"The new Zscaler AI Security Suite addresses these challenges with three core functions. AI Asset Management provides CISOs and IT teams with a comprehensive overview of all AI apps, models, infrastructure, agents, and usage. This allows them to detect shadow AI, understand what data AI systems touch, and prioritize risks based on actual usage."
"This is dangerous. Recent figures from Zscaler show that most enterprise AI systems can be compromised in just 16 minutes. Critical vulnerabilities were found in 100 percent of the systems analyzed. This creates an urgent need for integrated security solutions."
"Finally, Secure AI Infrastructure and Apps allow application teams to protect AI development throughout the entire lifecycle. From automated AI red teaming and prompt hardening to runtime guardrails and continuous risk assessments during development and production. Zscaler CEO Jay Chaudhry previously emphasized that traditional security approaches are not designed for AI security."
Zscaler introduced an AI Security Suite to secure generative and agentic AI deployments by providing visibility into AI applications, models, and infrastructure. The platform aims to help CISOs and IT teams detect shadow AI, map what data AI systems touch, and prioritize risks based on actual usage. Recent figures show most enterprise AI systems can be compromised in 16 minutes and that critical vulnerabilities were found in 100 percent of systems analyzed, creating urgency for integrated solutions. The suite centers on AI Asset Management, Secure Access to AI with Zero Trust and prompt classification, and Secure AI Infrastructure and Apps with red teaming, prompt hardening, runtime guardrails, and continuous risk assessments.
Read at Techzine Global
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