Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Executive Order 14409 Starts a 30-day Clock on Federal Cyber Defense

On June 2, 2026, President Trump signed Executive Order 14409, "Promoting Advanced Artificial Intelligence Innovation and Security." The framing is innovation first. But for federal network and security teams, the practical reality is a short, specific timeline to harden government systems, with AI now active on both sides of the cybersecurity equation. The deadlines are not aspirational.

Monitor Netskope ADEM scores and remediate with an AI chatbot

Automatically detect when user connectivity degrades in Netskope ADEM and respond instantly with an AI-powered Slack chatbot. In this five-minute flow, we walk through how to monitor Netskope ADEM experience scores for key users and trigger proactive outreach via Slack when performance drops. You'll see how Tines pulls scores on a schedule, creates a case when a threshold is breached, uses an LLM to craft a personalised Slack message, and deploys a Virtual Assistant to help the user troubleshoot in real time.

AI Powered Threat Detection: CISO's Guide

The market is giving CISOs a blunt signal. AI-powered threat detection and response was valued at USD 5.59 billion in 2024 and is projected to reach USD 23.52 billion by 2032, at a 20.00% CAGR according to Kings Research on the AI-powered threat detection and response market. That kind of growth doesn't happen because security teams like new tooling. It happens because modern environments generate more telemetry than analysts can realistically review, and attackers move faster than rule updates.

Anthropic restriction, ServiceNow incident, Fortinet harvesting & Ukraine EU cyber reserve [333]

In this episode of The Cybersecurity Defenders Podcast, we discuss some intel being shared in the LimaCharlie community. Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform. This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows.

GLM 5.2 vs Opus 4.8: Cheaper AI Code, Hidden Risks?

GLM 5.2 just launched from Z.ai, and it might be one of the biggest threats yet to the frontier model premium. It’s open, significantly cheaper than Claude Opus 4.8, and claims to deliver near-frontier coding performance across major benchmarks. But benchmarks only matter if the model can actually build something production-ready.

Why Traditional DLP Breaks in Agentic AI

A customer support agent needs a payment reference, a token or transaction ID, to issue a refund. A summarization agent reading the same ticket needs none of it. A billing agent needs only the last four digits to match a transaction. A fraud agent needs the full credit card number, but only when a case is open and only for the account it is reviewing. Traditional DLP sees one thing across all four: sensitive data, a 16-digit string that matches a card pattern. It makes one choice: block, redact, or allow.

What Are Shadow Agents and Why Are They a Security Risk?

Most AI governance programs assume they know what they're governing. They track which AI tools employees use through browser proxies and SSO logs, block access to unauthorized platforms, and monitor data leaving through known egress channels. Shadow agents break every one of those assumptions. Agents run locally, act autonomously, and access data through pathways the tools monitoring your environment were never built to see, creating a new, and difficult to govern, attack surface.