AI Agent Governance: The CISO Checklist for the New AI Agent Reality

AI agents are rapidly becoming embedded in enterprise workflows, influencing revenue operations, customer engagement, development, and internal decision-making. As these systems gain autonomy and inherit access across SaaS, cloud, and endpoint environments, they introduce a new layer of operational and security risk that traditional controls cannot fully manage.

LLM Data Leakage Prevention: 10 Best Practices

Forget the breach notification email. Forget the security audit trail. A fintech user opened their chatbot last year, saw someone else’s account details staring back at them, and filed a support ticket. That’s how the team found out their LLM had been leaking customer PII for weeks. LLM data security isn’t a checkbox. It’s an architecture decision. Make it before the first model call, not after the first breach. Most teams get one expensive lesson before they understand that.

DSPM Best Practices: How to Implement Data Security Posture Management

Enterprise data environments have fundamentally outpaced the security architectures designed to protect them. Sensitive data now exists across endpoints, cloud infrastructure, SaaS platforms, and AI workflows simultaneously, often replicated in fragments that carry no labels and trigger no file-based controls.

4 Ways Businesses Use CrowdStrike Charlotte AI to Transform Security Operations

Security teams are being asked to do more than ever, often with fewer people and less time. As alert volumes continue to rise and adversaries automate their attacks, even mature SOCs struggle to keep pace. Legacy tools surface signals, but they still leave analysts responsible for triage, investigation, and response decisions that take time and experience to execute well. CrowdStrike Charlotte AI was built to change that model.

The Need for Infrastructure Identity | Teleport x The Cyber Hut

Most organizations have identity over here and infrastructure over there — and they don't talk. By default, infrastructure has no identity. It's naked. Ev Kontsevoy explains why bringing identity into your infrastructure stack is a prerequisite for safe AI adoption — and what a trusted state actually looks like.

Use Agentic SOC-as-Code to Right-Size Your AI Operations

Let’s start by drawing a strong distinction between what LimaCharlie does and what others offer in their AI SOCs. LimaCharlie's Agentic SecOps Workspace is an architecture that integrates AI as part of the security fabric. It's agentic AI security you own and control, not a black box you subscribe to. We introduce an easily deployable SOC-as-code approach that increases your control and capabilities.

What Data Is Required for EU AI Act Compliance

The EU AI Act places significant emphasis on documentation because regulatory oversight depends on an organization's ability to demonstrate how its AI systems operate and how associated risks are managed. Compliance is not determined solely by how an AI system performs, but by whether the organization can provide evidence that appropriate governance, risk controls, and oversight mechanisms are in place throughout the system lifecycle.

Stop Local App Data Leakage | Falcon Data Protection Demo

CrowdStrike Falcon Data Protection enforces content-aware controls on local thick-client applications to prevent sensitive data from leaving the environment. Real-world exfiltration attempts across common desktop applications including chat tools, note-keeping apps, and email clients are identified and blocked beyond the browser. Custom Local Application groups, Classification Rules, and Data Security Policies give defenders flexible, precise control over how sensitive data is handled across the endpoint.

AI, Application Security, and the Illusion of Control

Over the past year, AI-generated code has moved from novelty to normal. Developers are shipping faster, prototyping faster, refactoring faster… sometimes without fully understanding what they just merged. From the outside, it looks like a productivity renaissance. From the inside, it feels like something else: a new kind of operational risk that doesn’t behave like the old kind.