The synergy between artificial intelligence (AI) and a platform approach enhances the capabilities of AI, the security operation efficiency and delivers better security outcomes, according to Tanya Shastri, SVP of product management for network security platform and product operations at Palo Alto Networks.
The security giant unveiled its proprietary AI system at the RSA Conference 2024, which combines generative AI (genAI), machine learning (ML) and deep learning (DL) capabilities. It is built on the vendor’s cybersecurity dataset and proven playbooks and designed for guided automation and actionable insights.
“Platformization and AI go hand in hand, strengthening each other,” Shastri said during Palo Alto Networks Ignite on Tour Denver.
“We’re bringing various byproducts together on a single platform. We’re integrating these products together, and also getting all the data from all these products in the same place, so that we can run AI … on that entire set of data. So that really delivers the outcomes,” she added.
Shastri told SDxCentral at the event that both AI and platformization independently can generate value and contribute to security improvements. However, their combined application amplifies these benefits significantly, “because AI is essentially only as good as the data you give it.”
Platformization consolidates data from various sources into one place, and then users can apply AI capabilities to identify patterns, anomalies and correlations across products and platforms to derive meaningful insights.
However, with a platform approach, users can achieve this closed-loop conversation and end-to-end view with genAI, Shastri said, adding for example, “you deploy 200 servers in the cloud, you see 100 alerts there. But you want to know that you actually can fix it in one place and then 100 alerts can go away.”
“That’s how I feel like they both complement each other. The platform complements because you get all the data that AI can apply and then the AI insight or the remediation can be done again in one place if it’s in the platform,” she said.
How Palo Alto Networks integrates AI and platformization
Palo Alto Networks integrates Precision AI with all of its existing and new capabilities across its platforms to address use cases including countering AI-powered threats and attacks, securing AI use and simplifying security with AI.
Shastri explained the company’s three strategies to integrate Precision AI with its platform approach, including the following:
- Securing AI by design: Palo Alto Networks offers AI access security, runtime security, AI security posture management and advanced DNS security for organizations’ AI usage, consumption and AI application development.
- Embedding Precision AI across platforms: The company integrates Precision AI into all its platforms, including the Strata zero-trust/network security platform, Prisma Cloud platform and Cortex security operations center (SOC) platform. This approach enables users to apply Percision AI to the consolidated data across all these products.
- Simplifying cybersecurity: Palo Alto Networks introduced three new genAI assistants for its three platforms, designed to offer actionable insights and guided recommendations and automation.
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