Independent market research and analyst coverage on AI agent security, the agentic economy, and the governance infrastructure required for enterprise AI deployments.
Gartner
AI TRiSM — AI Trust, Risk, and Security Management
Gartner identifies AI TRiSM as a top strategic technology trend. Organizations that implement AI TRiSM controls will increase decision accuracy by eliminating 80% of faulty AI outcomes.
80%
Reduction in faulty AI outcomes with governance controls
McKinsey Global Institute
The State of AI — Governance Gap in Agentic Deployments
McKinsey research identifies governance and oversight as the primary barrier to agentic AI adoption at enterprise scale. Security and compliance concerns delay deployment by 6–18 months on average.
67%
Of enterprises cite AI governance gaps as primary adoption blocker
CISA / NSA
Guidelines for Secure AI Deployment
CISA and NSA joint guidance establishes baseline security requirements for AI system deployment including identity verification, access controls, and continuous monitoring — all mapped to RuntimeAI capabilities.
2024
Joint guidance published — compliance deadlines now active
Stanford + MVP Ventures (SACR)
10-Layer AI Agent Governance Framework
The SACR framework identifies 10 mandatory governance layers for enterprise AI agent deployments. Research found most vendors cover only 3–5 layers, leaving critical gaps in runtime enforcement and compliance automation.
10/10
Layers covered by RuntimeAI — only vendor at full coverage
IDC Research
AI Security Market Forecast 2024–2029
IDC projects the AI security market to reach $46B by 2029, growing at 32% CAGR. Agentic AI governance is the fastest-growing segment, driven by enterprise adoption of autonomous AI systems.
$46B
AI security market by 2029 (IDC)
NIST
AI Risk Management Framework (AI RMF 1.0)
NIST AI RMF establishes the governance, mapping, measurement, and management framework for AI risk. RuntimeAI's Control Plane maps directly to NIST AI RMF 1.0 controls for continuous compliance monitoring.
SOC 2
+ FedRAMP + NIST AI RMF mapped controls