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motadata

8 Best Patch Management Software for 2026

Jul 6, 2026 By Written by In Motadata
Somewhere in your environment, a patch is sitting in a queue because the last rollout broke something, and nobody wants to run it again. That is the exact failure mode good patch management software is supposed to prevent, and multiplied across a few hundred endpoints, it is exactly the kind of gap attackers look for.
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megaport

Megaport Achieves SOC 2 Type 2 Compliance

Jul 6, 2026 By Amanda Pinaud Diaz In Megaport
Here’s how Megaport’s new certification gives customers more confidence in the security, availability, and reliability of our platform. Trust is built into infrastructure long before anyone notices it. It sits behind the login screen, inside the change process, across the controls that keep systems protected and services available. It shows up in the quiet, operational work that customers rarely see but rely on every day.
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upsun

How to patch 40 Drupal sites without 40 manual deployments

Jul 6, 2026 By Upsun In Upsun
Standardizing the fleet: automated updates for multi-site management There's a specific kind of update that Drupal agencies and enterprise teams dread: a security release in something the whole fleet runs on, the PHP runtime, the database engine, or a shared service, with a patched version available now and a deadline attached. For a team managing a single site, moving to the patched version is an afternoon of work.
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canonical

Building an open source chain of trust: new research uncovers key blockers and ways forward

Jul 6, 2026 By Canonical In Canonical
Canonical is pleased to share its latest research report, “The open source chain of trust.” Based on a survey of 500 DevOps professionals, the report highlights how organizations approach their open source software supply chains. While many companies are moving toward verifiable provenance and automated security workflows, internal misalignment and disjointed approaches remain serious challenges for most teams. Read the report.
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canonical

Beyond safety and security: Why automotive open source demands dependability

Jul 6, 2026 By Jaume Rafols In Canonical
In the traditional automotive world, teams often work in silos: the cybersecurity experts lock down the ports, the quality assurance teams hunt for bugs, and the functional safety engineers track the ISO 26262 compliance. At Canonical, we believe this fragmented workflow causes friction rather than collaboration. You cannot have a safe vehicle that isn’t secure, and you cannot have a secure vehicle running on poor quality code. This friction results in a slow and rigid development process.
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Governance while scaling AI in IT operations

Jul 6, 2026 By Ivanti In Ivanti
Ivanti is a leading enterprise software company that offers a powerful, cloud-based IT and security platform. Our solutions are designed to scale with your business, helping IT and Security teams boost operational efficiency, cut costs and stay ahead of security threats. The Ivanti Neurons platform is cloud-native, providing a unified and reusable foundation for consistent visibility, scalability, and secure delivery. Trusted by over 34,000 customers, including 85 of the Fortune 100, Ivanti empowers organizations to tackle challenges with end-to-end solutions.
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cloudzero

Shipped: Give your Explorer filters & groupings room to scale

Jul 6, 2026 By Kaitlin Woo In CloudZero
The controls at the top of Explorer are great for a simple question. But as your query grows with more group-bys or a stack of filters, those controls start eating into the vertical space you actually want for your data. Now you have the option to move filters and groupings into a dedicated left side panel, so a complex query has room to scale cleanly. Set it once and CloudZero keeps it that way.
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cloudzero

GPT-4 API cost 2026: pricing breakdown and how to estimate it

Jul 6, 2026 By Lyne Carolyne In CloudZero
GPT-4 API pricing spans $0.10 to $30.00 per million input tokens across the model family. GPT-4.1 is the current recommended production model at $2.00 input / $8.00 output per million tokens. Legacy GPT-4 still runs at $30.00/$60.00 per million tokens -- 15x more expensive for no meaningful quality gain. For finance and engineering leaders accountable for AI spend, choosing the right GPT-4 variant is the single biggest cost lever on your bill.
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