Own AI Securely with SANS
Artificial Intelligence. Real Security.
Own AI Securely: The SANS Secure AI Blueprint, published by SANS Institute, introduces a three-track framework (Protect AI, Utilize AI, Govern AI) for moving enterprise AI adoption from experimentation to secure, governed deployment at scale. The paper combines SANS' own SOC research with data from Gartner, AWS, Verizon, Deloitte, and other industry sources to show where AI security commitments are lagging behind adoption.
Key Findings:
Only 27% of CISOs have mapped their organization's AI controls to established security frameworks (Gartner, March 2025).
66% of boards report limited to no knowledge or experience with AI, and fewer than 1 in 3 organizations have a comprehensive AI governance framework in place (Deloitte). 74% of CEOs globally say they could lose their job within two years if they do not deliver measurable AI-driven business gains (Dataiku and Harris Poll survey).
45% of IT leaders now prioritize generative AI over cybersecurity in their budgets, while security tools receive only 30% of the focus (AWS survey).
68% of Fortune 2000 organizations already have AI in production, with many deployments mandated from above and little governance behind them (Mayfield survey).
AI-driven attack workflows now execute privilege escalation and lateral movement roughly 47X faster than human-speed benchmarks (SANS' analysis of MIT, Horizon3, and CrowdStrike research).
Over 75% of 2025 social engineering breaches involved pretexting or phishing content that showed signs of AI-assisted generation (Verizon Data Breach Investigations Report).
GenAI tools scored just 2 out of 4 in analyst satisfaction, ranking among the lowest-performing technologies in the SOC.
42% of SOCs use machine learning tools out of the box with no customization or workflow integration (SANS 2025 SOC Survey). A majority of SOCs still run with just 2 to 10 full-time analysts, a staffing level unchanged since SANS began tracking in 2017 (SANS SOC Survey).