LLMScanBench Q3 2026: Choosing the Right Approach for AI Vulnerability Discovery
Compare LLM vulnerability scanners with AI SAST on precision, recall, speed, cost, and consistency to choose the right AI security approach.
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How Insurtech Is Digitising the Rental Car Claims Process: What the Industry Looks Like in 2026
Rental car claims in 2026 run on a different track than they did five years ago. Paper forms, email chains, and weeks of silence have given way to mobile-first workflows where travelers photograph damage, upload invoices, and receive reimbursement decisions within days. By 2026, claims processing has become more immediate and data-driven, driven by artificial intelligence models trained on millions of damage images and invoice line items. The rental car insurance market is valued at over $11 billion, driven by digital-first conveniences and a new generation of standalone providers.
Why Is GPU Utilization Low During AI Training? 6 Bottlenecks to Check
You bought the GPUs to make AI training faster. So why are they sitting idle? When GPU utilization drops during a training run, the obvious answer is to blame the accelerator. Maybe the workload is too small. Maybe the GPU isn't powerful enough. Maybe it's time to add more hardware. But what if the GPU isn't the problem at all? A training workload is only as fast as the infrastructure feeding it.
Hyperping MCP: Run Incidents, Status Pages and Maintenance
Summarize with ChatGPT Claude The Hyperping MCP server now has 49 tools: 28 that read and 21 that write. An agent connected from Claude Code, Cursor, Codex or another MCP client could already manage monitors, publish a status page incident and schedule maintenance. It can now do most of the rest: declare an incident and page on-call, acknowledge and escalate it, correct what was posted on the status page, create and configure status pages, and reschedule, end or cancel maintenance.
From Meeting Rooms to the Contact Center Floor: How Krisp Assists Agents on Every Live Call
Contact centers are where companies do their talking at scale. Thousands of agents, dozens of live calls each per shift, and on the other end a stranger with a problem and a finite amount of patience. A ten-second lookup, repeated across a few million calls a year, is a budget line.
Database governance in the AI era: Framework, risks and best practices
AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM’s 2025 research found that 97% of organizations that reported a breach involving an AI model or application lacked proper AI access controls. The risk is easy to see. Give an AI agent too much access and it can expose or alter data in seconds. Feed it poor-quality data and it may produce a confident but incorrect answer.
How to Build an App on Base44 with a Production-Ready Aiven Database
Base44 is fast at the part that used to take a week. Describe an application, and you have a working interface in minutes. Base44's built-in Cloud backend, enabled by default, is a reasonable place to start. But it doesn't put your data in an account you already own, in the cloud and region you picked, next to the rest of your data platform. That's the gap this post closes.
How Do You Govern Autonomous AI Agents?
As AI agents gain access to sensitive data, tools, and enterprise systems, effective governance requires real-time visibility, controls, and recovery. This Zero Ticket Minute explores how trusted autonomy can help organizations scale agentic AI safely.
AI Writes Code Fast. Can You Trust What Gets Deployed?
AI has solved writing code fast. The new bottleneck is trusting what actually reaches production. Here's what that requires. Based on the DevOps.com webinar "AI Writes Code Fast. Can You Trust What Gets Deployed?" presented by Harness, August 12, 2026. AI has removed the bottleneck in writing software. Code that used to take days now takes minutes. But speed of creation and trustworthiness of what reaches production are two very different things.
How to Choose the Right AI Security Solution: An Enterprise Buyer's Guide
Compare the best AI security solutions in 2026: LLM security, model monitoring, and AI-powered SOC tools, plus buying criteria and vendor questions.