Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Data Scientist's Take: Making AI Work for the Enterprise

In retrospect, it’s a lot easier to determine whether or not something has been overhyped. But for the moment? We’re bullish on agentic systems – and their adoption. Is your enterprise ready for the age of autonomous AI? Join Aleksandr Yampolskiy (CEO & Co-Founder, SecurityScorecard) and Ilya Mezyin (SVP, Head of Data Science, Dun & Bradstreet) for this discussion on: SecurityScorecard monitors and scores over 12 million companies worldwide. Find your company's security score for free at SecurityScorecard.com.

The Right Business Outcomes #Protegrity #cybersecurity #datacentric #ai #datasecurity

We are at an inflection point where AI, compliance, and quantum are exposing the dangerous fragility of traditional "envelope" security. The organizations that thrive in the next decade will be those that set their data free by embedding deterministic protection directly into the data itself. The organizations that lead the next decade won't just have better AI, they'll have better data security. Visit Protegrity.com to learn more.

How to Build an Enterprise API Security Strategy (Beyond Gateways and Checklists)

In the last few years, many of the largest data exposures haven’t come from broken pages or leaked databases. They’ve come from APIs. Public reports around large-scale scraping incidents at companies like Meta and LinkedIn showed how exposed APIs, not traditional web flaws, were used to pull massive volumes of user data at scale. This isn’t an edge case anymore. APIs now sit at the center of how enterprises move data between applications, partners, and customers.

Best Cloud Workload Protection Solutions: A Runtime-First Evaluation Guide

What is a cloud workload protection platform (CWPP)? Security for the workloads actually running in your cloud—VMs, containers, and serverless functions doing real work. Unlike posture management (CSPM) that checks configurations, CWPPs monitor processes, network connections, and application behavior to catch threats as they happen. What’s the difference between CSPM, CWPP, CNAPP, and CADR? CSPM scans cloud settings for misconfigurations. CWPP protects running workloads.

Token Torching: How I'd burn your AI budget (so you can fix it)

I spend most of my time thinking like a criminal. Not because I’m edgy, but because that’s literally the job. And lately, everywhere I look, I see the same thing: People are exposing MCP endpoints like they’re REST APIs, and forgetting they’re actually money execution engines. So let’s talk about Token Torching. Yes, I invented another name. This isn’t data theft. It’s not taking your service down.

LLM Security Checklist: Essential Steps for Identifying and Blocking Jailbreak Attempts

If your organization uses a private large language model (LLM), then it’s time to start thinking about countermeasures for jailbreaking. A jailbroken LLM can lead to leaked information, compromised devices, or even a large-scale data breach. Even more troubling: Jailbreaking LLMs is often as simple as feeding them a series of clever prompts. If your customers can access your LLM, your potential risk is even higher.

Introducing your AI interaction layer

AI is everywhere, but without a consistent and secure way to connect it to real systems, it remains fragmented, difficult to govern, and hard to scale. Today, we’re introducing your AI interaction layer. Tines unifies AI agents, copilots, and Model Context Protocol (MCP) servers and clients in a single, secure environment. It gives teams a practical way to connect AI to systems and put it to work seamlessly across operations.