Side-by-side comparison of AI visibility scores, market position, and capabilities
San Francisco/Tel Aviv non-human identity security (private, $85M raised); $45M Series B Menlo/Anthology (Anthropic), API key/OAuth/AI agent credential governance competing with CyberArk and HashiCorp Vault.
Astrix Security is a San Francisco and Tel Aviv-based non-human identity (NHI) and AI security company — founded in 2021 by Alon Jackson (CEO) and Idan Gour — protecting enterprises against the explosion of machine identities, API credentials, service accounts, OAuth tokens, AI agent identities, and CI/CD pipeline secrets that have become the primary attack surface for modern cloud breaches. The company raised a $45 million Series B funding round led by Menlo Ventures through their Anthology Fund (a strategic fund in partnership with Anthropic, connecting Astrix to the AI security ecosystem), alongside Workday Ventures and existing investors Bessemer Venture Partners (BVP), CRV, and F2 Venture Capital — bringing total funding to $85 million. Astrix's non-human identity security platform discovers, assesses, and remediates every non-human identity in an organization's cloud environment: API keys embedded in GitHub repositories, service account credentials with excessive permissions in AWS/GCP/Azure, OAuth app authorizations granted by employees to third-party SaaS tools, and AI agent identities (the new credential type created when enterprises deploy autonomous AI agents that need API access to business systems). As enterprises deploy AI agents that autonomously access Salesforce, Slack, Google Workspace, and internal APIs, the number of non-human identities per organization is growing 10-50x faster than human identities — creating a security gap that traditional identity and access management (IAM) tools built for human users cannot address.
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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