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3 ways Cisco's DefenseClaw aims to make agentic AI safer
Cisco enters a crowded field of security firms offering agentic oversight. Agentic artificial intelligence, the kind that will automatically watch your email or book your flights, has been an overnight sensation, capturing the imagination but also presenting massive security risks. A natural
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Cisco debuts new AI agent security features, open-source DefenseClaw tool - SiliconANGLE
Cisco debuts new AI agent security features, open-source DefenseClaw tool Cisco Systems Inc. is rolling out a set of new features designed to help companies secure their artificial intelligence agents. The product enhancements made their debut today at the RSAC 2026 Conference. The networking
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Cisco Unveils Zero Trust For AI Agents: 5 Things To Know
At RSAC 2026, the tech giant is extending its zero trust access capabilities to AI agents, as a way to enable secure agentic adoption in the workforce, Cisco's Tom Gillis tells CRN. Cisco Systems is aiming to provide a massive boost to the adoption of AI agents in the workforce with a new set of
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Cisco Unveils New Security Innovations for the Emerging Agentic AI Workforce
Cisco is also introducing the LLM Security Leaderboard, a comprehensive resource for evaluating model risk and susceptibility to adversarial attacks. By providing transparent evaluation signals, this leaderboard contextualizes model performance metrics against evaluations of how models handle
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Cisco Reimagines Security for the Agentic Workforce
With end-to-end security across AI actions, Cisco is helping organizations confidently deploy AI agents at scale * Cisco extends Zero Trust Access to agents with agent discovery in Cisco Identity Intelligence, agentic Identity and Access Management (IAM) in Duo, and model context protocol (MCP)
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Cisco unveiled DefenseClaw, an open-source secure agent framework, and Zero Trust for AI agents at RSA Conference 2026. The networking giant aims to address a critical adoption barrier: only 5% of enterprise agentic AI has moved from testing to production. DefenseClaw scans code before execution, detects threats at runtime, and automatically blocks risky operations within 2 seconds.
Cisco announced a comprehensive suite of AI security innovations at the RSA Conference 2026 in San Francisco, directly addressing why only 5% of enterprise agentic AI has transitioned from testing to production
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. The networking and security giant introduced DefenseClaw, an open-source secure agent framework, alongside Zero Trust for AI agents and enhanced capabilities across its security portfolio2
. According to DJ Sampath, Cisco's senior vice president of AI and software platform business, DefenseClaw serves as the "operational layer" for agentic security that enables organizations to move from "zero to governed claw in under five minutes"1
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Source: CRN
DefenseClaw performs three critical security functions to protect against vulnerabilities in AI agents. First, it scans every piece of code before execution, including every skill, tool, plugin, and code generated by the agent using tools like Cisco's open-source skill-scanner
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. Second, the framework detects cybersecurity risks by scanning all messages entering and leaving the agent at runtime1
. Third, DefenseClaw automatically blocks risky operations, revoking sandbox permissions and quarantining files within 2 seconds without requiring agent restarts2
. The tool integrates with Nvidia's OpenShell sandbox and sends telemetry to Splunk through a pre-packaged connector, ensuring end-to-end security across AI actions2
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Source: ZDNet
Cisco extended its Zero Trust Access capabilities to the agentic AI workforce, representing what Tom Gillis, senior vice president and general manager for Cisco's infrastructure and security group, calls a "big step forward" for the industry
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. The fundamental shift moves security from access control to action control, providing task-based permissions for agentic activities rather than long-lived credentials3
. Organizations can now register AI agents in Duo IAM and map them to accountable human workers, while Cisco Identity Intelligence discovers agentic identities and related security issues3
. The platform enforces strict policy enforcement through MCP servers, enabling administrators to define rules specifying which tools agents may access and how they may interact with each tool2
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Source: DT
Cisco introduced AI Defense: Explorer Edition, a free version designed to help developers test model and application resilience against jailbreaks and adversarial attacks before deployment
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. The tool includes dynamic red teaming for agents, model and application security testing, and streamlined security reporting3
. Partners can use this discovery tool to demonstrate vulnerabilities in AI agents to customers, creating opportunities for engagement3
. Additionally, Cisco launched the LLM Security Leaderboard, which evaluates model risk and susceptibility to adversarial attacks by contextualizing performance metrics against how models handle malicious prompts and manipulation strategies4
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Cisco leverages Splunk as the monitoring system of record for all agents, with every agent "born observable" and streaming structured events into Splunk the moment it comes online
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. The company announced a Guided Response Agent, due in alpha release soon, designed to help security operations center teams move from detection hypothesis to production in minutes1
. New Splunk AI innovations transform security operations by automating response workflows and enabling teams to detect and respond to AI incidents at machine speed5
. The platform can now generate an inventory of all network assets complete with data on how they interact with one another2
.The security innovations directly address the critical adoption barrier facing enterprises experimenting with AI agents. In Cisco's recent survey of major enterprise customers, 85% reported experimenting with AI agents, yet only 5% had moved agentic technology into production
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. According to the 2025 Cisco Talos Year in Review, attackers increasingly target components that authenticate users and enforce access decisions, a trend expected to accelerate with agentic workloads5
. DefenseClaw will be available on GitHub starting March 27, enabling rapid deployment of the open-source secure agent framework1
. Organizations should monitor how code scanning and Identity and Access Management (IAM) capabilities evolve to handle the unique challenges of securing autonomous agents that act rather than simply respond to queries.Summarized by
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