ai-risk-management
(7)
Monitaur
Monitaur is a Boston-based B2B software company that builds an AI governance platform for highly regulated industries, most notably insurance and financial services. Its 'policy-to-proof' approach helps enterprises define AI policies, inventory and manage models, and automatically generate the evidence, monitoring, and audit trails that businesses, regulators, and consumers need to trust high-impact AI. Founded in 2019 by Anthony Habayeb, Andrew Clark, and Michael Herman, the company raised a $6M Series A in 2024 and has been recognized by Forrester as a Customer Favorite in AI governance.
Virtue AI
Virtue AI is a San Francisco-based enterprise AI security company that helps organizations deploy generative AI and AI agents safely. Founded in 2024 by AI-safety researchers from Berkeley, Stanford, and Chicago, its platform combines automated red-teaming (VirtueRed), real-time multimodal guardrails (VirtueGuard), and an end-to-end agent security suite (AgentSuite) to catch prompt injections, jailbreaks, data poisoning, and policy violations before they reach production. The company raised $30 million in seed and Series A funding and counts frontier AI labs and enterprises in finance, healthcare, and IT among its customers.
ALIGNMT AI
ALIGNMT AI is a New York-based company building an enterprise AI governance and risk-monitoring platform for healthcare. Founded by MIT-trained machine-learning scientist Andreea Bodnari, it helps health systems, payers, and health IT vendors deploy AI while automating compliance with frameworks like ONC, ISO 42001, the NIST AI RMF, and the EU AI Act. Its platform continuously monitors production AI systems, audits for bias and fairness, and generates the audit trails regulators, boards, and customers demand - reportedly cutting compliance audit-prep time by up to 50%.
Enkrypt AI
Enkrypt AI is a Boston-based AI security company that builds a control layer between enterprises and the large language models and AI agents they deploy. Founded in 2022 by Yale PhDs Sahil Agarwal and Prashanth Harshangi, its Sentry platform combines automated red teaming, runtime guardrails, and compliance monitoring to detect vulnerabilities like prompt injection, jailbreaks, bias, and data leakage before and after models reach production. The company also publishes a free LLM Safety Leaderboard and widely cited red-team research, including a January 2025 report finding DeepSeek-R1 far more likely than rivals to produce harmful content.
SolidCore.ai
SolidCore.ai is a Menlo Park cybersecurity startup building the security and governance layer for enterprise generative AI. Founded in 2024 by HyTrust veteran Eric Chiu and former Microsoft security architect Hemma Prafullchandra, its platform captures an immutable record of every LLM prompt, response, and configuration inside a customer's own cloud, then continuously monitors for misconfigurations, policy violations, and risky usage while generating audit-ready evidence for frameworks like NIST AI RMF, ISO 42001, and the EU AI Act. The company emerged from stealth in September 2025 with $4M in seed funding led by Runtime Ventures.
Andreea Bodnari
Andreea Bodnari is the founder and CEO of ALIGNMT AI, a New York and Boston based startup building governance-first compliance infrastructure for healthcare AI. An MIT-trained machine learning scientist who built and scaled the B2B healthcare AI division at Google Cloud and served as a product VP at UnitedHealth Group, she now runs a company that monitors AI risk in real time across the model lifecycle. In August 2025 ALIGNMT AI emerged from stealth with a $6.5M seed round led by AIX Ventures. Bodnari sits on national AI safety bodies, has reviewed for the JAMIA journal for over a decade, and argues that transparency is the price of trust in clinical AI.
RiskOpsAI
RiskOpsAI (formerly OptimEyes AI) is an AI/ML-driven integrated risk modeling and decisioning platform that helps Fortune 2000 and Global 500 organizations discover, measure, prioritize, predict and optimize cyber risk, data privacy, third-party threat exposure and regulatory compliance. Its patented, AI-native risk quantification aggregates data from multiple risk sources into a single source of truth, giving CXOs a near real-time, transparent view of enterprise-wide risk and the actions to remediate it.