Reports
AI-generated structured vendor updates
HPE Enhances AI Security Architecture for Adoption Risks
HPE introduces SRX400 Series Firewalls, expanded hybrid mesh security, and AI governance capabilities to secure AI adoption. Features include AI app visibility, prompt-level inspection, and identity-based protection to mitigate data exposure risks.
Cisco Report Links EOL Device Vulnerabilities to AI Infrastructure Needs
Cisco Talos report shows 40% of high-threat vulnerabilities target EOL devices, with policy mandates driving forced retirement. This links infrastructure modernization directly to AI security deployment, providing compliance basis for network updates.
NVIDIA Launches OpenShell, Establishing Runtime Sandbox for Secure Autonomous AI Agents
NVIDIA introduces OpenShell, an open-source project designed as a secure-by-design runtime for autonomous AI agents. It employs a "browser tab" model, isolating agent operations from policy enforcement at the system level to prevent policy overrides and data leaks. NVIDIA is collaborating with key security vendors to establish a unified policy layer for enterprise AI agents.
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 Research Reveals Security Barriers to Agentic AI Production Deployment
Cisco research shows 85% of enterprises are piloting Agentic AI but only 5% reach production, with security as the main barrier. Concerns include agent access control, data leakage, and autonomous behavior risks. Dispersed security ownership highlights need for clear governance and dynamic guardrails.
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.
Cisco Extends Zero Trust to AI Agent Identity Management
Cisco extends zero trust principles to AI agent identity management, addressing security challenges from the 82:1 machine-to-human identity ratio. Uses Identity Intelligence for short-term credentials and Universal ZTNA for identity context, integrating AI agents into governance frameworks.
Cisco Launches Talos IR Team for Security Service Product Loop
Cisco forms a dedicated IR team providing 24/7 on-site support, converting real-world threat experience into intelligence fed back to security products for closed-loop enhancement.
Cisco Demonstrates Metropolitan Quantum Network Architecture Breakthrough
Cisco demonstrated 5,400 entangled pairs per hour over 17.6km standard fiber in urban environment, validating software-defined quantum network architecture. The solution uses control software for picosecond synchronization with hub-spoke design to reduce scaling costs, proving quantum networks can leverage existing telecom infrastructure.
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 UCS Integrates NVIDIA Blackwell GPU with Dynamic Resource Pooling
Cisco integrates NVIDIA RTX PRO 4500 Blackwell GPU into UCS platform, supporting deployment from data center to edge. Intersight management enables dynamic GPU resource pooling with real-time PCIe allocation. Validated design blueprints accelerate scalable AI inference and vision AI workloads.
Cisco Advances WLAN Autonomy with Proprietary LLM and AgenticOps
Cisco ranked as leader in ABI Research's WLAN competitiveness assessment, leveraging its proprietary LLM trained on CCIE expert data and AgenticOps capabilities like AI-RRM, config recommendations, and packet analysis to shift from analytics to autonomous operations.
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 Launches AI Technician Certification Targeting AI Skills Ecosystem
Cisco introduced an AI Technician certification covering generative AI models, prompt engineering, and AI ethics, designed around real business scenarios. The free learning path until 2026 aims to enhance network engineers' AI skills against job displacement risks.
NVIDIA and Telecom Operators Build AI Grids to Redistribute AI Inference
NVIDIA is partnering with global telecom operators like AT&T and Comcast to transform existing distributed network sites into 'AI Grids' for edge AI inference. This initiative aims to deploy AI compute closer to users and data, reducing latency and cost per token. It represents a strategic shift for telcos from being data carriers to distributed AI computing platforms.
NVIDIA Partners with Telecom Operators to Build Distributed AI Inference Grid
NVIDIA collaborates with telecom operators to transform 100,000 global network sites and 100GW backup power into a distributed AI computing platform for low-latency inference. The AI grid has been validated in IoT and cloud gaming scenarios, achieving sub-500ms latency and 50% cost reduction.
NVIDIA AI Grids: AT&T, T-Mobile Building Distributed AI Platform
NVIDIA at GTC 2026 announced AI Grids strategy, as telecom operators transform network infrastructure into geographically distributed AI inference platforms. Major operators including AT&T, T-Mobile, Comcast, and Akamai participating in building distributed edge AI infrastructure.
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.