End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI
SplxAI
End-to-end security for AI with automated red teaming and runtime protection for agentic systems
What SplxAI does
SplxAI (SPLX) is an AI security company delivering end-to-end protection for generative and agentic AI systems, combining automated red teaming with runtime security, governance, and remediation. Founded in 2023 and headquartered in Dover, Delaware, the company built its platform to secure GenAI-powered conversational and agentic applications through continuous, real-time penetration testing that simulates sophisticated adversarial attacks across modalities including text, images, voice, and documents. The SplxAI platform spans AI asset discovery (models, workflows, MCP servers, and guardrails), automated red teaming against an extensive attack database, runtime input/output guardrails to block prompt injection and data leakage, governance and compliance mapping, and dynamic remediation that hardens system prompts to reduce attack surface. SplxAI also maintains Agentic Radar, an open-source security scanner for agentic AI. The company targets enterprise security teams that need to build, deploy, and scale AI safely without slowing delivery. Backed by a $7M seed round in March 2025 led by LauncHub Ventures (roughly $9M total), SplxAI was acquired by Zscaler in November 2025. Its distinguishing strength is full-stack coverage from offensive testing through runtime defense and prompt hardening.
Key capabilities
- Automated red teaming
- AI asset management and discovery
- Runtime input/output guardrails
- Dynamic prompt hardening
- Governance and compliance mapping
- Agentic Radar open-source scanner
Best for
Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
Limitations
Now part of Zscaler, so standalone availability and roadmap are tied to the acquirer; detailed compliance certifications not publicly enumerated.
Framework coverage
SplxAI does not publish explicit mappings to the major AI governance frameworks. That is common for tools in the red-teaming & ai security category, where the value is technical rather than documentary — but it means you will be responsible for evidencing how it satisfies your obligations.
Compare SplxAI
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