Network Security with Palo Alto NetworksAI SolutionsPalo Alto Prisma SASEBlogPalo Alto Networks Prisma AccessPalo Alto Next-Generation FirewallsPalo AltoAI & Data
Blog • • 4 minute read

Demystifying Precision AI: How Palo Alto Networks Is Redefining Cybersecurity

Precision AI by Palo Alto Networks revolutionizes cybersecurity by integrating machine learning, deep learning and generative AI for real-time, high-confidence threat protection.

As cyber threats grow in complexity and scale, Precision AI by Palo Alto Networks marks a major shift in cybersecurity by blending advanced artificial intelligence techniques with data-rich threat intelligence to provide real-time, high-confidence protection. Palo Alto Networks' recent AI launch represents a transformative approach that embeds artificial intelligence deeply across its security platforms for networking, cloud development and the security operations center. Precision AI's framework combines machine learning, deep learning and generative AI to create a proactive, integrated defense system specifically tailored to cybersecurity, enabling organizations to detect and prevent threats faster and more accurately than ever.

At the heart of Precision AI is a fusion of three powerful AI techniques:

  • Machine learning enables the system to analyze and learn from historical and real-time threat data, predicting attack patterns based on nuanced indicators.
  • Deep learning builds on this foundation, creating predictive models that can identify anomalies and detect attacks as they unfold.
  • Generative AI adds an additional layer, allowing Precision AI to simplify and translate vast amounts of threat intelligence into actionable insights.

This user-centric feature reduces incident response time and enhances decision-making, making it easier for security teams to act on complex data.

Advanced CDSS

A central feature within the Precision AI umbrella is the advanced Cloud-Delivered Security Services (CDSS). These include Advanced Threat Protection (ATP), Advanced Wildfire (AWF), Advanced URL Filtering (AURL), and Advanced DNS Security (ADNS). All CDSS leverage data from over 70,000 Palo Alto Networks customers to provide real-time, AI-driven threat protection across cloud environments. By applying machine learning and deep learning to this expansive dataset, CDSS prevents zero-day attacks, intercepts command and control (C2) threats, and mitigates DNS hijacking — all in real time. CDSS is part of the larger goal to create a "network effect" in threat prevention where shared intelligence across a massive network enhances security outcomes for all users no matter if they're behind a Next Generation Firewall, a mobile user or remote network using Prisma Access, or a BYOD device using Prisma Access Browser.

AI Access Security UI

Another critical component, AI-Access Security, is designed to help organizations manage the rapid rise of generative AI applications in the workplace. With employees increasingly using AI tools, Palo Alto Networks' AI-Access Security provides a zero trust framework, giving organizations visibility and control over AI app usage. This system ensures that only sanctioned applications are accessed, while sensitive data is scanned and protected. By applying security policies that align with organizational standards, AI-Access Security enables enterprises to adopt AI responsibly, reducing risks associated with unauthorized data exposure no matter where the user is located.

AI Runtime Security UI

For AI applications in active operation, AI-Runtime Security focuses on protecting models and data during runtime. This component addresses a range of vulnerabilities, from prompt injection to data leaks, that can emerge after AI tools are deployed. By using predefined data patterns and real-time monitoring, AI-Runtime Security defends applications against these threats as they happen. Runtime security is essential in the AI era, where rapid deployment of models often leaves applications exposed to advanced attack vectors. AI-Runtime Security ensures that sensitive workloads are shielded, securing both the applications and underlying data against dynamic cyber threats.

AI-SPM UI

Finally, AI Security Posture Management (AI-SPM) allows organizations to proactively assess and manage risks within their AI ecosystems. AI-SPM provides end-to-end visibility, identifying vulnerabilities in AI models, data pipelines, and cloud environments. Through real-time assessments and automated remediation, AI-SPM helps organizations align their AI usage with regulatory standards and internal policies. This proactive approach enables enterprises to manage their AI assets with confidence, mitigating risks before they can be exploited.

Together, these components of Precision AI create a comprehensive defense-in-depth approach, securing every aspect of AI usage from development to deployment and beyond. By embedding AI across its portfolio, Palo Alto Networks enables organizations to counter increasingly sophisticated threats with speed and precision. Precision AI's combination of cloud-driven services, real-time security and proactive risk management empowers companies to innovate safely in an AI-driven world. Precision AI stands as a game-changer, allowing organizations to leverage AI for both operational efficiency and enhanced cybersecurity.

Stay tuned for more Precision AI content and reach out to your account team to find out more.

Technologies