Lasso Security
End-to-end security for generative AI and agents

Security platform for AI models and the ML lifecycle
HiddenLayer is a credible, well-funded specialist in model-centric AI security, and its breadth, discovery, supply-chain scanning, runtime defense, and attack simulation, plus mappings to MITRE ATLAS and OWASP, fit enterprises with mature AI governance needs. Notably, it remains independent as of August 2026 while several competitors (Lakera, Prompt Security, Protect AI, Robust Intelligence) have been acquired, which some buyers will see as a differentiator and others as acquisition risk. Pricing is enterprise custom with no public tiers or free plan, so it is aimed at organizations that can engage in a sales process; confirm scope and pricing directly.
HiddenLayer is an independent AI security company whose AISec Platform protects ML models across discovery, supply-chain security, runtime defense, and attack simulation, with detections mapped to MITRE ATLAS and OWASP. Founded in 2022 in Austin and backed by roughly $56M (including a $50M Series A), it targets enterprises and public-sector buyers. Pricing is enterprise custom; it remains independent as of August 2026.
HiddenLayer focuses on protecting machine-learning models from adversarial threats such as model theft, evasion, data poisoning, and prompt injection. Its AISec Platform (version 2.0 announced in 2025) spans four areas: AI discovery (inventorying models and AI assets), AI supply-chain security (scanning models and artifacts for risks), runtime defense (detecting and blocking attacks against deployed models), and attack simulation (red-teaming AI systems). A distinctive early product was model-scanning and runtime monitoring that treats the model itself as an attack surface. The company sells primarily to enterprises and public-sector organizations with meaningful AI deployments and compliance requirements, mapping detections to frameworks like MITRE ATLAS and OWASP. It has pursued government work, including a 2025 Missile Defense Agency contract award, reflecting a focus on high-assurance environments. HiddenLayer was founded in 2022 and is based in Austin, Texas. It raised a $50M Series A in 2023 led by M12 (Microsoft's venture fund) and Moore Strategic Ventures, with participation from Booz Allen, IBM, and Capital One ventures arms, bringing total funding to roughly $56M. Unlike several peers, HiddenLayer remains an independent company as of August 2026. Pricing is enterprise and custom.
HiddenLayer is an independent AI security company protecting ML models across discovery, supply-chain security, runtime defense, and attack simulation, with detections mapped to MITRE ATLAS and OWASP. Founded in 2022 in Austin and backed by about $56M including a $50M Series A, it targets enterprises and government. Pricing is enterprise custom. It remains independent as of August 2026 while several peers were acquired.
HiddenLayer was founded in 2022 and is headquartered in Austin, Texas, focused on securing machine-learning models against adversarial threats. It has built the AISec Platform and pursued both commercial and public-sector customers.
The company raised a $50M Series A in 2023 led by M12 (Microsoft's venture fund) and Moore Strategic Ventures, with Booz Allen Ventures, IBM Ventures, and Capital One Ventures participating, bringing total funding to roughly $56M. It remains independent as of August 2026.
The AISec Platform (2.0, announced 2025) covers AI discovery (asset inventory), AI supply-chain security (scanning models and artifacts), runtime defense (detecting/blocking attacks on deployed models), and attack simulation (red-teaming). Detections are mapped to industry frameworks like MITRE ATLAS and OWASP.
It integrates with ML pipelines, model registries, CI/CD, and SIEM/SOAR, and supports high-assurance and public-sector deployments.
Enterprises and public-sector organizations with significant AI/ML deployments and compliance requirements that need model-centric security across discovery, supply chain, and runtime.
ML engineers and security engineers running discovery, scans, and runtime monitoring.
CISOs, security architects, and AI/ML platform leaders in enterprise and government.
AI security researchers, compliance teams, and MITRE ATLAS/OWASP-aligned practitioners.
A large enterprise or public-sector organization with substantial AI deployments needing comprehensive, model-centric security and compliance alignment.
HiddenLayer raised roughly $56M total, including a $50M Series A in 2023 led by M12 and Moore Strategic Ventures, with Booz Allen, IBM, and Capital One venture arms participating. It remains independent as of August 2026.
Yes. As of August 2026, HiddenLayer remains an independent company, unlike several peers in AI security that have been acquired.
Its 2.0 platform spans AI discovery, AI supply-chain security, runtime defense of deployed models, and adversarial attack simulation (red-teaming).
It targets model-centric threats such as model theft, evasion, data poisoning, and prompt injection, with detections mapped to MITRE ATLAS and OWASP.
Yes. It has pursued public-sector work, including a 2025 Missile Defense Agency contract award, reflecting a focus on high-assurance environments.
No. HiddenLayer uses enterprise custom pricing with no public tiers or free plan; you engage its sales team for a quote.
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