Mindgard vs Zenity

Both compete in Red-Teaming & AI Security. Mindgard positions itself as “Continuous automated AI red teaming and security testing for enterprise AI systems”, while Zenityleads with “Security and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints”. The table below compares what each publishes.

Where Mindgard pulls ahead

Publishes support for SOC 2, which Zenity does not. Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems

Where Zenity pulls ahead

Enterprises adopting AI agents and low-code platforms that need centralized security posture management and response

	Mindgard	Zenity
Positioning	Continuous automated AI red teaming and security testing for enterprise AI systems	Security and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	SOC 2	None published
Deployment	SaaS, API	SaaS, Cloud, API
Built for	Security, Data Science / ML, Risk	Security, Risk, GRC
Founded	2022	2021
Headquarters	Boston, USA (with London, UK office)	Tel Aviv, Israel
Ownership	Private (VC-backed)	Private (VC-backed)
Funding	Over $11.6M raised, including an $8M round in December 2024 led by .406 Ventures, with IQ Capital, Lakestar, Atlantic Bridge and WillowTree Investments	$59.5M total; $38M Series B in October 2024 led by Third Point Ventures and DTCP, with M12, Intel Capital and Vertex Ventures
Pricing	Not published	Not published
Key capabilities	Automated AI red teaming AI discovery and reconnaissance Attack surface mapping Vulnerability assessment Model scanning Runtime protection	AI agent discovery and inventory AI security posture management Real-time threat detection and response Prompt injection and hijacking prevention Low-code/no-code app security Shadow AI visibility
Integrations	OpenAI, Anthropic, AWS, Docker, Burp Suite, CI/CD pipelines	Microsoft Copilot Studio, Microsoft Power Platform, Salesforce, ServiceNow
Notable customers	None published	None published
Best for	Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems	Enterprises adopting AI agents and low-code platforms that need centralized security posture management and response
Limitations	Focused on security testing rather than broad AI governance or policy management; some framework-specific compliance mapping is not detailed publicly.	Strongest around enterprise agent/low-code ecosystems; less focused on standalone model red teaming or compliance certification.

Which should you shortlist?

Choose Mindgard if enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems

Choose Zenity if enterprises adopting AI agents and low-code platforms that need centralized security posture management and response

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Mindgard profile →Full Zenity profile →

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