Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

How to Prevent IP Theft

Most data security programs are built around regulated data: social security numbers, payment card information, protected health information. The compliance frameworks demand it, the tooling is built for it, and breach notification laws make the stakes impossible to ignore. But intellectual property (IP) rarely triggers a regulatory deadline, which means it rarely gets the same level of protection, even though its loss can be far more damaging to a businesses bottom line, reputation, and productivity.

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.

Falcon Cloud Security June 2026 Release: Updates for Azure and Google Cloud

Identities, permissions, exposed resources, and sensitive data can all contribute to risk regardless of whether they reside in AWS, Microsoft Azure, or Google Cloud. However, security teams often encounter uneven visibility and coverage across disparate cloud environments, and face difficulty in consistently understanding risk across a multi-cloud estate.

How oil and gas operators can ensure faster OT recovery

For oil and gas operators, operational technology (OT) is a lifeline, sometimes literally. OT systems are essential to maintaining not just reliable and efficient operations but also safe environments for workers. In upstream production sites, offshore platforms, pipelines, terminals and refineries, critical processes depend on a complex network of OT assets that organizations use to control and optimize operations. Cybersecurity programs for OT often focus heavily on prevention.

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.

PQC Post Quantum Cryptography Explained: Why Today's Encryption Has an Expiration Date

The encryption protecting today’s data isn’t broken, but it does have a timeline. This video breaks down why current systems like TLS, PKI, and RSA remain secure today, and how quantum computing will change that. As progress accelerates toward large-scale quantum machines, organizations must prepare for a new era of security. Learn how PQC (post quantum cryptography) helps address emerging risks like “harvest now, decrypt later,” and why tracking adoption of quantum-safe encryption is critical now, not later.