Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

China-linked group targets cloud, Russian cyber espionage, agentic AI systems flaw & Nginx [313]

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.

NIST CSF 2.0 and Agentic AI: Building Profiles for Autonomous Systems

AI agents are likely already running inside your infrastructure. They triage alerts, remediate incidents, provision resources, and make decisions without waiting for a human to approve each step. For teams aligned to NIST’s Cybersecurity Framework (CSF) 2.0, this creates a problem: the framework assumes human actors, human-speed decisions, and human-readable audit trails. Autonomous systems break all three assumptions. The good news is that CSF 2.0 was designed to be adapted.

Your auditor is about to ask about AI agents. 9 things they'll want to see

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market. Studies show that AI adoption outpaces understanding.

Why Identity Security is Key To Managing Shadow AI

Employees are adopting Artificial Intelligence (AI) tools to enhance their productivity, but they rarely consider the security implications of doing so. When an employee pastes sensitive customer data into an unapproved AI tool, that data is processed by a third-party model outside the organization’s control, often leaving no audit trail for security teams to review.

Frontier AI Is Collapsing the Exploit Window. Here's How Defenders Must Respond.

The defensive timeline in cybersecurity is changing faster than most organizations are prepared for. For years, defenders operated with an assumption that there would be some delay between vulnerability disclosure and exploitation. That delay created a window for patching, mitigation, and detection. It wasn’t perfect, but it gave security teams time to act. Frontier AI is removing that buffer and changing how organizations must consider cyber risk.

Cato Enterprise Browser Secures Devices You Don't Control

Most users don’t work on devices you control. Contractors, partners, and BYOD users still need access, but traditional approaches force tradeoffs between security, visibility, and complexity. IT teams often stitch together VPNs, VDI, and browser tools, each with separate policies and consoles. This creates gaps in enforcement and increases operational overhead. Cato Enterprise Browser changes that.

AI Workload Security on GKE: Evaluating Google Cloud Native vs Third-Party Solutions

A CISO running AI agents on GKE has watched three Google product launches in eighteen months — Model Armor, expanded Security Command Center coverage for AI workloads, additions to Chronicle’s curated detection content — and is being asked whether the GCP-native stack is now sufficient. The vendor demos and the Google Cloud blog say yes. The 2 AM analyst experience says something different.