Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-Powered Freelancing Marketplace for Professionals and AI Agents

The rise of AI-powered tools has completely changed the game for freelancers. It is not just a matter of having a polished profile or a good job title anymore. The companies now focus a lot on the problem-solving skills, quick delivery capabilities of the freelancers as well as their proficiency in using various AI tools like ChatGPT, Claude, and Copilot in day-to-day work scenarios. In that context, Ugig.net: The Marketplace for AI Agents fits naturally into the conversation, because it reflects a growing demand for faster execution, clearer communication, and a smoother path from idea to completed work.

Data Integrity: Protecting Your Campaign's SMS Infrastructure

Every political campaign relies on getting messages out to voters fast. A solid tech setup is the backbone of your efforts. Protecting the setup means keeping your data safe and accurate. It prevents small leaks from becoming massive problems later on.

6 Strategic Implications of AI for Security Leaders in 2026

There is a structural shift happening in enterprise environments that most security leaders recognise, but few have fully adapted to. AI is now embedded, decentralised, and operating across core workflows. At the same time, governance models are still largely built on assumptions that no longer hold: that tools are known, data flows are observable, and behaviour follows policy. The result is a widening gap between perceived control and operational reality.

Microsoft Purview Brings AI Readiness, Data Security, and Continuous Compliance

Microsoft Purview is a powerful platform, but power without expertise can lead to underutilization, misconfiguration, and missed opportunities. Across industries, organizations are grappling with a common set of challenges: The stakes are high. A single compliance incident can cost organizations between $100,000 and $5 million in fines and penalties. And that figure doesn't account for the reputational damage, operational disruption, and remediation costs that follow.

Why More AI Doesn't Guarantee Better Vulnerability Management Outcomes

AI is everywhere in vulnerability management right now. Technology vendors in all areas are adding new features and making bold claims about revolutionary capabilities. But here's the reality, especially for vulnerability and exposure management: more AI doesn't automatically mean less risk. The gap between AI's promise and its practical impact in enterprise vulnerability management is wider than most organizations realize.

Camille Stewart Gloster on how AI systems can help you wade through log data and get more done

AI and machine learning are already being used in cybersecurity to help reduce the "noise of all the indicators" that security teams receive. These systems can serve as a "first line of defense" by setting up potential response actions. However, organizations need to ensure they keep human analysts in the loop because contextual knowledge and human judgment remain critical. Data Security Decoded is available on our YouTube channel!

Thinking long-term growth in an AI-dominated industry with Stel Valavanis of onShore Networks [302]

Today we're speaking with Stel Valavanis, Founder and Chairman at onShore Networks and Co-Founder at The Gallery Building, about sustaining a security company over three decades of industry changes. We also dive into investing in start ups and how founders can think long term about governance and growth.