Darkhunt AI Security
darkhunt.ai
What it is
Darkhunt AI Security continuously tests, monitors, and protects AI agents in production. It discovers models, agents, and MCP servers across SaaS, cloud, endpoints, and code, including sanctioned and shadow AI. Its observability tools log and replay activity, making agent prompts, responses, and tool calls searchable. Automated red teaming tests agents with their actual tools, permissions, and data access for prompt injection, jailbreaks, and data exfiltration. The platform also checks decision integrity, including manipulated figures, suppressed alerts, RAG poisoning, and confident hallucinations, and traces answers to source data points. Findings can become inline runtime policies, while an MCP gateway proxies requests and responses. Listed integrations include OpenAI, Anthropic, Azure, AWS Bedrock, Gemini, and self-hosted systems. Deployment options are cloud, hybrid, and self-hosted. Findings or controls can map to several named frameworks, including the EU AI Act and NIST AI RMF. The free plan costs nothing and includes full platform access, a free credit allotment, and community support. Paid options have unlisted prices.
Spec sheet
- Purpose
- Darkhunt continuously tests, monitors, and protects AI agents in production.Read 28 Sep 2026 · darkhunt.ai
- Deployment
- Darkhunt says it supports cloud, hybrid, and self-hosted deployment.Read 28 Sep 2026 · darkhunt.ai
- Integrations
- The site lists OpenAI, Anthropic, Azure, AWS Bedrock, Gemini, and self-hosted systems, and says it offers pre-built integrations for agent frameworks, model providers, SIEM, and cloud platforms.Read 28 Sep 2026 · darkhunt.ai
- Support
- The free plan includes community support, pay-as-you-go includes dedicated support, and custom annual includes dedicated support and onboarding.Read 28 Sep 2026 · darkhunt.ai
- Agent inventory
- It discovers models, agents, and MCP servers, including sanctioned and shadow AI across SaaS, cloud, endpoints, and code.Read 28 Sep 2026 · darkhunt.ai
- Company security
- Darkhunt Limited says it completed a SOC 2 Type I examination covering Security, Availability, and Confidentiality in August 2026, with Type II underway.Read 28 Sep 2026 · darkhunt.ai
- Decision integrity
- It tests for manipulated figures, suppressed alerts, RAG poisoning, and confident hallucinations, and traces answers to their source data points.Read 28 Sep 2026 · darkhunt.ai
- Framework mapping
- The platform maps findings or controls to the EU AI Act, NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS, and ISO 42001.Read 28 Sep 2026 · darkhunt.ai
- Observability
- It logs, replays, and makes searchable agent prompts, responses, and tool calls.Read 28 Sep 2026 · darkhunt.ai
- Red teaming
- Automated red teaming tests agents with their real tools, permissions, and data access for attacks including prompt injection, jailbreaks, and data exfiltration.Read 28 Sep 2026 · darkhunt.ai
- Runtime protection
- Findings can become inline runtime policies, and an MCP gateway proxies requests and responses.Read 28 Sep 2026 · darkhunt.ai
- Trust documentation
- The Trust Center lists SOC 2 Type 1 compliance and a SOC 2 Type I report, with access to sensitive documentation available by request.Read 28 Sep 2026 · trust.darkhunt.ai
Plans and prices
Strong points and limits
Strong points
- Discovers sanctioned and shadow AI systems.
- Replays and searches agent prompts and tool calls.
- Automates red-team testing against real permissions.
- Findings can become inline runtime policies.
- Supports cloud, hybrid, and self-hosted deployment.
Limits
- Free plan support is community-based.
- SOC 2 Type II is still underway.
Who it suits
Darkhunt is for teams operating AI agents that need continuous monitoring, automated attack testing, or runtime controls. Its cloud, hybrid, and self-hosted options may suit teams with different deployment preferences.
Verdict
Darkhunt combines agent discovery, red teaming, observability, and runtime protection.
Where Specifiction places it
- AI Red Teaming Tools#8 of 277.9