy compounds as program volume grows |
How HackerOne Is Different
General-purpose hackbots maximize detections for the most documented vulnerability classes, rely on basic execution success for validation, and lack accountability for remediation. At scale, this tends to create backlogs of busywork that amount to no real, material reduction of risk.
HackerOne's platform handles the complete lifecycle. Hai, our agentic AI system automates the triage, validation, and routing that your team shouldn't have to do manually. Every engagement makes your programs smarter.
| Automate the Lifecycle | Go Deeper Than One Bot Can | See All Your Risk in One Place |
|---|---|---|
| Hai qualifies, deduplicates, prioritizes, and routes every finding throughout the lifecycle, from discovery to retesting. | Agents + researchers surface chain-reaction bugs, auth bypasses, and privilege escalations, with awareness of business logic and evolving expected behavior as product teams iterate. | Agentic testing, adversarial research, and code security controls, all feeding one continuous view of exposure across your full attack surface. |
FAQ
Our Agentic PTaaS combines AI agents with qualified human experts to deliver both scale and depth. Hai orchestrates the workflow: qualifying findings, collapsing duplicates, prioritizing by business impact, routing to the right teams, and verifying fixes. AI agents expand coverage across the environment, while expert researchers investigate the complex paths that autonomous tools alone miss. Each engagement makes the system smarter and subsequent engagements better.
Hai is the agentic orchestration layer that connects every discovery to remediation. It brings findings into a single view of risk, helps teams prioritize what matters, filters AI-generated noise and duplicates, and gives developers the proof and context they need to fix. Hai maintains an acceptance rate of 94% for its recommendations.
Most new AI providers use a single offensive security hackbot to test modern web applications. HackerOne offers a platform that handles the full security lifecycle: multi-agent systems for navigating complex enterprise environments, Hai for automated validation and remediation orchestration, a large community of researchers for adversarial depth, and over 35 workflow integrations.
HackerOne is a CREST-accredited and CSA-licensed penetration testing provider. Our pentest reports meet requirements for SOC 2, ISO 27001, PCI DSS, DORA, GDPR, and many other frameworks. For organizations in regions where accredited providers are a procurement requirement, HackerOne delivers both accredited pentesting and agentic testing capabilities under a single contract.
Yes. HackerOne supports the full Continuous Threat Exposure Management (CTEM) loop through agentic and human testing approaches to uncover exposures and validate whether controls hold up under real-world conditions. Hai brings findings into one prioritized view of risk and drives remediation through connected workflows and retesting. Autonomous pentesting tools focus on a single slice of discovery; HackerOne provides broader coverage, automated validation, and a clear path from finding to verified fix.
Pentest engagements typically launch in days. Agentic PTaaS reconnaissance typically starts in hours.
AI is transforming offensive security, and it should. But the real question is whether your platform handles the full lifecycle from discovery through remediation, or just the discovery step. HackerOne's platform orchestrates AI agents for speed and scale, Hai for agentic validation and prioritization, and expert researchers for the adversarial depth that pattern-matching alone cannot reach.
It depends on the tradecraft behind them and the lifecycle they cover. What we’ve seen in our ecosystem is that discovery hackbots tend to specialize in a limited set of vulnerability classes for specific assets built with modern technology stacks (e.g., XSS discovery for public-facing web applications). Chain-reaction vulnerabilities, authentication bypasses through workflow abuse, and privilege escalation requiring deep business context continue to, by and large, come from researchers: the skill and experience diversity of the researcher community means that problems are approached differently, creatively, and often through the use of AI tools they built themselves that amplify their unique skills.
They cover certain steps and augment others, not the full lifecycle. The strongest programs add autonomous testing for speed, then layer in agentic validation, diverse adversarial tradecraft of a large community of security researchers, and remediation workflows to turn findings into actual risk reduction.
