Legacy DLP solutions, as well as CASB and app-native DLP solutions, face significant challenges in providing comprehensive coverage across modern SaaS, AI apps, and endpoints. Lack of visibility, clumsy deployments, and expensive implementations are common drawbacks of using these tools — and they leave big gaps in data loss prevention. Even today, we’re still seeing the same problems that have persisted for decades in today’s DLP solutions.

Using unapproved tools, software, and devices poses a significant risk to your organization. You never know what vulnerabilities so-called “shadow IT” may introduce, leaving your sensitive data and systems exposed to potential threats. In this article, we define the term shadow IT and explore several reasons why employees use unapproved software.

Picture this: an always-awake, never-tired, high-speed librarian that instantly finds the exact information you need from a massive collection of books. This extraordinary librarian is also capable of processing millions of requests simultaneously, understands partial or misspelled words, and even predicts what you’re looking for before you finish asking.

Jira is a project management tool that helps IT teams simplify their DevOps and PM processes. Also, it supports easy collaboration throughout the team, thanks to the complex issue-tracking system. However, one thing you should be cautious of… It is the accidental or intentional deletion of important issues. Why?

Dynamic Application Security Testing (DAST) is a cornerstone of web application security, allowing organizations to detect vulnerabilities that are actually exploitable in runtime – minimizing false positives. However, managing security findings across multiple tools can prolong risk assessments, prioritization, and remediation. Jit users who want to leverage Invicti, one of the best DAST solutions in the market, have had to manage security findings in a completely separate interface.

Most organizations are using AI in some way today, whether they know it or not. Some are merely beginning to experiment with it, using tools like chatbots. Others, however, have integrated agentic AI directly into their business procedures and APIs. While both types of organizations are undoubtedly realizing remarkable productivity and efficiency benefits, they may not know they are putting themselves at a significant security risk.

Canonical OpenStack delivers exceptional cloud infrastructure management capabilities for enterprise organizations. The platform integrates Ubuntu’s trusted stability with powerful tools like Juju and MAAS, creating a simple yet effective approach to cloud operations.

What is an ”AI agent”? Confusion abounds. There is also some consensus: agents must of course be AI-driven systems. They should have some degree of autonomy, and they should be able to use tools in addition to understanding and reasoning. But why isn't, say, ChatGPT an agent? According to most definitions out there, it actually is. Yet most (including OpenAI themselves) don’t describe it that way.

Security posture management has become exponentially more complex for organizations developing and managing a vast ecosystem of applications. Evolving architectures like microservices, hybrid cloud infrastructures, and frequent release cycles introduce constant change and challenges. Amid these growing challenges are the existing security gaps organizations are struggling to address.

In an era where cyber threats are becoming increasingly sophisticated and widespread, collective insight has emerged as a vital tool in strengthening cybersecurity defenses.