Securing your AI-powered network transformation: A guide for C-suite leaders

Today, criminal entities are able to mount their exploits quicker than ever before. Their ability to have their exploits work at machine speed means that network security must also be working at machine speed. This puts tremendous pressure across your network’s security stack to identify, isolate, and remediate incidents as they occur. Now we must measure resolution in minutes or seconds.

Threats have historically been analyzed in a siloed manner, where the exploit was taken into a protected environment (sandbox) and analyzed, and a solution was produced and distributed. Not machine speed.

Clearly, there is a need for change, for leveraging the advances provided by AI which increases visibility and accelerates identification of threats. By sending user traffic through the network security infrastructure, the application of AI and Machine Learning (ML) on the traffic makes it possible to find the threats and block them inline.

PLATFORMIZATION LEVERAGING AI

The unified security stack, platform approach, brings to the forefront the knowledge afforded by the Palo Alto Networks global footprint. This obviates the myopic vision that the industry has historically embraced, point solution products.

The opportunity which AI presents is amazing, our ability to understand the risks and threats increases as the information becomes a part of our corpus. This corpus permits us to implement generative AI in a powerful manner across the entire suite of our offerings. In doing so, the accuracy of identifying threats is not only increased, the ease of use and understanding follows, with a single pane of glass view.

With the natural language processing provided by the AI/ML the expected acceleration of risk identification and remediation is evidenced. Your information security team no longer must be solely versed in the unique cybersecurity nomenclature, but they are also able to ask questions along the lines of “What is the risk or threat being presented?” or “What are the recommended paths to remediation?” or “What processes may need adjusting?” and have the answers provided. It is important to emphasize that with the unified security stack, the implementation is ordered once and implemented across the infrastructure, addressing all areas affected. The power of natural language engagement and generative AI implementation in the correct manner provides visibility into the root cause and pathways to remediation, which is the desired destination. 

Yet not all security platforms are created equal. The platform must be innovative, it must be comprehensive, it must be integrated, and it must be able to operate in real-time. These four components are key to the platform approach embraced by Palo Alto Networks.

INNOVATED TRANSFORMATION

In sum, the time for transformation is today, the advances in understanding the power of AI have arrived, and the ability to bring speed, and clarity to address threats known and unknown are in hand. The ability to segment incidents and problems is now possible resulting in the reduction of information technology team escalations.

Leaders do not eschew innovation; indeed, they embrace it as it provides a competitive advantage and the opportunity to leapfrog and disrupt one’s sector. Adversaries are also innovative and their reduction of time from compromise to exploitation from 44 days to hours provides us with sufficient evidence of their level of innovation. We are not, however, operating in a vacuum and we at Palo Alto Networks are blessed with visibility enabling us to employ AI strategically and comprehensively in our solution.

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