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elastic

The future of governing AI agents

Jul 8, 2026 By Marcus Jeffes In Elastic
How to build governance into autonomous security agents from the architecture up The industry has moved fast on capabilities. Agents now triage alerts, investigate endpoints, create detection rules, and enrich indicators, and they are even capable of performing most actions we as security operators can perform. The architecture patterns are maturing, as are the models, but governance is not keeping pace.
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Aiven

The Aiven MCP in Practice: From Dev Environment to App Deploy

Jul 8, 2026 By Tibs (Tony Ibbs) | In Aiven
I spend a good amount of my time deploying Aiven services for demos and examples. Traditionally the tools I reach for are: If I’m writing a program, I may also look to the Aiven API, perhaps using curl at the command line or in a shell script, or perhaps with direct HTTP requests in a Python program. The API is how the console and the CLI tool talk to Aiven, but I generally find that too low level to be comfortable, and I always have to look up how to pass in the Aiven user token.
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How to Build Enterprise AI Agents with Natural Language | Agent Lab Demo, Guardrails & AI Skills

Jul 8, 2026 By Resolve In Resolve
Most enterprise AI agents take weeks to build. This one takes minutes. Watch how Agent Lab creates purpose-built agents with natural language, adds reusable skills, and sets guardrails before anything ships. From idea to production-ready in a single sitting.
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AI ROI: From Adoption to Business Proof

Jul 8, 2026 By GitKraken In GitKraken
AI adoption is easy to report. Business impact is harder to prove. Engineering leaders are under pressure to show what AI is actually changing — not just who is using it, but whether it is improving delivery, quality, developer experience, and business outcomes. This discussion between 3 engineering leaders explores how to move beyond vanity metrics, build a practical measurement approach, and communicate AI’s value to executives and CFOs with more credibility and less hype.
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Co-founder & CEO of digna, Marcin Chudeusz

From Data Warehouses to AI: How Enterprise Data Quality Has Changed Over the Last 20 Years

Jul 8, 2026 By OpsMatters In OpsMatters
An interview with Marcin Chudeusz, co-founder and CEO of digna Two decades ago, enterprise data quality looked very different. Organizations were building centralized data warehouses, business intelligence projects revolved around structured reporting, and most data quality initiatives relied on thousands of manually created validation rules. The objective was simple: ensure the data entering reports was accurate enough for decision-making.
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Anthropic Warns Against AI While Building It Faster Than Anyone

Anthropic Warns Against AI While Building It Faster Than Anyone

Jul 8, 2026 By OpsMatters In OpsMatters
On June 4, 2026, Anthropic published a document unlike anything a major AI lab had put in writing before. Titled "When AI builds itself," and co-authored by Jack Clark (Anthropic's co-founder and head of policy) and Marina Favaro, who runs the Anthropic Institute, the piece argues that frontier AI development may need to slow down - or even stop - before humans lose the ability to control what comes next.
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manageengine

The invisible visitor: Why the internet is no longer just for humans

Jul 7, 2026 By Harsitha P In ManageEngine
"Every website was once designed for people. That assumption is beginning to change." For nearly three decades, the internet has worked in a predictable way. Whenever we wanted to know something, we searched for it, clicked through a few websites, compared information, and made a decision. Whether it was buying a new phone, planning a vacation, or researching software for work, businesses knew exactly how people behaved online.
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InvGate

Why Some IT Teams Adopt AI Faster (And How to Close The Gap)

Jul 7, 2026 By Natalí Valle In InvGate
Every IT leader is under pressure to show AI results. Budgets are approved, pilots are launched, and vendors promise transformation within a quarter. Some teams are already running AI agents in production, resolving tickets and answering employees without human intervention. Others are still stuck in proof-of-concept purgatory, six months into a rollout with nothing to show a board. The thing is, AI doesn't fix what's broken in an IT operation, it multiplies what's already there.
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Called it (mostly): Checking in on 2026 predictions so far

Jul 7, 2026 By Sumo Logic, Inc. In Sumo Logic
On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.
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