Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

jfrog

From Agentic Risk to Agentic Confidence: The JFrog MCP Registry is GA

Mar 18, 2026 By Ran Romano In JFrog
In an AI-native world where Model Context Protocol (MCP) is the universal standard for AI connectivity, the security and governance stakes have never been higher. AI’s ability to take autonomous action through MCPs means that a single breach of an MCP server can grant attackers control over mission-critical enterprise systems, putting enterprises in an immediate and escalating state of agentic risk that cannot be ignored.
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seemplicity

The Unsung AI Hero: Data Normalization

Mar 18, 2026 By Megan Horner In Seemplicity
AI agents are only as effective as the data they consume. In this post, we explore the unsung hero of the security stack: data normalization. This process serves as the deterministic guardrail that makes AI grounding possible. Without a structured data foundation, grounding is only as good as the often chaotic data being retrieved, leading to confident but incorrect AI responses.
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Torq

From Intent to Outcome: How Agentic Coding is Transforming the SOC

Mar 18, 2026 By Ofer Smadari In Torq
See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Security teams are being asked to move faster and handle more complexity, while the threats they defend against are increasingly AI-assisted. When I wrote about VoidLink in January, my point was simple: you cannot fight machine-speed threats with human-speed defense. Attackers are using AI to code, adapt, and scale attacks while humans are still grinding away doing the heavy lifting in the SOC.
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Rethinking Application Delivery for the AI Era

Mar 18, 2026 By A10 Networks In A10 Networks
Rethinking Application Delivery for the AI Era Is your network strategy keeping up with the AI era? Jamison Utter, Field CISO at A10 Networks, challenges IT leaders to move beyond "piecemeal" infrastructure and rethink their approach to application delivery. As organizations face the dual pressure of integrating AI workloads and managing a vast "fleet" of hybrid devices, the old ways of operating are becoming a liability. Jamison discusses the true cost of administrative overhead and the urgent need for a more flexible, simple, and future-proof vendor strategy.
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Secure Enterprise AI Apps and Agents: Visibility, Governance, Runtime Protection

Mar 18, 2026 By Cato Networks In Cato Networks
When you deploy an AI application, do you know what's being sent into it — or what's coming back out? Cato AI Security provides runtime protection for the AI applications your organization builds and deploys, with real-time enforcement, sensitive data anonymization, and a complete audit trail across every interaction. Learn more or request a demo at catonetworks.com.
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AI Risk Isn't Just About Models. It's About Systems.

AI Risk Isn't Just About Models. It's About Systems.

Mar 18, 2026 By SecuritySenses In SecuritySenses
Most discussions about AI risk focus on the models themselves. Hallucinations. Bias. Data leakage. Unpredictable outputs. These are real concerns. But they only tell part of the story. Because in practice, AI doesn't operate in isolation. It operates inside systems - and that's where the real risk begins to emerge.
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virtue ai

Virtue AI Closes the AI Agent Security Gap with Agent ForgingGround: The First Enterprise-Scale Testing Ground for Autonomous AI

Mar 17, 2026 By Virtue AI
Agent ForgingGround with Built-In Red-Teaming Agents continuously evaluates and stress-tests AI agents across 50+ production-grade enterprise environments so enterprises can embrace AI agents without compromising security.
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