Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Runtime Security for LLM Applications: How to Monitor Prompts, Context, Tools, and Outputs

Large language models are becoming the operational layer behind enterprise AI, powering intelligent assistants, automated workflows, and AI agents that interact with sensitive business systems. But as LLMs process confidential prompts, retrieve enterprise context, and execute connected actions, every runtime interaction introduces new security risks.

LimaCharlie 101: EDR deployment, detection rules, and threat intelligence

This workshop will cover the basics of the LimaCharlie SecOps platform. You will learn how to deploy EDR agents, gather additional telemetry and write detection and response rules, and integrate threat intelligence and YARA rules to detect and mitigate threats. Key Learning Objectives: Endpoint Detection and Response (EDR) Agent Deployment and Management: Learn the best practices for deploying LimaCharlie EDR agents across diverse environments. Understand the various deployment methods, agent configurations, and how to effectively manage agent health and status at scale.

How to Reduce Risk Without Shutting Down Operations

Discovering a vulnerable asset doesn't have to trigger panic. In this video, Daniel dos Santos explains how organizations can reduce risk while investigations are still underway by limiting reachability, tightening access controls, and using segmentation to restrict exposure—without disrupting critical business operations.

The Open-Source Paradox: Navigating the New Frontier of AI Supply Chain Risk

The recent developments surrounding vulnerabilities in major AI repositories like Hugging Face serve as a critical wake-up call for the cybersecurity community. As we accelerate toward an agentic future, the platforms we rely on for innovation are increasingly becoming the primary vectors for systemic risk.

Introducing The Hybrid Nudge Experience: Outbound Email Security Built for Your Risk Appetite

When it comes to outbound email security, every organization operates under different operational constraints and security requirements. Some security teams prioritize in-app nudges and coaching to catch risky behavior the moment an email is drafted. Others want to avoid friction, particularly for executives, sales teams or mobile-first employees who rarely interact with desktop add-ins.

Why Most Automation Projects Stall Before They Reach ROI

Automation has a credibility problem hiding behind its success stories. For every celebrated deployment, there's a quieter statistic: analysts and consultancies have repeatedly found that a large share of automation initiatives - by some estimates a third to half of early RPA programs - fail to scale or deliver their expected return. The technology usually works; the project is what breaks.

Understanding Context Windows in AI-Powered Security Operations

Your security operations team now relies on AI agents to detect threats, triage alerts, and accelerate incident investigation. These agents analyze signals across your environment to identify suspicious behavior that humans might miss, and they respond faster than any manual process could. But they operate under a fundamental constraint that most security teams overlook: context window limitations that directly impact investigation quality and threat visibility.