Palo Alto Networks Secures Agentic AI with Prisma AIRS 3.0
Palo Alto Networks, the global cybersecurity leader, advances its AI
security platform with the launch of Prisma AIRS 3.0. As organisations transition toward a future
defined by autonomous agents, Prisma AIRS 3.0 secures the entire Agentic AI
lifecycle – enabling enterprises to move from simply observing AI interactions
to safely authorising autonomous execution.
The shift toward an AI-powered enterprise introduces systemic security challenges
– ranging from unmanaged Shadow AI to the critical new frontiers of agentic
identity, runtime security, and automated governance. While many enterprises
monitor what AI says, they remain blind to what AI does. Prisma AIRS 3.0 closes
this gap, providing visibility and securing agents from design to runtime as
they execute complex tasks independently.
Anand Oswal, Executive Vice President of AI & Network Security, Palo
Alto Networks
"Agentic AI represents a massive leap forward, moving beyond simple
conversation to autonomous action that will redefine productivity. But this
shift from “AI that talks” to “AI that acts” introduces new risks - from
unmanaged agentic identities to unpredictable runtime behaviors. Prisma AIRS
3.0 provides a comprehensive platform to discover, assess and protect agentic
AI, giving our customers the unique ability to confidently and securely scale
the AI-powered enterprise.”
Prisma AIRS replaces fragmented point solutions with a single platform to
manage the primary threats and risks of AI apps and autonomous agents. The new
capabilities allow teams to future-proof their operations as agent ecosystems
evolve:
· Discover AI Agents Wherever They Live. Organisations can now
instantly inventory AI agents, models, and connections across their entire
environment. Prisma AIRS identifies agents running in cloud environments, SaaS
platforms and locally on endpoints that traditional tools miss.
· Assess AI Agent Risk Continuously. Security teams can stop
guessing if an agent is safe. Agent Artefact Security maps out an agent’s
architecture and scans for vulnerabilities. AI Red Teaming for agents simulates
context-aware agentic attacks, discovers AI-related vulnerabilities, and
recommends runtime security policies.
· Protect AI Ecosystems in Real-Time at Scale. The AI Agent Gateway,
currently available in limited preview, provides a central control plane to
enforce agent runtime and identity security, governance and observability.
Following the close of the proposed Koi acquisition, Agentic Endpoint Security will offer the
visibility needed to secure various AI endpoint applications, empowering teams
to deploy tools like coding agents at speed without sacrificing safety.































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