AIAI Governance StackFree kit

Robust Intelligence vs Vijil

Both compete in Red-Teaming & AI Security. Robust Intelligence positions itself as “AI Firewall and automated model validation to secure AI from build to production”, while Vijilleads with “Trust infrastructure to make enterprise AI agents secure, reliable, and resilient”. The table below compares what each publishes.

Where Robust Intelligence pulls ahead

Publishes support for NIST AI RMF, which Vijil does not. Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards

Where Vijil pulls ahead

Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence

Robust Intelligence
Vijil
PositioningAI Firewall and automated model validation to secure AI from build to productionTrust infrastructure to make enterprise AI agents secure, reliable, and resilient
CategoryRed-Teaming & AI SecurityRed-Teaming & AI Security
FrameworksNIST AI RMFNone published
DeploymentSaaS, On-prem, APISaaS, API
Built forSecurity, Data Science / ML, RiskSecurity, Data Science / ML, Risk
Founded20192023
HeadquartersSan Francisco, California, USACalifornia, USA
OwnershipAcquired by Cisco (2024, reported ~$400M); now part of Cisco AI DefensePrivate (VC-backed)
Funding~$44M raised prior to acquisition; valued above $200M$23M total; $17M round in November 2025 led by Brightmind Partners with Mayfield and Gradient Ventures, following a $6M seed in 2024
PricingEnterprise licensing (now sold within Cisco AI Defense)Not published
Key capabilities
  • AI Firewall runtime input/output protection
  • Algorithmic red teaming
  • Automated model validation and stress-testing
  • Prompt-injection and jailbreak defense
  • OWASP LLM and MITRE ATLAS mapping
  • Continuous production monitoring
  • Agent security and reliability testing
  • Pre-deployment evaluation
  • Runtime protection
  • Trust scoring
  • Continuous monitoring
  • Risk remediation
IntegrationsCisco Security Cloud / AI Defense, Major LLM providers, ML pipelines and model registriesNot published
Notable customersNone publishedSmartRecruiters
Best forEnterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standardsTeams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence
LimitationsAbsorbed into Cisco, so it is increasingly delivered as Cisco AI Defense rather than a standalone product; enterprise-oriented, less accessible to small teamsEarly-stage vendor; detailed framework mappings and integration list are not extensively documented publicly.

Which should you shortlist?

Choose Robust Intelligence if enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards

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.

Full Robust Intelligence profile →Full Vijil profile →

AI Governance Tool Selection Kit

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