To beat attackers you need a proprietary offensive AI model. We built it. Trained to continuously find, prove, and fix high-impact vulnerabilities before attackers can act.
Attackers are using AI to move faster, exploit deeper, and uncover attack paths humans would never find manually. But they have access to the same frontier models as everyone else.
A security platform built on those same models can’t stay ahead, and can’t run continuously at enterprise scale without runaway cost.
That’s why we built Novee – the only proprietary offensive AI continuously optimized to beat attackers.
Continuous testing across web, mobile, AI apps, APIs, and external attack surfaces.
Finds complex exploit chains and business logic vulnerabilities that scanners and shallow tools miss.
Validates findings with a working exploit and reproducible steps – no false positives, no noise.
Delivers precise remediation based on your architecture and retests automatically.
Novee combines its proprietary offensive model with leading frontier models, intelligently routing each task to the best performer.
Novee’s offensive harness combines specialized prompts, tools, and orchestration for exploit discovery, validation, and chained attack execution – built by elite offensive security operators.
Unlike other tools, Novee benchmarks and optimizes both the model and harness so offensive performance improves automatically as attackers and AI evolve.
Continuously attack your applications to uncover real exploit chains, business logic flaws, and vulnerabilities that scanners consistently miss.
Every issue is confirmed with clear steps to replicate and real impact, so your team can ignore false alarms and focus only on issues that truly put you at risk.
Get clear, personalized, step-by-step fixes tailored to your architecture, tech stack, and business logic. (Not generic scanner advice.)
Automated assessments adapt to your evolving infrastructure – retesting with new deployments, code changes, and emerging threats.
RBAC ensures appropriate access with clear separation of duties.
Every action is logged with complete execution traces for review and compliance.
Scope, guardrails, and test categories are visible and approvable before execution.
Rate limits and defined boundaries prevent disruption. No destructive payloads. No data exfiltration.
SaaS, Bastion Node, or on-prem. Models never train on customer data.
Jira, GitHub, ServiceNow, and more – fits into the workflows your team already uses.
The first AI pentesting platform for mobile apps. Novee tests your entire attack surface—web, API, and mobile—continuously, mapping every finding to OWASP.
We found the first 7 UXSS vulnerabilities through manual reverse engineering. Then, we formalized the patterns and pointed Novee at 20 Android apps. It found five more, plus a critical…
Training LLMs for pentesting is harder than the hacking itself. Real lessons on prefix breaks, weight sync, silent bugs, and environment costs in RL runs.
The full story
This article is one source in a clustered incident — the cluster page carries the summary, timeline and every other outlet covering it.
