Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Zenity

Why AI Security Requires Context: Introducing Issues & the Correlation Agent

Dec 4, 2025 By Dina Durutlic In Zenity
Data is never the problem. Security teams rarely complain about having too much of it. The real danger comes from data that sits unconnected and unexplained. What teams actually need is data that is actionable and converges into meaning. Data that cuts deeper than surface level signals. Data that reveals what is unfolding and what needs to happen next.
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Zenity

Safe Harbor: An Open Source "Abort Mission" Button for Your AI Agent

Dec 4, 2025 By Greg Zemlin In Zenity
AI agents are increasingly connecting to more systems and workflows. They read structured data, follow multi-step instructions, and can reach deep into applications and developer environments. The same capabilities that make them powerful also create new opportunities for attackers. As Zenity Labs continued to study these emerging attack classes, we noticed a pattern starting to appear.
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The AI Answering Service Wake Up Call for Modern Businesses

The AI Answering Service Wake Up Call for Modern Businesses

Dec 4, 2025 By SecuritySenses In SecuritySenses
Here is the 4 a.m. question almost no owner says out loud. What actually happens when a real customer calls your business and you do not pick up? You assume it is not that bad and maybe they leave a voicemail. You think maybe they call back or your AI answering service catches it next time. The truth from the inside is uglier and I should know because I helped build the systems that make those calls disappear. I have watched good businesses bleed out through their phone lines while everyone stares at the wrong metrics.
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cato networks

The Shadow AI reality: Inside Cato's survey results

Dec 3, 2025 By Angie Oaks In Cato Networks
AI tools have proved their worth in the workplace. They help us write, research, code, plan, and automate. They’re making employees faster and more productive, and helping businesses move and innovate at a pace that wasn’t possible before. But AI’s rise wasn’t orchestrated by IT. It didn’t always arrive through formal adoption plans or procurement cycles. It turned up in shared links to popular GenAI and other tools, self-sanctioned and adopted by users in minutes.
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Zenity

Inside the Agent Stack: Securing Agents in Amazon Bedrock AgentCore

Dec 3, 2025 By Lana Salameh In Zenity
In the first installment of our Inside the Agent Stack series, we examined the design and security posture of agents built with Azure Foundry. Continuing the series, we now focus on Amazon Bedrock AgentCore, a managed service for building, deploying, and orchestrating AI agents on AWS.
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salt security

Securing the New AI Edge: Why Salt Security Is Bringing MCP Protection to AWS WAF

Dec 3, 2025 By Eric Schwake In Salt Security
The definition of the "edge" is changing. For years, security teams have focused on the traditional perimeter: web applications, public APIs, and user interfaces. We built firewalls, deployed WAFs, and established strict access controls to keep bad actors out. But with the rapid adoption of Agentic AI, the perimeter has expanded. Today, your "edge" isn't just where users connect to your apps; it's where AI agents connect to your data.
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Is AI taking entry-level jobs a good thing? #cybersecurity #ai #podcast

Dec 3, 2025 By LimaCharlie In LimaCharlie
There's growing concern that AI automation is removing the hands-on experience junior analysts need to develop into senior defenders. In this Intel Chat, Matt Bromiley and Chris Luft challenge that assumption. Matt breaks down why the traditional entry-level path of endless log review and alert triage was never the best training ground to begin with. Log detection, alert triage, and drift detection are often cited as how defenders learn the trade. But most analysts never had time to get to drift detection because they were buried in repetitive work.
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protecto

Stop Gambling on Compliance: Why Near100% Recall Is the Only Standard for AI Data

Dec 3, 2025 By Anwita In Protecto
LLMs, agents and retrieval‑augmented models are increasingly being adopted for product analytics, customer support and decision‑making workflows. With that scale comes exposure: AI privacy and security incidents incidents involving customer PII are more common than ever and becoming a compliance issue. Let’s look at the statistics: These underscore the importance of robust guardrails and why relying on privacy tools with mediocre recall is a gamble.
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