Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike

Secure Homegrown AI Agents with CrowdStrike Falcon AIDR and NVIDIA NeMo Guardrails

Mar 19, 2026 By Bruce McCorkendale - Rob Truesdell In CrowdStrike
The biggest challenge for developers building AI applications is no longer the translation of user intent into action, but rather limiting its scope to stay within stated business goals and prevent abuse. This challenge has moved from theoretical to mission-critical as AI agents transition from experimental projects to mainstream business tools, where a single compromised agent can expose customer data, execute unauthorized transactions, or violate compliance requirements across thousands of interactions.
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strongestlayer

StrongestLayer Launches Next Iteration of Its Platform That Moves Email Triage Upstream, Cutting SOC Alert Volume by More Than 80%

Mar 18, 2026 By StrongestLayer
New Evidence Engine autonomously investigates every email threat and delivers decision-ready cases to security teams, eliminating the manual triage workflow that consumes up to 25% of analyst time.
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apono

Introducing Agent Privilege Guard: Runtime Privilege Controls for the Agentic Era

Mar 18, 2026 By Gabriel Avner In Apono
The question enterprises are asking is no longer whether to deploy AI agents. It is how to do it without creating security risk they cannot control. In December 2025, Amazon’s own AI coding tool Kiro triggered a 13-hour AWS outage after autonomously deciding to delete and recreate a production environment.
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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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