Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What if your team could know exactly what a network change would do before it touched production, not a best guess, not built on incomplete data, but a mathematically verified outcome drawn from an accurate model of your actual network? That is what Forward Predict delivers.

Running a hybrid network today means managing complexity that the tools in your stack were never designed for. Constant change, multi-cloud environments, a security perimeter that shifts daily, and no single place to go for a verified answer about what your network is actually doing.

Networks have never been more critical, more complex, or more difficult to run with confidence. The infrastructure powering global finance, healthcare, and commerce has outgrown the tools built to manage it, and the teams responsible for keeping it running deserve better than guesswork. Forward is on a mission to change that.

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.

No blind spots. No waiting. Just visibility that works. Customers using Falcon Exposure Management say it has changed how they view and prioritize risk. They’re getting instant clarity across cloud, endpoint, and identity — knowing exactly which exposures to address first. They’re cutting through noise, saving time, and acting faster with AI-powered context from ExPRT.AI. In this video, they share how Falcon Exposure Management delivers the full picture — and why they’ll never go back to legacy VM tools.

Real voices. Real clarity. Real-time results. In their own words, customers share how Falcon Exposure Management helps them: See their entire attack surface— instantly Understand which assets and exposures matter most Act faster with AI-driven prioritization and guided remediation Customers are sharing how they went from partial visibility to the full picture — and finally know what to fix first.

On May 11, 2026, the TanStack namespace was hit by a "Mini Shai-Hulud" supply chain attack. Unlike typical attacks, this did not involve stolen credentials; instead, the threat group TeamPCP hijacked the legitimate GitHub Actions release pipeline. This video covers the technical details of the OIDC token extraction, the "Dead Man's Switch" that triggers a rm -rf / upon credential revocation, and the mandatory remediation order you must follow to save your data. We also discuss how to harden your workflow using release-age cooldowns and OIDC pinning.

Read the full report here: https://www.gitguardian.com/state-of-secrets-sprawl-report-2026

See how Arctic Wolf Aurora Vulnerability Management turns risk visibility into remediation through seamless integrations with partners like ServiceNow and ConnectWise. This demo shows how automated ticketing, unified workflows, and prioritized findings help security and IT teams accelerate remediation without added workload.

How threat actors use AnyDesk and TeamViewer to bypass security.