AI security focus of new solutions from Palo Alto Networks and CrowdStrike

The security of both the data to feed AI solutions, as well as the underlying models and agents themselves, is an area of increasing focus by many organisations. In response security suppliers are developing new solutions to address this area of burgeoning demand. The latest announcements come from platform leaders Palo Alto Networks and CrowdStrike, who have both just announced new solutions aimed at enhancing their AI security propositions.

Palo Alto Networks has unveiled Prisma AIRS, an AI security platform designed to offer protection for the entire enterprise AI ecosystem, including applications, agents, models, and data. Prisma AIRS provides several key security capabilities, including AI model scanning to detect vulnerabilities, posture management to monitor permissions and data exposures, AI red teaming to simulate attacks against AI systems, runtime security to guard against evolving threats during operation, and security for AI agents, including those built with no-code or low-code tools.

AI model scanning enables organisations to assess their AI models for vulnerabilities such as tampering, malicious scripts, and deserialization attacks. This component aims to help organisations adopt AI models safely by identifying security risks before deployment.

Palo Alto has also announced it has agreed to acquire Protect AI, a company focused on the security of artificial intelligence and machine learning applications, in a move to further bolster its suite of AI security offerings, likely feeding into Prisma AIRS.

CrowdStrike meanwhile has introduced a collection of new capabilities aimed at providing real-time data protection across cloud infrastructures, AI models, endpoints, and SaaS applications. The set of products and features are designed to address the evolving methods by which adversaries target and extract sensitive information. One of the key advances highlighted by CrowdStrike is Falcon Cloud Security's ability to inspect AI models for malware, backdoors, and other alterations before they are deployed in production environments. Security teams will receive real-time visibility into all AI workloads within the cloud, supporting proactive risk management in an area seeing rapid growth and increasing interest from threat actors.

Posted by: Simon Baxter at 09:19