Announcing Cloudflare Account Abuse Protection: prevent fraudulent attacks from bots and humans

Today, Cloudflare is introducing a new suite of fraud prevention capabilities designed to stop account abuse before it starts. We've spent years empowering Cloudflare customers to protect their applications from automated attacks, but the threat landscape has evolved. The industrialization of hybrid automated-and-human abuse presents a complex security challenge to website owners.

AI Agent Escape Detection: How to Catch Agents Breaking Their Boundaries

Your SOC gets three alerts in quick succession: an unusual outbound connection from a container, a file read on a Kubernetes service account token, and a process spawn that doesn’t match the workload’s baseline. Three different tools, three separate dashboards, three tickets.

From Detection to Response: Managing Insider Risks in Healthcare

Watch our expert webinar aimed to help healthcare organizations detect, respond, and manage insider risks effectively - while ensuring compliance with HIPAA standards. Discover how a “Detection to Response” strategy can protect sensitive patient data and maintain operational resilience.

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.

From Investigation to Response: PAM Best Practices for Banks and Fintech

Watch our cybersecurity webinar to discover how banks and fintech organizations can implement PAM best practices with confidence - bringing together detection, investigation, and response stages while meeting demanding compliance requirements. You’ll learn the following key topics: How financial organizations deal with PAM incidents. How to build an advanced PAM + ITDR framework. An investigation-to-response cybersecurity strategy with Syteca. Real-world case studies demonstrating how financial organizations protect critical infrastructure. Live demo: see Syteca PAM + ITDR in action.

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.

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.

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.