Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Camille Stewart Gloster on how AI systems can help you wade through log data and get more done

AI and machine learning are already being used in cybersecurity to help reduce the "noise of all the indicators" that security teams receive. These systems can serve as a "first line of defense" by setting up potential response actions. However, organizations need to ensure they keep human analysts in the loop because contextual knowledge and human judgment remain critical. Data Security Decoded is available on our YouTube channel!

Thinking long-term growth in an AI-dominated industry with Stel Valavanis of onShore Networks [302]

Today we're speaking with Stel Valavanis, Founder and Chairman at onShore Networks and Co-Founder at The Gallery Building, about sustaining a security company over three decades of industry changes. We also dive into investing in start ups and how founders can think long term about governance and growth.

Thinking in pipelines for AI agents with David Burkett

Join us for this session of Defender Fridays as we explore thinking in agent pipelines with David Burkett, Cloud Security Researcher at Corelight and Founder of Magonia Research. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

AI Is Building Your Attack Surface. Are You Testing It?

The market is flooded with claims. One vendor tops a leaderboard. Another raises nine figures on a pitch deck. Meanwhile, your developers shipped three AI-generated services before lunch. Here's the conversation the industry isn't having, and the one we've been building toward for years. There's a version of this conversation happening inside every Security team right now. Someone demos an AI coding assistant. The speed is undeniable and the team is in awe. Still cautious, sometimes skeptical.

Apono Launches Agent Privilege Guard, Bringing Runtime Privilege Guardrails to Enterprise AI Agents

NEW YORK – March 18, 2026 – Apono, the agentic-forward cloud-native Privileged Access Management platform, today announced the launch of Agent Privilege Guard, a new product that gives enterprises the ability to deploy AI agents at full velocity without creating security risks they cannot control.

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

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.

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

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.

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

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.