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Cybersecurity Planning for Small Business Operations

Cybersecurity Planning for Small Business Operations

Feb 13, 2026 By OpsMatters In OpsMatters
Building a solid defense for your company is about more than just installing a single software program. In the current year, digital threats have become a professionalized industry where attackers use advanced tools to target smaller organizations. A recent report noted that 95% of cybersecurity breaches are caused by simple human error. This means that your planning must focus on both technical tools and the people using them daily. By taking a proactive approach, you can protect your assets and maintain the trust of your clients.
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8 Steps Companies Can Take To Strengthen Business Premises Security

8 Steps Companies Can Take To Strengthen Business Premises Security

Feb 13, 2026 By OpsMatters In OpsMatters
Improving the safety of your business premises is a continuous process. New threats appear every year, and physical vulnerabilities can put your team and your assets at risk. Taking a proactive approach helps you stay ahead of potential intruders.
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speedscale

DLP, Traffic Replay, and the Missing Link to Software Quality

Feb 12, 2026 By Matthew LeRay In Speedscale
In Part 1 and Part 2 we explored why testing modern software is so difficult. Production data is the most valuable input for testing, but it’s locked away because it contains PII and sensitive context. Traditional Synthetic Data Generation (SDG) was built for batch databases, not streaming systems. And AI coding agents amplify every weakness in existing test strategies because they need current, realistic data or they generate buggy code based on outdated assumptions.
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speedscale

How AI Coding Is Breaking Synthetic Data Generation

Feb 12, 2026 By Matthew LeRay In Speedscale
Traditional synthetic data generation approaches, still called “Test Data Management” (TDM) by legacy vendor, were designed for a world where applications were monolithic, databases were the center of gravity and change happened slowly. The world looks a lot different now. Modern systems are distributed, often times event-driven, and increasingly powered by streaming data and AI agents. In this environment, batch-oriented synthetic data generation fails to capture how systems actually behave.
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speedscale

Why Your Company Will Be Running OpenClaw Next Year

Feb 12, 2026 By Josh Thornton In Speedscale
You’ve probably heard of OpenClaw. Maybe you’ve seen the demos where an AI agent opens a browser, navigates to your CRM, fills in a form, and files a support ticket. No API required. Maybe you thought “that’s cool but I’d never run that at work.” Your employees already are. According to Permiso’s research, 22% of enterprise customers have employees running OpenClaw without IT approval.
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statusgator

Claude outage - February 10, 2026

Feb 12, 2026 By Colin Bartlett In StatusGator
On February 10, 2026, Claude users around the world began reporting service failures affecting chat sessions, API integrations, and Claude Code workflows. The first verified outage report reached StatusGator at 19:33 UTC. StatusGator issued an Early Warning Signal at 20:24 UTC. Claude did not post an official “Investigating” update until 22:11 UTC. This incident clearly demonstrates the gap between real user impact and official status page updates.
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manageengine

Top tips to organize your digital workspace

Feb 12, 2026 By Monideepa Mrinal Roy In ManageEngine
Top tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’re tackling a growing challenge for modern professionals: organizing digital workspaces in an era where files, apps, and notifications constantly compete for attention. As work becomes increasingly cloud-based and collaborative, a cluttered digital environment can slow teams down, create confusion, and impact productivity. The good news?
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site24x7

Syslog Checks: How to find Insights in the Data Flood

Feb 12, 2026 By Geoffrin Edwin In Site24x7
Every SysAdmin knows the feeling. They are swimming in logs—terabytes of them. Every daemon, service, and kernel subsystem religiously writing their activities to syslog. The data exists. The signals are there. Yet, somehow, incidents still are still unpredictable. How is this even possible? Here's why this happens: Traditional syslog infrastructure was designed for storage and retrieval, not detection and response.
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