Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why You Should Care About Vendors Using AI Products, and How Bitsight Helps You Find Out

Artificial intelligence—it’s a term you’ve likely encountered more than once today, and this won’t be the last. And while it reshapes how businesses operate, it’s also introducing new risks. As organizations embrace AI-powered tools for efficiency and innovation, it becomes essential to understand what technologies your vendors rely on, and what those choices mean for your cybersecurity posture.

The Attack On Browser-Based AI Agents Is Coming

We are working tirelessly on our AI First strategy to better protect both humans and their AI tools. KnowBe4 and its advocates spend a lot of time talking to audiences about AI-enabled threats, and rightly so, as recently covered in dozens of previous posts, including this recent one. This year and next promise to be an explosion of cyber threats better enabled by AI. After years of saying AI attacks would be coming, they are here and will be the way that most cybercrime is committed forevermore.

Why Remote Devs Are AI's Next Big Bet?

The tech world is buzzing about something that's reshaping how we think about software development. Remote developers aren't just convenient anymore; they're becoming the secret weapon for companies diving into AI. Recent data shows that 79% of managers feel like their team is more productive working remotely or hybrid environment. This isn't just about flexibility; it's about tapping into a global brain trust that's perfectly positioned to handle AI's demands. Companies are discovering that the best AI talent doesn't always live in Silicon Valley, and that's changing everything.

Best AI Red Teaming Tools: Top 7 Solutions in 2025

There was a time when “AI red teaming” sounded like a novelty. Now, it’s fast becoming table stakes. If your organization is shipping machine learning or LLM-powered systems into the real world (especially in sensitive domains), you need to know how those systems behave under pressure. That’s where AI red teaming tools come in. These tools help teams stress-test AI the way it will actually be used (and misused).

Understanding AI compliance and its importance for organizations

As AI capabilities grow, organizations are adopting it for compliance monitoring, risk analysis, and data processing. However, increased use also introduces new risks, making strict regulation essential, especially in sectors where sensitive data is involved—like finance, insurance, and healthcare. Mishandling this information can lead to reputational damage, legal action, or hefty fines.

When AI Agents Go Rogue: What You're Missing in Your MCP Security

We’re at a major inflection point in how software operates. And I don’t say that lightly. For the past decade, we’ve seen a steady evolution toward microservices, APIs, and cloud-native architectures. But Agentic AI is something different. We’re no longer talking about static services. We’re now dealing with autonomous agents that reason, remember, and act in real-time across live environments.

Securing the agentic future: Where MCP fits and where it doesn't

AI agents are rapidly transforming how software is accessed, operated, and integrated, such as automating workflows, calling APIs, and interacting with tools and SaaS platforms on behalf of users. This paradigm unlocks powerful new capabilities, but it also raises urgent questions about how sensitive data, especially credentials and secrets, should be managed.

Now on AWS Marketplace: MCP Server for Trelica by 1Password

SaaS sprawl and shadow IT create significant security vulnerabilities, exposing organizations to unmanaged apps, unauthorized access, and compliance risks. It’s simply not enough to secure access to the applications you’re actively managing. You also need to secure everything else. That’s one of the reasons we acquired Trelica earlier this year. Organizations must be capable of identifying and managing applications that are used outside of IT and security’s purview.

Developers fly the plane: AI guardrails for secure cloud innovation

Developers now chart courses through environments as dynamic and unpredictable as open skies, plotting efficient courses through shifting clouds of technology to reach ambitious goals. Increasingly, AI assistants are copilots on these journeys—streamlining workflows, reducing repetitive tasks, and enabling teams to navigate more complex terrain with speed.