Torq closed a $140 million Series D funding round at a $1.2 billion valuation, marking the cybersecurity platform’s entry into unicorn territory as enterprises accelerate adoption of autonomous AI agents for security operations.

The round positions Torq as the definitive leader in the emerging AI SOC (Security Operations Center) category, where traditional reactive security models are being replaced by agentic AI systems capable of autonomous threat investigation and response at enterprise scale.

Cyera raised $400 million in a Series F funding round at a $9 billion valuation, addressing what the company calls “probably the biggest security hole” in enterprise AI adoption: legacy security models that are fundamentally incompatible with autonomous, intent-driven AI agents.

The funding announced January 8 positions Cyera as the leading player in a nascent but critical infrastructure category—agentic AI security—as enterprises struggle to balance AI acceleration with data protection. Founded by Israeli Military Intelligence veteran Yotam Segev, Cyera has now raised over $1.7 billion while securing 20% of the Fortune 500 as customers.

LMArena raised $150 million in Series A funding at a $1.7 billion valuation, nearly tripling its worth in eight months on the back of surging demand for trustworthy AI model evaluation infrastructure.

The UC Berkeley research project turned commercial platform addresses a critical enterprise bottleneck: how do you know which AI model actually performs best for your specific use case? While lab benchmarks show theoretical capabilities, LMArena’s community of 5+ million monthly users provides real-world performance data that enterprises need for deployment confidence.