Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The challenge isn’t just that AI agents are new. It’s that they blur traditional boundaries of data control, creating hidden sub-processors and uncontrolled data flows. For CISOs, compliance officers, and security leaders, this presents a fundamental governance problem: if you don’t know which AI services are touching your data, you cannot prove compliance.

Public document libraries and hosting services are websites which host content such as academic and legal papers, work templates, and more. Occasionally, these services allow users to freely search, read, and upload documents without requiring a subscription. This can lead to incidents where content is uploaded without a user’s full understanding of the ramifications of making such documents public.

For consumers and businesses, a GDPR compliance checklist helps everyone understand how to protect data, how to manage their data with companies, and what steps can be taken to limit how their data is used or prevent data breaches. Throughout this article, we will discuss in depth what steps should be monitored when following a GDPR compliance checklist to avoid fines or legal consequences.

Download the Gartner 2025 Market Guide for Software Supply Chain Security (SSCS) to learn how to protect your organization. Software supply chain attacks are a top threat to enterprises worldwide. These sophisticated attacks target everything from open-source components and third-party APIs to critical DevOps toolchains. If you’re building software, your supply chain is a prime target.

In August 2025, AWS made native support available to deploy AWS Lambda functions straight from GitHub Actions. With this integration, a lot of the complexity developers have had to undergo conventionally with serverless automatic deployment is eliminated. As a valuable practical improvement, teams will now gain the ability to utilize declarative GitHub workflows with OIDC-secured authentication and auto-packaging of code for simpler CI/CD pipelines.

In a world where data provides companies with a competitive advantage, sharing it amongst other businesses, especially in the same industry, may seem counterproductive. However, in cybersecurity, where every company is a potential target for threat actors and organizations are increasingly interconnected through supply chains, sharing information can significantly enhance a company’s security posture and overall resilience.

Manual ticketing slows response time and invites errors. Forward Networks simplifies this by detecting drift, anomalies, or changes—and automatically creating ServiceNow incidents based on verified data. Incidents are enriched with hostname, config diff, device roles, and severity, saving time and ensuring accuracy. Implementing change management for network modifications has multiple benefits.

What if a single developer pastes sensitive code into a chatbot and, in seconds, exposes your company’s most valuable secrets? That’s not a thought experiment. Incidents at Samsung, Amazon, and other enterprises show how generative AI can turn everyday work into an unintentional leak.

As Generative AI revolutionizes businesses everywhere, security and IT leaders find themselves in a tough spot. Executives are mandating speedy adoption of Generative AI tools to drive efficiency and stay abreast of competitors. Meanwhile, IT and Security teams must rapidly develop an AI Security Strategy, even before the organization really understands exactly how it plans to adopt and deploy Generative AI.

Large Language Models (LLMs) are rapidly evolving from impressive information retrieval tools into active, intelligent agents. The key to unlocking this transformation is the Model Context Protocol (MCP), an open-source standard that allows LLMs to securely connect to and interact with any application — from Slack to Canva, to your own internal databases. This is a massive leap forward.