Operations | Monitoring | ITSM | DevOps | Cloud

AI Agents Hacked 395 Organizations. How Do You Stop Them?

Oct 17, 2026 By Harness In Harness
AI agents just changed the speed of cyberattacks. Are security teams ready? In a massive AI-orchestrated cyberattack, hundreds of autonomous AI agents exploited vulnerabilities in PaperCut software, compromising 440 servers across 395 organizations in 48 countries. But the bigger question isn't how these attacks happened. It's how human security teams are supposed to respond when attacks move faster than they can react.
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The Growing Divide Between Digital Simplicity and Real-World Complexity

The Growing Divide Between Digital Simplicity and Real-World Complexity

Oct 17, 2026 By OpsMatters In OpsMatters
A banking app can approve a transaction in seconds. An AI assistant can produce a detailed report from a single instruction. Yet correcting a banking error or verifying an AI-generated report can take hours. This contradiction is becoming more visible as digital services grow easier to operate. Interfaces require fewer steps, but the processes behind them involve increasingly complicated systems, decisions, and responsibilities. The question is whether technology is eliminating complexity or simply moving it somewhere users cannot see.
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cloudzero

How CFOs can control AI spend and prove AI's value

Oct 16, 2026 By David Aponovich In CloudZero
Neil Sawyer, Senior Vice President and Managing Director for HP Europe, Middle East and Africa, recently published “Scaling AI Without Losing Control” in Forbes Business Council. His starting point will be familiar to any finance leader. AI pilots looked affordable on pay-per-token and pay-per-query pricing, and that same pricing can get far more expensive at enterprise scale. Gartner forecasts worldwide AI spending will reach $2.7 trillion in 2026, up 49.5%.
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cloudzero

AI infrastructure costs in 2026: what the stack is, what each layer costs, and how much to commit

Oct 16, 2026 By Lyne Carolyne In CloudZero
AI infrastructure costs span four buying tiers in 2026: API-only teams spend hundreds to tens of thousands per month on tokens, GPU renters typically pay $2 to $10 per GPU-hour by chip class, committed-capacity buyers sign six-to-eight-figure reservation contracts, and owners spend millions per rack. The stack has six layers, and most budgets underestimate everything below the GPU line.
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CriblCon 26 Keynote highlights: Cribl StreamAI, App Framework, Marketplace, and Detect

Oct 16, 2026 By Cribl In Cribl
This CriblCon 26 keynote highlight reel introduces Cribl’s AI platform for telemetry and highlights Cribl StreamAI, the Cribl App Framework, Cribl Marketplace, and Cribl Detect. It is relevant to IT, security, and observability teams exploring intelligent model routing, agentic app development, marketplace deployment, and security investigations using telemetry and context. The keynote also covers the SEC IT benchmark, the cost of investigating incidents with different AI models, and included inference for Cribl-native workloads.
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puppet

When AI Attacks at Machine Speed, Configuration Management Becomes Cybersecurity

Oct 16, 2026 By Puppet In Puppet
The Australian Medicare AI agent incident highlights a broader shift in cybersecurity. AI does not need to create new vulnerabilities to increase risk. Its ability to continuously discover, test, and pursue existing weaknesses places greater emphasis on maintaining secure configurations over time, not just fixing issues once. Security teams are used to the idea that determined attackers will keep looking for a way in.
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harness

AI Coding Assistants: Trust Is the Attack Surface

Oct 16, 2026 By Soujanya Namburi In Harness
Explore how AI coding agents can be exploited through trusted files, hooks, and MCP tools, and learn how to secure agent workflows against hidden instructions and persistent threats. Why the most dangerous instructions aren't the ones you type into the chat box For the past decade, autocomplete guessed your next line. It was helpful, annoying, or flat-out wrong, depending on the day.
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Your AI bill is higher than it should be. Here's why.

Oct 16, 2026 By ManageEngine In ManageEngine
For IT leaders, managing AI costs isn't simply about cutting usage. It's about understanding what's driving consumption in the first place, from tokens and context to system prompts and generated output. As organizations move from experimenting with AI to deploying it at scale, AI cost optimization is becoming an IT governance problem, not just a developer problem.
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