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Eliminate Blind Spots and Close Security Gaps with Autonomous Endpoint Management We dive deep into how Ivanti's Autonomous Endpoint Management (AEM) helps organizations gain complete visibility and stay ahead of evolving security threats. Learn how to: Discover Every Device: Eliminate "shadow IT" and blind spots by automatically finding every endpoint on your network. Automate Remediation: Close security gaps in real-time with AI-driven automation that patches and secures devices without manual intervention.

This episode of Ivanti's "IT Insider" series that explores the critical challenges organizations face when moving from AI experimentation to full-scale deployment. The discussion centers on three main themes: The AI Governance Gap: Guests Brooke Johnson and Sterling Parker discuss the "governance gap" where organizations deploy AI faster than they can establish policies. They highlight the risks of Shadow AI (unsupervised AI use) and the importance of having an AI Governance Council to ensure responsible use.

Most AI applications in production right now were shipped on vibes. A developer ran a few queries, liked what they saw, and pushed to prod. Laurie Voss argues that's the core reason so many AI products feel broken, and the fix is simpler to name than it is to do: write the tests.

Your agent writes code fast, but you shouldn't have to see it until it's right. Chunk sidecars are lightweight microVMs that work inside the agent loop, requiring agents to pass pre-push validation in a CI-like environment before they declare they're "done." That means no massive CI pile-ups, no long round-trips that risk resetting your agent's context. You're sending code you already know is good.

Unify cloud, network, and infrastructure telemetry into a single shared intelligence layer to get to root cause faster.

Learn what it’s like to work as an engineer at Cribl, a remote-first company building the AI platform for IT and security data. In this recruiting video, Cribl’s engineering and support leaders share how fully distributed teams collaborate, solve hard data problems, and grow their careers while working from around the world. You’ll hear from managers and leaders in site reliability engineering, security incubation, and technical support about.

Database software helps organize, manage, retrieve, and analyze data in databases. But what does that actually mean in practice? In this video, we explain what database software is using a simple library analogy, show how it helps add, edit, delete, and report on data, and break down the main types of database tools used by developers, DBAs, analysts, and technical teams. You will also see examples of well-known database software, including SSMS, MySQL Workbench, pgAdmin, Oracle SQL Developer, JetBrains DataGrip, DBeaver, and dbForge Edge.