SplxAI vs Vijil
Both compete in Red-Teaming & AI Security. SplxAI positions itself as “End-to-end security for AI with automated red teaming and runtime protection for agentic systems”, while Vijilleads with “Trust infrastructure to make enterprise AI agents secure, reliable, and resilient”. The table below compares what each publishes.
Where SplxAI pulls ahead
Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
Where Vijil pulls ahead
Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence
| Positioning | End-to-end security for AI with automated red teaming and runtime protection for agentic systems | Trust infrastructure to make enterprise AI agents secure, reliable, and resilient |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | None published | None published |
| Deployment | SaaS, API, Open-source | SaaS, API |
| Built for | Security, Data Science / ML, GRC | Security, Data Science / ML, Risk |
| Founded | 2023 | 2023 |
| Headquarters | Dover, Delaware, USA | California, USA |
| Ownership | Acquired by Zscaler (2025) | Private (VC-backed) |
| Funding | ~$9M total; $7M seed in March 2025 led by LauncHub Ventures | $23M total; $17M round in November 2025 led by Brightmind Partners with Mayfield and Gradient Ventures, following a $6M seed in 2024 |
| Pricing | Not published | Not published |
| Key capabilities |
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| Integrations | MCP servers, GitHub | Not published |
| Notable customers | None published | SmartRecruiters |
| Best for | Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems | Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence |
| Limitations | Now part of Zscaler, so standalone availability and roadmap are tied to the acquirer; detailed compliance certifications not publicly enumerated. | Early-stage vendor; detailed framework mappings and integration list are not extensively documented publicly. |
Which should you shortlist?
Choose SplxAI if enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
Choose Vijil if teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
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