Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From Shadow IT to Shadow AI: The Evolution of Unseen Risk

Security leaders are well acquainted with Shadow IT; the unsanctioned apps, services, and even devices employees adopt to bypass bureaucracy and accelerate productivity. Think rogue cloud storage, messaging platforms, or unapproved SaaS tools. These all often slip past governance until they trigger a breach, compliance issue, or operational failure. Now, a more complex threat is emerging - Shadow AI.

CrowdStrike Launches Agentic Security Workforce to Transform the SOC

AI has redrawn the cyber battlefield. Adversaries are already automating every phase of the kill chain to strike faster, scale wider, and overwhelm defenders. Manual workflows and conversational assistants help teams move faster, but still bind them to human speed. Agentic AI changes the equation. It enables security teams to deputize trusted, mission-ready agents that reason, decide, and act on their behalf — at the speed of AI. The promise of agentic AI is clear.

How AI is (or should be) changing SOC workflows with Matt Bromiley

We dove into AI in the SOC with Matt Bromiley from Prophet Security! Matt broke down how AI is transforming (and should be transforming) SOC workflows. Whether you're already using AI tools or wondering where to start, this is the conversation you don't want to miss.

LCQL Made Simple with AI #cybersecurity #ai

LimaCharlie Query Language (LCQL) enables security teams to search across their entire multi-platform fleet, from Windows Event Logs to Linux package installations to macOS volume mounts. Our MCP server allows users to generate LCQL queries from plain-text language commands. Eric Capuano, founder of Digital Defense Institute, demoed this during our webinar: "I want an LCQL query that'll go and find processes in the last twenty four hours that exhibit signs of x. I can just give it that instruction... that MCP tool will work it out and give Claude the ideal LCQL query to run.".

The Evolution of AI: From Symbolic Reasoning to GPTs and Agentic Systems

It seems like Artificial Intelligence (AI) has suddenly appeared in everything, everywhere, all at once. What feels like “five minutes ago”, there was “pre-AI life”, and now we have AI assistants that speak like real people, apps that create images, music, and video from nothing, and AI agents that do work for us.

Guy Let ChatGPT Handle Every Conversation With His Wife - You Won't Believe What Happened

Mark, a 34-year-old software engineer, had a bold idea. He wondered what would happen if ChatGPT, a Language Model he used for code reviews, handled his personal life too. One evening, tired of juggling deadlines and small talk at home, he fed ChatBot transcripts of his conversations with his wife. Claude AI was added to polish tone, ensuring nothing sounded robotic. What started as an experiment in Artificial Intelligence quickly turned into a week-long case study on trust, communication, and the limits of Software.

Using ChatGPT to Catch Bugs Pre-Launch: Zero Rollbacks Success Story

ChatGPT was the last Software the developer trusted before pushing code to production. For months, his small SaaS team had been burning nights fixing rollbacks after buggy releases. With deadlines tight and investors asking for updates, he turned to a Language Model not for new features, but for one job: hunting bugs in human-readable form before they went live. It wasn't magic Artificial Intelligence. It was structured prompts, checklists, and ChatBot-powered reviews that saved him from another midnight rollback.

4 Ways to Secure Bedrock Agent-Initiated Actions with Teleport

AI agents powered by Amazon Bedrock are playing an increasingly central role in cloud operations. These agents can interact directly with core AWS services like S3, Lambda, RDS, and EC2 to perform tasks such as data retrieval, automation orchestration, and resource provisioning. Many teams rely on the Model Context Protocol (MCP) to structure agent behavior and convert natural language into actionable commands.