AI and Security Landscape - AI is accelerating both the capabilities of attackers and the adoption of AI by companies, creating increased security risks, especially with current LLM models [1][2] - The need for security, predictability, and proper guardrails is imperative for AI model usage, with data leakage and inaccurate production being key concerns [4] - Enterprises are seeking visibility and control over AI usage, both sanctioned and unsanctioned, to manage data input and prevent leakage [4] - SentinelOne's AI offerings aim to enable secure adoption of generative AI by providing control, visibility, and automation to sanitize and filter data in real-time [3][6] Business Performance and Strategy - Deals exceeding $100,000 of annualized recurring revenue increased by 23%, reaching 1513, driven by SentinelOne's AI offerings [5] - SentinelOne has been building AI products for over a decade, deployed across tens of millions of devices and workloads [6] - SentinelOne Flex is a new contract vehicle providing customers with complete access to the platform and the flexibility to use services as needed, leading to increased platform adoption and consumption [7] AI Impact on Workforce - Generative AI is currently primarily used for narrow workforce and workflow automation tasks [9] - As AI becomes more accurate and secure, its applications are expected to expand beyond narrow tasks [9] - Establishing trust and predictability in AI systems is crucial, and SentinelOne is building AI security to enable safe AI deployment [10]
AI is accelerating what cyber attackers can do, security is incredibly important: SentinelOne CEO
CNBC Television·2025-08-29 22:09