Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing Forward AI

The Network is Complex. Operating It Shouldn't Be. Forward AI transforms network operations by reducing manual analysis, expert dependency, and guesswork. By combining conversational interaction with a mathematically accurate digital twin, teams can validate intent, understand actual network behavior, and act with confidence across even the most complex environments.

OpenClaw (Moltbot) Personal Assistant Goes Viral - And So Do Your Secrets

Early 2026, Moltbot a new AI personal assistant went viral. GitGuardian detected 200+ leaked secrets related to it, including from healthcare and fintech companies. Our contribution to Moltbot: a skill that turns secret scanning into a conversational prompt, letting users ask "is this safe?".

Threat hunting to detection engineering: Analyzing real malware with Claude Code, LimaCharlie, and Linux

Claude Code, originally just auto-complete on steroids for IDEs, shows a lot of promise for becoming a major tool in the DFIR/detection engineering/security analyst’s toolbox. Whether it’s Claude Code’s support of MCP, agent skills, or general ability to quickly figure out how to accomplish a given task, it is rapidly becoming more than a code generation tool. This is the first of a three-part series.

Vibe Coding Speeds Up Mobile Apps But Creates New Security Risks

AI-assisted development has crossed a tipping point. Mobile teams are no longer debating whether to use AI to write code. They are deciding how fast they can ship with it. This shift, often called vibe coding, prioritizes intent and speed over manual implementation. Developers describe what they want, and AI fills in the rest. Velocity improves. Releases accelerate. But security assumptions quietly break. For mobile applications, that risk compounds.

Episode 7 - Practical AI for Zeek, MITRE, and Security Docs

In Episode 7 of Corelight DefeNDRs, join me, Richard Bejtlich, as I sit down with Dr. Keith Jones, Corelight's principal security researcher, to discuss the practical applications of AI in enhancing network security. We delve into how large language models (LLMs) can assist in cleaning up documentation and generating Zeek scripts, sharing insights from our extensive experience in incident response and coding. Keith reveals the challenges and successes he has encountered using LLMs to streamline processes, including their role in analyzing MITRE techniques.

Introducing Moltworker: a self-hosted personal AI agent, minus the minis

The Internet woke up this week to a flood of people buying Mac minis to run Moltbot (formerly Clawdbot), an open-source, self-hosted AI agent designed to act as a personal assistant. Moltbot runs in the background on a user's own hardware, has a sizable and growing list of integrations for chat applications, AI models, and other popular tools, and can be controlled remotely. Moltbot can help you with your finances, social media, organize your day — all through your favorite messaging app.

Productivity at a Price: The Rising Cost of AI Convenience

Humans have always sought to streamline productivity through the most convenient solutions available, prioritizing speed to stay ahead and gain an edge over the competition. From the assembly line to the cloud, the goal remains the same: do more with less friction. Today, that convenience is synonymous with AI. While these tools have revolutionized how we work, the reality remains that rapid innovation always comes with a hidden cost.

Voice of Security 2026: AI is everywhere yet manual work persists

AI adoption in security has soared. But for many teams, manual work and burnout remain stubbornly high. To understand why, and what security teams must do next, we partnered with Sapio research to survey more than 1,800 security leaders and practitioners worldwide for our Voice of Security 2026 report. We wanted to learn how teams are using AI and automation, how the role of security is evolving, and how professionals believe AI will impact their careers. The data is revealing.

Stop Staring at JSON: How GenAI is Solving the API "Context Crisis"

There is a moment that happens in every SOC (Security Operations Center) every day. An alert fires. An analyst looks at a dashboard and sees a UR: POST /vs/payments/proc/77a. And then they stop. They stare. And they ask the question that kills productivity: "What does this thing actually do?" Is it a critical payment gateway? A test function? Does it handle credit card numbers or just transaction IDs?

MCP & AI Agent Security: Addressing the Growing Data Exfiltration Vector

The security landscape is shifting. For the past two years, security teams have focused primarily on what users type into chatbots by monitoring interactions with ChatGPT, Gemini, and Claude. But a new risk vector is emerging, one that operates largely outside traditional security controls: AI agents accessing corporate data autonomously through the Model Context Protocol (MCP).