Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

A Comprehensive Guide to Continuous Threat Exposure Management (CTEM)

Continuous Threat Exposure Management is a continuous security framework for identifying, assessing, validating, and reducing the exposures that matter most to an organization. Rather than treating every exposure, alert, or control issue as equally urgent, CTEM helps organizations focus on the exposures that are actually reachable, relevant to likely attack paths, and meaningful in a business context.

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.

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.

Netskope One AI Guardrails and Netskope One AI Gateway Demo

This is a demo of Netskope One AI Guardrails and the Netskope One AI Gateway. Netskope One AI Guardrails provides real-time content moderation for every interaction, securing the enterprise against emerging AI-specific threats including prompt injection and jailbreak attempts, and unsafe use. Netskope One AI Gateway secures the API traffic fueling your AI-powered applications. By centralizing authentication, traffic management, and content inspection between private apps and LLMs, we ensure autonomous agentic data flows remain governed and secure.

The hidden risks of AI rule conversion in SIEM migrations

Uncover the hidden risks of AI-powered rule conversion during SIEM migrations and why clean inputs matter. Learn how to combine automation with human validation for secure migration success. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

The CISO's Dilemma: How To Scale AI Securely

Your board wants AI. Your developers are building with it. Your budget committee is asking for an ROI timeline. But as CISO, you're the one who has to answer when the inevitable question comes up: "How do we know this is secure?" If you're like most security leaders, you're caught between two impossible positions. Say yes to AI initiatives without proper security controls, and you're responsible when something goes wrong.