Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI in IoT Security: How Machine Learning Prevents Botnet Attacks Like Eleven11Bot

The Internet of Things (IoT) ecosystem is expanding rapidly, connecting billions of devices across industries. While this connectivity drives efficiency and innovation, it also introduces massive cyber risks. The IoT ecosystem is an interconnected environment of devices, systems, and technologies, making security especially complex. Attackers are increasingly using automation and artificial intelligence (AI) to launch sophisticated attacks at scale.

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.

Why AI Security Breaks Without Context Based Access Control (CBAC)

Generative AI is transforming the way enterprises approach daily operations – powering virtual assistants, summarizing medical records, and aiding clinicians with insights. These benefits come at a cost: risk to a wide range of sensitive data in AI-driven workflows. Traditional access controls and content filters that work for static systems fail as these are not designed for the free-flowing, context-rich data exchanges in LLM applications.

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.