Darkhunt provides a cloud‑based security control plane that continuously tests and monitors AI agents in production. It runs automated red‑team attacks to find vulnerabilities, detects anomalous or malicious outputs in real time, and integrates with existing security tools to alert teams and enforce guardrails.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI agents face invisible manipulation, adversarial attacks, and misuse that traditional security tools such as firewalls, WAFs, and SIEM cannot detect because AI outputs can be altered without leaving obvious traces.
Solution
Darkhunt offers a security control plane that continuously tests, monitors, and protects AI agents in production. The platform probes AI models for vulnerabilities, detects anomalous or malicious outputs in real time, and alerts security teams to potential compromise. By integrating automated red‑team testing and behavior analytics, Darkhunt enables organizations to maintain visibility into AI decision‑making and enforce guardrails before harmful actions occur. The solution is delivered as a cloud‑based service that can be linked to existing security workflows, providing a dedicated layer of protection for AI‑driven workloads.
Target Audience
Primary customers are enterprise security and risk teams responsible for safeguarding AI‑enabled applications, including financial services, healthcare, and large technology firms that rely on AI agents for critical decision‑making.
Features
- Continuous automated red‑team testing of AI agents to uncover adversarial weaknesses
- Real‑time monitoring of AI outputs with anomaly detection and manipulation alerts
- Behavior analytics that differentiate legitimate decisions from malicious deviations
- Integration hooks for existing security tooling and incident response pipelines
- Cloud‑native control plane with centralized dashboard for policy management and reporting