Blog

On November 28, 2025, Sysdig’s Threat Research Team observed an AI-assisted intrusion that achieved administrative access to an AWS environment in under 10 minutes, compromised 19 AWS principals, abused Amazon Bedrock LLMs, and attempted GPU resource hijacking. The attack chain reveals what happens when threat actors weaponize LLMs for cloud reconnaissance, privilege escalation via Lambda code injection, and lateral movement at machine speed.

Clawdbot went from zero to 60,000 GitHub stars in a weekend. Within 72 hours, security researchers found 900+ unauthenticated gateways exposed on the internet, with Anthropic API keys, Telegram tokens, and Slack secrets visible in plaintext. RedLine, Lumma, and Vidar deployed Clawdbot-specific stealer modules before most security teams knew the tool existed. This was not an exotic zero-day. It was a localhost trust assumption meeting a reverse proxy, and it turned every misconfigured instance into an open door.

Static dashboards are becoming optional. AI agents embedded in BI platforms like Power BI, ThoughtSpot, and Qlik now monitor data streams, detect anomalies, and surface insights before anyone asks. This guide covers how autonomous BI works, which platforms lead, and what the shift means for data teams.

Agent skills are modular, installable capabilities that give AI coding agents expertise in specific domains. SkillsMP hosts 160,000+ skills, Vercel runs Skills.sh as an open directory, and companies like dbt and Supabase publish official skill packages. The SKILL.md open standard means skills work across Claude Code, Codex, Gemini CLI, Cursor, and 30+ other agents. This is the app store model applied to AI development tools.

A website called RentAHuman.ai went viral in February 2026 by letting AI agents browse human profiles, assign physical tasks, and pay in stablecoins. Over 200,000 people signed up in one week. Only 83 profiles were visible, roughly 70 agents were active, and a reporter who spent two days on the platform completed zero tasks. The concept is fascinating. The execution raises every labor, security, and regulatory red flag imaginable.

Chrome 146 ships a flag-gated preview of WebMCP, a W3C standard co-authored by Google and Microsoft that lets websites expose structured, callable tools to AI agents via navigator.modelContext. Instead of scraping the DOM or interpreting screenshots, agents call registered functions with typed parameters. Early benchmarks show 67% less computational overhead and 98% task accuracy. Here is what the API looks like, what it means for browser agents, and why the web just got its agent layer.

Langflow gives developers full Python access behind a visual canvas. Dify provides a polished all-in-one experience for teams that want RAG, agents, and deployment in one package. Here is when to choose which.

OpenAI, Anthropic, and Block donated their three biggest agent standards to the Linux Foundation in December 2025. The new Agentic AI Foundation (AAIF) now governs MCP, AGENTS.md, and Goose with 49 member organizations including AWS, Google, Microsoft, and SAP. This post covers what each project does, who controls the roadmap, and what actually changes for teams building or buying agent systems.

Google’s Agent Development Kit (ADK) hit v1.0 in 2026 with 17,600+ GitHub stars, native support for both MCP and A2A protocols, and SDKs in four languages. It is the only major framework where agent-to-tool and agent-to-agent communication are first-class features instead of add-ons. This post breaks down what ADK does, where it fits alongside LangGraph and CrewAI, and when it is the right choice.

IDC warns that Global 1,000 companies will underestimate AI infrastructure costs by 30% through 2027. AI agents compound this problem because a single user request triggers multi-step chains of LLM calls, tool invocations, and reasoning loops. This post breaks down where agent costs hide, which FinOps tools actually work for AI workloads, and how teams are cutting 40-70% of cloud spend without sacrificing agent quality.