Learn how data security posture management (DSPM) and AI security posture management (AI-SPM) can help you address key cloud security challenges.
The cloud has become the lifeblood of modern businesses. Its flexibility, scalability and ever-expanding range of storage technologies have fueled a data explosion. From object storage for massive media archives to NoSQL databases for real-time analytics, organizations are embracing a diverse cloud data landscape.
Artificial intelligence (AI) is another key driver behind the ever-increasing volume and variety of data stored in the cloud. As AI applications become more sophisticated, they require more data to learn and function effectively.
Together, this creates a virtuous cycle — the more data stored and used the greater the range of AI use cases, which attract even more users. But with each new user, data type and storage solution, the cloud attack surface expands.
Traditional, perimeter-based security struggles in the dynamic world of cloud storage. Data in the cloud is constantly on the move, residing in various locations and formats. Further, with the rapid improvements in AI technology, many organizations are now using and/or creating new proprietary AI models based on their data to deliver novel insights and innovations.
The cloud’s unique challenges and opportunities for data and AI make it crucial for organizations to address the full spectrum of security responsibilities that accompany collecting, storing and using data. These responsibilities include automatically and continuously scanning data assets, discovering and monitoring sensitive data and alerting on any potential risk. To address these challenges, new solutions such as data security posture management (DSPM) and AI security posture management (AI-SPM) are becoming integral to many organizations.
Most cloud security solutions offer numerous valuable tools, but lack the proper data analysis needed to help practitioners prioritize the organization’s most sensitive assets. Though such cloud security solutions may excel at securing the cloud environment itself, they fail to address the data and AI resources residing within. Conversely, though standalone DSPM and AI-SPM services act as powerful spotlights to illuminate data and AI resources, if they’re not combined with broader cloud security measures, they can't prevent unauthorized access or breaches that exploit vulnerabilities in the cloud infrastructure.
In order to gain robust protection for your organization, you need DSPM and AI-SPM to pinpoint your valuable data and AI resources and cloud security solutions to build a secure vault around them.
To help organizations address their data and AI security needs, Tenable Cloud Security now has fully integrated DSPM and AI-SPM capabilities.
Source: Tenable, October 2024
Tenable Cloud Security’s integrated DSPM and AI-SPM features offer significant advantages over standalone products. Users are empowered with deep data discovery and classification, ensuring sensitive information is identified and prioritized for protection. This intrinsic visibility allows for focused security measures and simplifies compliance efforts. We’ve also further enhanced Tenable’s best-in-class cloud infrastructure entitlement management (CIEM) capabilities to enforce AI entitlement management, enabling organizations to ensure only users with the correct access policies can access proprietary AI models.
The DSPM and AI-SPM features integrated into Tenable Cloud Security, a cloud native application protection platform (CNAPP), make it a force multiplier for securing your organization.
The future of cloud security lies in a unified approach that addresses the full spectrum of threats. CNAPPs are evolving to become the central nervous system of cloud security, offering a single pane of glass for managing vulnerabilities, workload protection and access control. The integration of DSPM and AI-SPM capabilities into Tenable Cloud Security represents a significant step toward this vision. As CNAPP platforms evolve, we can expect a future where cloud security becomes as seamless and scalable as the cloud itself.
Liat Hayun is the VP of Product and Research at Tenable Cloud Security. Prior to joining Tenable, Liat co-founded and served as CEO of Eureka Security, a data security company that was acquired by Tenable. Before co-founding Eureka Security, Liat spent over a decade leading cybersecurity efforts at the Israeli Cyber Command and at Palo Alto Networks. As VP of Product Management at Palo Alto Networks, Liat led the development of Cortex XDR and the company’s managed threat hunting service.
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