Reports
AI-generated structured vendor updates
Cisco Launches AI Agent Security Suite with Proactive Built-in Protection
Cisco introduced AI Defense Explorer Edition for red team testing, Agent Runtime SDK for policy embedding, open-source DefenseClaw framework, and extended zero trust to AI agents. The multi-layered approach shifts from reactive to proactive built-in security for AI agents.
Cisco Offers Free AI Algorithmic Red Teaming Tool to Engage Developer Ecosystem
Cisco launches AI Defense: Explorer Edition, offering free algorithmic red teaming capabilities covering 200+ risk subcategories and major AI frameworks. The tool completes security assessments in 20 minutes with comprehensive risk reporting, targeting early-stage AI agent deployment risks.
Cisco Extends Zero Trust Security to AI Agent Ecosystem
At RSA 2026, Cisco introduced security innovations for AI agents, extending Zero Trust Access with agent discovery in Identity Intelligence, agentic IAM in Duo, and MCP enforcement in Secure Access SSE. It launched AI Defense: Explorer Edition for self-serve testing and DefenseClaw open source framework to automate security deployment.
Cisco Extends Zero Trust to AI Agents and Launches AI Defense Tools
Cisco extends zero trust access to AI agent identity management via Duo IAM and Secure Access SSE for granular control. Launches AI Defense Explorer for self-service red teaming and security validation, and open-sources DefenseClaw framework with NVIDIA sandbox integration. Splunk SOC adds AI agent capabilities for automated operations.
Check Point Launches AI Defense Plane for Autonomous AI Agent Security
Check Point introduces AI Defense Plane, a solution providing unified security monitoring and control for AI workloads across cloud, data center, and edge. It focuses on real-time detection of malicious prompt injection and data leakage, with automated policy enforcement for threat isolation.
Cisco Releases AI Security Incident Response Architecture, Revealing Traditional Security Model Failures
Cisco proposes a four-layer AI security defense architecture covering prevention, detection, containment, and resilience, emphasizing behavioral monitoring over static data. The framework includes training data governance, AI-SPM, runtime guardrails, and data provenance infrastructure. Only 13% of enterprises are fully prepared for AI security.
Cisco Deepens Security Channel Partnership via Microsoft Marketplace
Cisco leverages Microsoft Azure Marketplace and new Security Store with Resale Enabled Offers to streamline security solution procurement. Partnership focuses on Isovalent for cloud/Kubernetes and AI Defense solutions, deeply integrated with Microsoft Entra and Defender XDR.
Cisco Expands Secure AI Factory with NVIDIA to Edge and Security
Cisco expands its Secure AI Factory with NVIDIA to enable AI deployment from data centers to edge sites, adding security capabilities like firewall policy enforcement on DPUs and AI Defense integration, offering flexible architecture options to accelerate production scaling.
Cisco and NVIDIA Extend Secure AI Factory with Network-Security Integration
Cisco and NVIDIA deepen collaboration on Secure AI Factory, extending AI deployment from core to edge. Launch high-performance switches with NVIDIA Spectrum and expand security enforcement to DPU level with AI guardrails integration.
Cisco Open Sources RAG Vector Space Security Detection Tool
Cisco releases open source Adversarial Hubness Detector tool with multi-detector architecture to identify adversarial attacks in RAG vector spaces, supporting major vector databases. Extends defense from prompt layer to knowledge retrieval layer against emerging 'gravity well' attacks.
Trend Micro Report Highlights AI Supply Chain Risks and Model Attack Surfaces
Trend Micro's 'Fault Lines in the AI Ecosystem' report systematically analyzes security risks in the AI supply chain, including training data poisoning, third-party plugin vulnerabilities, and model theft attacks. It indicates that enterprise AI security boundaries have expanded from traditional IT infrastructure to the model layer and data pipelines.
Cisco Partners with NVIDIA and VAST on End-to-End Secure AI Data Platform Architecture
Cisco partnered with NVIDIA and VAST to deliver a deployable AI data platform reference architecture integrating compute infrastructure, data platform, and security layers. The architecture employs Cilium for K8s networking, Tetragon for runtime security, and AI Defense for application protection, enabling full lifecycle security from data to AI applications.
Cisco Expands AI Security Architecture and Launches Partner Incentive Program
Cisco launched new solutions for AI agent security, expanding AI Defense to protect AI application supply chain and model integrity, and introducing SASE for Agentic AI with automated detection and access control. The company also added AgenticOps autonomous remediation in Security Cloud Control and enhanced identity security with Duo for Active Directory.
Cisco Defines Security Architecture for Agentic AI Era with Expanded AI Defense and SASE Capabilities
Cisco announced major updates to its AI Defense solution, adding AI supply chain governance and runtime protections to mitigate risks of agentic AI compromise. Concurrently, Cisco SASE introduced AI traffic detection and optimization capabilities to ensure secure and reliable agentic workflows. These developments reflect Cisco's strategic focus on converging AI security with networking architectures.
Cisco Launches AI Infrastructure Chip and AgenticOps Platform to Strengthen Unified Architecture Strategy
Cisco introduced Silicon One G300 chip and AgenticOps platform to optimize AI cluster network performance and job completion time, while simplifying hybrid cloud operations via unified Nexus One management plane. Its updated AI Defense solution focuses on AI supply chain governance and runtime protection.
Cisco Establishes AgenticOps as Core IT Operating Model for AI Era
Cisco expands AgenticOps operating model across its full portfolio, covering networking, security and observability. Powered by Deep Network Model and cross-domain telemetry, it enables intelligent execution including autonomous troubleshooting, continuous optimization and trusted validation. This represents a key evolution of Cisco's platform strategy towards AI-driven closed-loop operations.