Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

protecto

Synthetic Data for AI: 5 Reasons It Fails in Production

Mar 18, 2026 By Protecto In Protecto
Synthetic data for AI development has become the default shortcut for most engineering teams. It’s fast, sidesteps privacy headaches, and lets you move without touching production. I get why teams default to it. But there’s a problem: synthetic data for AI routinely breaks down the moment your system hits real-world enterprise data. The system demos great. It passes every internal test. Then it lands in production and falls apart in ways you didn’t see coming.
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Why Everyone Must Learn AI Skills in 2026 #shorts #ai

Mar 18, 2026 By Protecto In Protecto
AI skills are no longer optional. The US Department of Labor recently released an AI Literacy Framework, making AI knowledge a basic workforce skill for the future. This means every worker should understand: Basic AI principles AI use cases Prompting AI correctly Evaluating AI outputs Using AI responsibly AI literacy is quickly becoming a core job skill across all industries, not just tech.
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salt security

Everyone Is Deploying AI Agents. Almost Nobody Knows What They're Doing.

Mar 18, 2026 By Roey Eliyahu In Salt Security
One constant I hear from CISOs I speak with is that AI agents are not coming. They are already inside organizations, reasoning through goals, selecting tools, and taking action through the same APIs that connect your most sensitive systems. And most security teams have no idea what those agents are doing.
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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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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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