Browsing: security

As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important. Drawing on work with NVIDIA OpenShell, agent developers, open-ecurity teams at NVIDIA offer their perspective on the emerging agent stack—including the role of each layer and where security should live

In August 2026, GitLab Inc. released GitLab 19.3 and broadened its Duo Agent Platform, AI Gateway, Secrets Manager, and agentic security tools, giving enterprises, especially regulated and data-sensitive organizations, more control over how they deploy AI and manage credentials across their software development lifecycle.

Cybersecurity and physical security are becoming increasingly intertwined, and experts say that connection is raising new concerns about cyber threats and the potential for cyber terrorism.

Most security teams know where sensitive data is stored. Very few know where it goes, or what it becomes. As data moves across more environments, changes form, and enters AI workflows, security teams lose the context needed to enforce policy, investigate exposure, and prove what happened.

AI is forcing enterprises to rethink security risk. Much of the conversation focuses on attackers using AI to scale phishing, automate reconnaissance, improve social engineering, and accelerate malware development. There is also a valid concern around how AI systems themselves are built, governed, and secured.

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There’s a common misconception that artificial intelligence (AI) is making technology professionals less necessary. In cybersecurity, the opposite is true. As digital threats grow more sophisticated, the demand for skilled information security analysts has never been higher, and the data backs that up decisively.

AI-enabled attacks are shrinking the time between intrusion and operational impact. Yet many government agencies manage IT infrastructure, cybersecurity, data and artificial intelligence (AI) through separate leadership structures.

If you are a malicious hacker, cybersecurity professionals may very well be the worst people in the world to try to hack, as there is a very good chance they are going to catch you.

TL;DR:Cybersecurity focuses on defending systems, data, and infrastructure from attacks, while data science uses statistics and machine learning to extract insights and drive business decisions. Both fields offer high salaries, fast growth, and strong job security. The right career depends on whether you prefer protecting and mitigating risk or exploring data to build predictive value.