Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Turn Busywork Into Real Work With Egnyte's AI

It’s Friday afternoon, and you need a quick team update. Five minutes, tops, right? You ping Slack. A few people reply, a few don’t. So, you schedule a “quick sync” to get everyone on the same page. Two hours later, you’ve spent your afternoon chasing updates instead of doing actual work. And you’ll do it all over again next week. Now picture this. You’re collecting product demo videos for an agency.

AI Agent Incident Response in Cloud-Native Environments: A Playbook for Modern SOCs

It’s 2 a.m. and the SOC has a Tier 3 page. A customer-service agent on the production cluster has just wired refund payments to seven addresses outside the approved disbursement list. The runbook is unambiguous: isolate the pod, image the disk, image the memory, root-cause within 48 hours.

AI Agent Security Performance: Framework for Evaluating Latency, Throughput, and Observability Overhead

Every AI workload security PoC reaches the same conversation. Platform engineering pushes back: the AI team won’t accept extra latency on inference. The security engineer hunts for benchmarks and finds a contradiction. Langfuse publishes 15% overhead. AgentOps publishes 12%. The security vendor quotes 1–2.5%. None is lying. They measure different layers.

How to Harden AI Agents in Cloud Environments: The 9 Capabilities Your Stack Must Provide

Most “hardening” advice for AI agents is a checklist of things to configure before the agent runs. CIS Kubernetes Benchmark gates. Pod Security Standards baselines. NetworkPolicy templates. None of it’s wrong — it’s just one of four phases, the one your stack already covers. The other three are Observe, Enforce, and Reconcile. They’re where AI agents actually get breached, and they’re where most stacks have nothing.

AI Is Moving Fast in Manufacturing

Artificial intelligence is rapidly becoming embedded across manufacturing environments, from engineering and design to supply chain optimisation and operations. What was once experimental is now being applied in day-to-day workflows, often driven by the need for speed, efficiency, and competitive advantage. Recent research shows that 73% of manufacturing organisations report rapid AI adoption, with 90% ranking AI as a top security priority for 2026. The direction of travel is clear.

The Fastest-Growing AI Categories in the Enterprise Are Also the Riskiest

Security teams often focus governance efforts on the most popular AI tools. But the real risk question isn't which tools employees use most. It's which tools are growing fastest and what data those tools can reach. New data from Cyberhaven Labs shows that the AI categories posting the largest year-over-year growth numbers are the same categories with privileged access to source code, credentials, customer contracts, and internal architecture.

Reviewing Malicious PRs at Scale with AI

As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.

How Professional Network Cabling Keeps Your Business Connected

Reliable connectivity shapes daily operations in offices, clinics, warehouses, and retail spaces. Phones, payment terminals, cameras, printers, and cloud platforms all depend on stable physical links hidden above ceilings and behind walls. Wiring problems often stay unnoticed until voice quality drops, records stall, or service queues lengthen. Professional cabling brings order, capacity, and signal stability to that hidden system. With a sound physical foundation, teams communicate clearly, move information quickly, and keep customer experiences steady under pressure.

Securing Your Future: The Anatomy of a High-Stability Corporate Role

Everyone wants a sense of safety when they sign a job offer. The modern market feels fast and unpredictable, making stability a top priority for workers. You want to know your role exists next year and the year after. Corporate environments provide the structure needed to weather economic storms. These organizations have the resources to support long-term career paths. Stability is not just a paycheck; it is about the environment.