Novee provides autonomous red teaming for AI systems, going beyond simple prompt testing to simulate sophisticated adversarial attacks. The platform's reasoning engine acts as a determined external attacker, methodically probing AI applications for vulnerabilities using black-box techniques — no access to model weights or internal architecture required. This approach mirrors real-world attack scenarios where adversaries interact only with the system's public-facing interfaces.
The key innovation is Novee's ability to discover chained attack scenarios — multi-step exploits where an initial prompt injection enables subsequent unauthorized actions. For example, the platform might discover that a specific conversation flow allows an attacker to trick an AI agent into accessing databases, modifying records, or leaking confidential information through seemingly benign interactions. These complex, multi-step vulnerabilities are virtually impossible to find through manual testing or simple automated scanning.
Novee operates as an enterprise SaaS platform, providing detailed reports that document discovered vulnerabilities, attack chains, and remediation recommendations. The platform continuously updates its attack strategies based on the latest research in adversarial AI. For organizations deploying AI agents with access to sensitive systems and data, Novee provides the offensive security testing needed to identify and close vulnerabilities before real attackers find them.
