Google Cloud and Palo Alto Networks on Scaling AI With Unified Safety
As organizations construct synthetic intelligence-enabled functions throughout complicated cloud ecosystems, many face challenges in securing these deployments. A platform-based method may help defend the total life cycle of AI, from knowledge ingestion to mannequin runtime, whereas lowering fragmentation and complexity.
By constructing protections into the structure, organizations keep away from retrofitting safety and cut back the danger of silos.
Ming Kai Lee, director and associate engineering for APAC at Google Cloud Asia Pacific, mentioned platform-based safety solves the visibility drawback to a big extent. “Any single resolution that is not platform-based will discover it tough to achieve unified visibility into the end-to-end enterprise AI deployment,” Lee mentioned. Solely when there may be visibility can a company “outline constant insurance policies that may be enforced throughout your entire AI setting.”
Siddharth Deshpande, director of business options for JAPAC at Palo Alto Networks, mentioned that extensibility is important to maintain safety consistent with evolving AI threats. “We do not wish to be deploying one other set of level merchandise that aren’t related with the remainder of the enterprise safety stack,” Deshpande mentioned. “No matter we’re doing to guard these AI functions must be part of present platforms … the extent of safety protections shouldn’t change regardless of what deployment selections you make.”
On this video interview with Data Safety Media Group, Lee and Deshpande additionally mentioned:
- Why securing AI at runtime requires built-in prevention;
- How platform-based safety reduces operational complexity in multi-cloud environments;
- The function of Google’s Safe AI Framework in creating coverage consistency and resilience.
Lee leads the associate engineering workforce in APAC. Previous to becoming a member of Google Cloud, he was the vice chairman for APAC gross sales engineering at Juniper Networks. Earlier than Juniper, he was with Dell Applied sciences, the place he spent 15 years in numerous technical management positions.
With greater than 20 years of expertise within the expertise and cybersecurity domains, Deshpande leads the ecosystems and business options workforce for the Asia Pacific and Japan area.
