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.

Why AI Usage Monitoring Is Now Mission-Critical

Shadow AI refers to the use of unapproved AI tools in the workplace without IT’s knowledge or oversight. Cisco’s 2025 Data Privacy Benchmark Study found that 81% of organizations lack full visibility into which AI tools their employees are using (Cisco, 2025). If you’re not monitoring AI use, you’re not managing AI risk. And in 2025, ignorance is expensive.

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.

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.

Enhance your cloud security visibility with the updated AWS CloudTrail app

For organizations operating in the cloud, visibility is everything. You need a reliable source of truth to answer “who did what, when, and where,” whether you’re investigating a security incident, chasing compliance goals, or monitoring operational activity. Enter the Sumo Logic CloudTrail App, your go-to solution for transforming raw AWS CloudTrail logs into meaningful, actionable insights.

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.

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.

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.