Darkhunt AI Security vs Mindgard
Darkhunt AI Security
darkhunt.ai
Mindgard
mindgard.aiSide by side
| Figure | Darkhunt AI Security | Mindgard |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 0 |
| Spec score · AI Red Teaming Tools | 7.9 (#8) | 7.5 (#15) |
| Deployment | Darkhunt says it supports cloud, hybrid, and self-hosted deployment. | Mindgard says it can be operational in minutes through APIs, CI/CD pipelines, Burp Suite, or a single-click workflow. |
| 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. | Mindgard says it supports APIs, CI/CD, and Burp Suite, including a Burp Suite extension. |
| Purpose | Darkhunt continuously tests, monitors, and protects AI agents in production. | Mindgard’s AI security platform finds, validates, and helps fix high-impact vulnerabilities in AI systems and agents. |
| Red teaming | Automated red teaming tests agents with their real tools, permissions, and data access for attacks including prompt injection, jailbreaks, and data exfiltration. | Automated red teaming emulates attacker workflows to find exploitable vulnerabilities across models, tools, data, and workflows. |
| Runtime protection | Findings can become inline runtime policies, and an MCP gateway proxies requests and responses. | Mindgard describes runtime detection and response that applies context-driven guardrails and provides remediation guidance. |
| Support | The free plan includes community support, pay-as-you-go includes dedicated support, and custom annual includes dedicated support and onboarding. | The site invites visitors to contact its team and book a demo. |
Plans
Darkhunt AI Security
- FreeFree
- Custom AnnualPrice not published
- Pay as you goPriced on request
In their own words
Darkhunt AI Security
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.