Novee - 2026 Pricing, Features, Reviews & Alternatives

Novee is an AI-powered penetration testing platform that continuously identifies, validates, and remediates security vulnerabilities in live enterprise environments. The platform employs a specialized reasoning model trained on offensive security tradecraft to simulate real-world attacker behavior and uncover exploit chains missed by traditional security tools. It supports black-box, gray-box, and white-box testing configurations to provide value without prior access to sensitive systems or credentials.

The platform applies a methodology that mirrors adversarial tactics in five phases. The discovery phase maps live environments by interacting with real application flows, endpoints, and behaviors to reveal exposed attack surfaces. The detection phase deploys AI agents that launch active attacks to uncover complex vulnerabilities, business logic flaws, and realistic exploit chains. The validation phase confirms each issue with clear replication steps and demonstrated impact to remove false positives. The remediation phase delivers step-by-step fixes tailored to the organization’s architecture, technology stack, and business logic. The repeat phase automates reassessment to adapt to infrastructure changes, new deployments, code modifications, and emerging threat patterns.

Novee’s proprietary reasoning model incorporates specialized knowledge of exploitation techniques, security tools, and attacker methodologies instead of relying on general purpose language models. It enables continuous coverage across web and mobile applications and delivers attacker-level intelligence that complements rapid software development cycles and evolving automated threats.

The platform integrates with existing security workflows and development pipelines to enable continuous testing aligned with modern software delivery. It addresses limitations of traditional dynamic application security testing and external attack surface management by combining automated assessment with attacker-level reasoning. The result is coverage of server side request forgery vulnerabilities, multi-step exploit chains, and business logic issues overlooked by static scanners and periodic penetration tests.