Side-by-side comparison of AI visibility scores, market position, and capabilities
Unified data security and privacy platform for AI governance and compliance, San Jose CA, raised $220M+, unicorn. Covers privacy, security, and AI risk in one platform.
Securiti is a San Jose, California-based data security and privacy company founded in 2019 by the team behind Symantec's cloud security division. The company has raised over $220 million, achieving unicorn status, and provides a unified platform for data security, privacy compliance, data governance, and AI governance — addressing the convergence of these disciplines in modern enterprise data environments. Securiti serves enterprise customers globally across financial services, healthcare, retail, and technology sectors.\n\nSecuriti's platform is built around an automated data intelligence engine that discovers, classifies, and catalogs sensitive data across cloud, on-premise, and SaaS environments. This foundation supports multiple compliance and security use cases: GDPR and CCPA privacy operations, data access governance, cloud security posture management, and AI governance — including inventorying AI systems and the data they consume, assessing risks, and generating compliance documentation for emerging AI regulations like the EU AI Act.\n\nThe company's AI governance capabilities have become an increasingly important differentiator as enterprises face mounting regulatory pressure around AI systems and as chief privacy officers take on expanded responsibility for AI oversight. Securiti competes with OneTrust in the privacy platform market and with BigID and Varonis in the data security and governance space. Its broad platform spanning privacy, security, and AI governance positions it as a single-vendor solution for organizations seeking to consolidate their trust and compliance technology stack.
AI quality assurance with insurance-backed warranties from Swiss Re and Greenlight Re; EU AI Act compliance assessments backed by YC and reinsurance partners for high-risk AI deployments.
Armilla AI is a third-party AI quality assurance and warranty company that evaluates AI models for organizations deploying AI in regulated or high-stakes contexts — assessing models against EU AI Act and NIST AI Risk Management Framework requirements for risks including bias, hallucination, robustness failures, and adversarial vulnerabilities, then providing performance guarantees backed by insurance coverage from reinsurers Swiss Re, Greenlight Re, and Chaucer. Founded in Toronto, Canada, Armilla raised $6.81 million total including a C$4.5 million seed round in February 2024 from Mistral Venture Partners, MS&AD Ventures, Y Combinator, and its reinsurance partners.\n\nArmilla's model is unique in the AI governance market — rather than just providing compliance reports, Armilla backs its assessments with insurance warranty products. An enterprise deploying a third-party AI model can purchase an Armilla warranty that pays out if the model performs differently than assessed (fails on bias, accuracy, or robustness metrics), transferring AI performance risk to insurance markets that can price and distribute it. This insurance mechanism creates financial accountability for AI quality claims that audit reports alone don't provide.\n\nIn 2025, Armilla competes in the AI governance, risk, and compliance market with Credo AI, Arthur AI, and AI audit firms for enterprise AI risk assessment and compliance tools. The EU AI Act, fully applicable by August 2025 for high-risk AI systems, is driving enterprise compliance urgency — companies deploying AI in hiring, credit scoring, healthcare, and other regulated contexts need third-party conformity assessments. Armilla's insurance-backed warranty differentiates its offering from pure advisory competitors. The reinsurer backing (Swiss Re, Greenlight Re, Chaucer) provides both capital credibility and distribution through insurance broker channels. The 2025 strategy focuses on growing EU AI Act compliance assessments and expanding the warranty product coverage to more AI deployment use cases.
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