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AI Table Stakes: The Enterprise Reality Check

This 5-minute critique pulls back the curtain on where AI is succeeding and where the biggest challenges remain. Experts expose the gap between market hype and reality: the failure to deploy fully autonomous production agents and the missing human-machine interface for non-developers. It’s a challenge to the entire industry.

How to use Samsung Knox Mobile Enrollment (KME) to enroll your devices with AirDroid Business

Welcome to this tutorial video where we walk you through the process of using Samsung Knox Mobile Enrollment (KME). AirDroid Business is a mobile device management (MDM) solution that helps you manage all your Android devices effectively and securely. Follow us.

ignio AI Agent for IT Event Management | AI Agent for alert noise reduction

Discover how ignio’s AI-powered agents are transforming IT event and alert management by combining Agentic AI, AI/ML algorithms and automation. In this video, we introduce ignio AI Agent for IT Event Management — a purpose-built, autonomous agent designed to reduce alert noise, group related alerts and predict future events. Whether you’re managing a large-scale enterprise infrastructure, cloud-native environment, or hybrid IT setup, this AI agent empowers your SRE and IT operations (ITOps) teams with real-time observability, automated alert correlation and suppresion, and predictive intelligence What You’ll Learn in This Video.

Securing Vibe Coding: JFrog Introduces AI-Generated Code Validation

A fundamental shift in software development is already here. Gartner predicts that by 2028, 75% of enterprise software engineers will use AI code assistants – a massive leap from less than 10% in early 2023. While this AI-driven speed creates a competitive advantage, it also opens a dangerous new front in the battle for software supply chain security.

Beyond Models: JFrog AI Catalog Evolves to Detect Shadow AI and Govern MCPs

When we first introduced the JFrog AI Catalog, it was our mission to provide the industry with a single system of record for governing the complex landscape of internal, open-source, and external commercial AI models. This foundational step was critical for enterprises to move from uncontrolled innovation to delivering AI with trust and confidence. However, the AI landscape is ever-evolving. The challenge for today’s enterprise is already evolving beyond simply managing a library of known models.

Outsourcing Video Editing: Why It Matters

In today's fast-paced digital world, creating videos is essential. Whether to market your brand, grow your YouTube channel, or keep up with social media trends, the demand for multimedia content is increasing. But editing that well? That takes time, skill, and resources. That's where outsourcing video editing comes in. You delegate the technical and creative work to experts. You stay focused on planning, content, and strategy. And you get polished, professional visuals faster.

Top 8 AI Editing Software That Can Change a Person's Voice in 2025

Having worked extensively in audio production and voice-based media, I evaluate every voice changer with a professional, meticulous testing process. I focus on realism, interface usability, and editing precision. Over the years, I've tested most major desktop voice editors, examining how accurately they reproduce natural tones and avoid robotic or distorted outputs. Only a few programs truly balance advanced functionality with user-friendly controls.

Part 3: Building a Production-Grade Traffic Capture and Replay System

At a previous company, we had over 100 microservices. I’d make what seemed like a simple change to one service and deploy it, only to discover it broke something completely unrelated. A change to the user service would break checkout. An update to notifications would break reporting. We spent more time fixing unexpected bugs than shipping features. The problem was our test scenarios were too simple.

Weaving AI into the fabric of the company | incident.io

At incident.io, we’ve spent the past year shifting how we work to incorporate the AI into both how we build and what we build. The result? AI has become a fundamental pillar of our company. This is the story of how we built reliable AI for reliability itself — reshaping how teams manage and resolve incidents. From early experiments to a company-wide culture of building with AI, this is how we’re redefining incident response for the future.

The AI Visibility Problem: When Speed Outruns Security

Harness surveyed 500 security practitioners and decision makers responsible for securing AI-native applications from the United States, UK, Germany, and France to share findings on global security practices. The State of AI-Native Application Security 2025 dives deep into AI visibility and the changing landscape of security vulnerabilities. If 2024 was the year AI started quietly showing up in our workflows, 2025 was the year it kicked the door down.