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What Is LLMjacking? The New AI Cybercrime Stealing Cloud AI Compute

Mar 5, 2026 By Sysdig In Sysdig
LLMjacking is a new cybercrime where attackers steal access to cloud-hosted AI models and use them for free — while the victim pays the bill. In this video, we break down what LLMjacking is, how attackers exploit compromised credentials and exposed APIs, and why security teams should treat AI infrastructure as a high-value attack target. Discovered by the Sysdig Threat Research Team, LLMjacking is quickly becoming the AI-era equivalent of cryptojacking — except instead of mining cryptocurrency, attackers run expensive large language models (LLMs) at scale.
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tigera

What's New in Calico: Winter 2026 Release

Mar 4, 2026 By Veronika Smolik In Tigera
As anyone managing one or more Kubernetes clusters knows by now, scaling can introduce an exponentially growing number of problems. The sheer volume of metrics, logs and other data can become an obstacle, rather than an asset, to effective troubleshooting and overall cluster management. Fragmented tools and manual troubleshooting processes introduce operational complexity leading to the inevitable security gaps and extended downtime.
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Komodor

AI SRE in Practice: Enabling Non-Experts to Troubleshoot Kubernetes

Mar 4, 2026 By Itiel Shwartz In Komodor
Kubernetes troubleshooting traditionally requires deep platform expertise. Understanding pod lifecycle, decoding error messages, correlating events across resources, and identifying root cause all demand experience that takes years to build. This expertise gap creates a bottleneck where only senior engineers can handle production issues, limiting how quickly teams can resolve incidents.
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graylog

Centralizing Docker Logs for Observability and Security

Mar 4, 2026 By Jeff Darrington In Graylog
Most people can remember the old game of telephone, the stream of whispered sentences or phrases across a group of kids. At each transmission, a different piece of information gets lost or misheard, leaving the last person with an incomplete or incomprehensible statement. Managing Docker logs can feel the same way, especially when an error message is lost or an error message lacks context.
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Komodor

When AI Writes the Code, Who Pays the Cloud Bill?

Mar 1, 2026 By Ilan Adler In Komodor
This is part two of a series of the implications of AI generated code becoming mainstream. We recently wrote about how AI-generated code is overwhelming SRE teams with production complexity they can’t manage. Turns out that’s only half the problem. The other half shows up on the cloud bill. A prospect reached out to us last month. They’d been using Cursor and Claude Code for six months, shipping features at unprecedented velocity. Product was thrilled.
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