The promise of AI is promising, but to realize its full potential, it is important to pay attention to the associated risks. Attackers are using AI to scale their attacks, so organizations need to deploy defenses ahead of time. As enterprises continue to integrate AI and large language models (LLMs) into their operations, it is becoming increasingly important to secure AI applications. Employees are embracing AI applications, and businesses across industries are gaining a competitive advantage through AI-driven applications.
To help enterprise customers deploy AI securely, Palo Alto Networks has launched the AI Security Design portfolio. Secure the use of generative AI and the development of enterprise AI applications by providing visibility, control, and protection against emerging risks and threats against artificial intelligence (AI). As the number of enterprises integrating AI grows, the portfolio prioritizes the integrity of the AI security framework from development to deployment, enabling enterprises to build and use AI-powered applications with confidence.
Enterprises will be able to create a secure AI ecosystem and realize the full potential of AI without compromising security through the following use cases:
· Secure use of generative AI applications: There is a growing trend for employees to use generative AI applications at work, and AI access security enables businesses to use AI tools with confidence. The product provides security teams with comprehensive visibility, application and data access control, and continuous monitoring of data risks.
· Strengthen the AI supply chain: Companies need to be aware of and correct possible risks. With Prisma Cloud AI Security Posture Management (AI-SPM), organizations can secure their AI ecosystem by discovering vulnerabilities and misconfigurations in models, applications, and resources. The product can enhance compliance and minimize data exposure, which in turn improves the integrity of AI security frameworks.
· Securing enterprise AI applications: Being able to view the various components of the AI application ecosystem, including AI applications, models, inference, and training datasets, is critical for businesses. AI runtime security helps organizations address this issue by protecting against evolving zero-day threats and specific AI threats, such as AI model and application data breaches, and preventing models from being misused and attacked.
AI runtime security is available now on Google Cloud and will be available on Amazon Web Services (AWS) and Microsoft Azure later in August. In addition, AI-SPM was released this week, and AI access security will be released on August 15.
