Protect AI vs Zenity

Both compete in Red-Teaming & AI Security. Protect AI positions itself as “End-to-end security for the AI and machine-learning supply chain”, 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 Protect AI pulls ahead

Publishes support for NIST AI RMF, SOC 2, which Zenity does not. Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle

Where Zenity pulls ahead

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

	Protect AI	Zenity
Positioning	End-to-end security for the AI and machine-learning supply chain	Security and governance platform purpose-built for AI agents across SaaS, cloud, and endpoints
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	NIST AI RMF, SOC 2	None published
Deployment	SaaS, On-prem, Open-source, API	SaaS, Cloud, API
Built for	Security, Data Science / ML, Risk	Security, Risk, GRC
Founded	2022	2021
Headquarters	Seattle, Washington, USA	Tel Aviv, Israel
Ownership	Acquired by Palo Alto Networks (announced April 2025, ~$700M); part of Prisma AIRS	Private (VC-backed)
Funding	$60M Series B (2024) at ~$400M valuation prior to acquisition	$59.5M total; $38M Series B in October 2024 led by Third Point Ventures and DTCP, with M12, Intel Capital and Vertex Ventures
Pricing	Enterprise licensing; open-source tools (ModelScan, LLM Guard) free	Not published
Key capabilities	Guardian model-scanning security gateway ModelScan open-source model scanning LLM Guard runtime input/output scanners Recon automated red teaming (450+ attacks) huntr AI/ML vulnerability database and bug bounty MLSecOps supply-chain visibility	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	Amazon Bedrock, Hugging Face, MLflow / CI-CD pipelines, Major LLM providers, Palo Alto Prisma AIRS	Microsoft Copilot Studio, Microsoft Power Platform, Salesforce, ServiceNow
Notable customers	None published	None published
Best for	Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle	Enterprises adopting AI agents and low-code platforms that need centralized security posture management and response
Limitations	Now integrated into Palo Alto Networks, so standalone products may converge into Prisma AIRS; breadth means some components (runtime guardrails vs. model scanning) are stronger than others	Strongest around enterprise agent/low-code ecosystems; less focused on standalone model red teaming or compliance certification.

Which should you shortlist?

Choose Protect AI if security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle

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 Protect AI profile →Full Zenity profile →

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