Chosen by teams that take attackers seriously
Teams today run penetration tests on their applications by “wrapping” frontier AI models to create an autonomous agent, bolting offensive security capabilities onto a legacy security scanner, or scaling human pentesters with AI. No single approach closes the gaps. Novee is built AI-native from the ground up, combining an AI hacker and an AI defender in one platform to continuously find, prove, and fix real exploitable risk.
Attackers now operate continuously, but most testing was built for a slower world. These solutions all attempt to use AI to augment offensive security capabilities.
Autonomous AI wrappers.
AI bolted onto legacy tools.
Human-powered testing.
Novee is the AI penetration testing platform training the world’s best offensive security AI. Built by veteran offensive security operators, it pairs attacker-grade reasoning with a living understanding of your environment.
Attacker-grade reasoning.
A living model of your environment.
Finds what actually leads to breaches.
Zero false positives, by design.
Closes the loop.
Continuous coverage across your portfolio.
| Capability | Novee AI Pentesting | Other approaches |
|---|---|---|
| Compounding context | A living model that compounds. The Asset Intelligence Model builds every cycle — coverage expands and testing gets more targeted over time. |
Most tools reset each run. No memory between engagements, and no real understanding of how your application works. |
| Closed-loop remediation | Proven fixed, not just found. Every finding ships with stack-specific remediation and automatic retesting to confirm the vulnerability is closed. |
Detection-only. Findings arrive with generic guidance — remediation and verification are left to your team. |
| Zero false positives | Proof, not noise. Three independent agents validate every finding, with deterministic checks where possible. If any stage fails, it’s never reported. |
High false-positive rates or a single validation pass. Teams lose hours triaging alerts that turn out not to be real. |
| Business logic depth | Reasons like an attacker. Finds business logic flaws, authorization gaps, and chained attack paths — the flaws that actually cause breaches. |
Pattern-match against known vulnerability classes. Business logic and multi-step exploit chains go undetected. |
| Purpose-trained offensive model | A proprietary offensive model and harness. An offensive AI stack trained on real attacker tradecraft and optimized for your environment — not a generic LLM wrapped around a scanner. |
Most wrap a third-party, general-purpose frontier model around a standard scanning workflow. |
| Continuous, autonomous testing | Runs as your environment changes. Continuous, CI/CD-triggered testing that keeps pace with every deploy — fully autonomous. |
Point-in-time or human-dependent. Findings arrive in batches, often weeks after the risk appeared. |
| Coverage across surfaces | Web, API, mobile, and AI apps. Attacker-grade reasoning applied across every application-layer surface, not just the easy ones. |
Often limited to infrastructure or web, with mobile and AI applications a secondary add-on. |
| Time to value | Black-box from a domain name. No source code, no credentials, no lengthy onboarding — real, validated findings in days. |
Many also start black-box, though some require scoping, source code, or access approvals before results. |
“As the leading agentic orchestration platform for the enterprise, data isolation between our customers is non-negotiable. We need to prove that continuously, not once a year. Novee adapted to our multi-tenant SaaS product within days.”
“Our pen tests took weeks and consistently missed critical issues. Novee found them immediately and gave us instant remediation guidance. It showed us what we'd been missing.”
"Traditional DAST produced either zero or irrelevant results. We needed something that could identify complex vulnerabilities like server-side request forgery. Novee consistently surfaces findings we simply weren't seeing before."
“Novee rethinks penetration testing for how attacks actually happen today. Continuous, attacker-level validation that proves what’s exploitable and shows teams exactly how to fix it is a meaningful shift for modern security programs.”
"The hardest vulnerabilities for us to catch aren’t misconfigurations or known patterns. They’re business logic issues that only show up when someone understands how the application is supposed to work. That’s exactly the gap Novee closes."
"We had EASM tools and manual pentests that produced mostly noise. Novee came in black-box with zero credentials and within days found dozens of real vulnerabilities we could actually fix."
“As an AI researcher, what stood out about Novee is that they built a proprietary offensive AI model designed to think like an attacker, rather than wrapping generic LLMs. That matters for enterprise-grade results.”
“This was by far the deepest and fastest security assessment we’ve had. Novee uncovered issues across our web and mobile applications that had gone undetected before, and the level of depth was unlike anything we’d seen from other vendors.”
“We had urgent compliance need and we couldn’t wait weeks for DAST findings, an external exposure audit, and an in-depth pentest report. Instead Novee came in and delivered immediate value with their AI pentesting platform; with their findings, we closed our gaps and quickly met the criteria we needed for certification.”
"Before Novee, we were getting a snapshot once a year. Now we have continuous coverage across our application portfolio, we're already finding things that prior manual pentests missed completely, and I have real confidence that our security posture reflects what's actually in our environment."
