Dan Benjamin, Head of Data, Identity and AI Security at Prisma Cloud, discusses the new AI-SPM category, building AI and data inventories, understanding AI access, and the role of DSPM in effective AI security controls. They compare AISPM vs CSPM, tackle data security in the world of AI, and highlight the maturity curve for CISOs to consider.
DSPM technology is crucial for AI security governance and operational efficiency.
AI SPM focuses on establishing governance controls and data security measures for AI technologies.
Deep dives
Importance of DSPM Technology in AI Security
DSPM technology plays a vital role in ensuring AI security by helping organizations identify and manage their AI models. It serves as a foundation technology for AI security posture management, enabling the governance of AI technologies across different cloud services. By automating processes to address issues and prioritize critical security concerns, mature companies enhance their operational efficiency and ensure effective protection of AI deployments.
Evolution of AI SPM and Data Security Challenges
AI SPM, or AI Security Posture Management, addresses the complexities of securing AI technologies and data. It involves establishing governance controls, ensuring compliance, and mitigating risks associated with AI models. Organizations must focus on building AI and data inventories, understanding data usage, and implementing stringent data security measures to prevent data leaks and breaches. Leveraging SBM technologies is essential for effective risk assessment, compliance monitoring, and data protection.
Ensuring Maturity in Security Programs for AI
Developing a mature security program for AI involves establishing comprehensive data inventories, addressing data security risks, and automating issue resolution processes. By decentralizing security operations and distributing responsibilities to specialized team members, organizations can effectively manage security concerns across a diverse range of AI services and data stores. Prioritizing critical security challenges, such as access governance, AI security posture management, and data protection, enables organizations to scale their security measures efficiently in the rapidly evolving AI landscape.
What is the future of AI Security and Data Protection? At AWS re:Inforce in Philadelphia this year, Ashish spoke to Dan Benjamin, Head of Data, Identity and AI Security at Prisma Cloud about the new category of AI-SPM (Artificial Intelligence Security Posture Management) and why does it fit within all the other toolings organisations have. They spoke about the importance of building an AI and data inventory, understanding AI access, and the critical role of DSPM (Data Security Posture Management) in creating effective AI security controls.