Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AppGuard Critiques AI Hyped Defenses; Expands its Insider Release for its Next-Generation Platform

A new Top 10 Cybersecurity Innovators profile by AppGuard has been released, spotlighting growing concerns over AI-enhanced malware. AI makes malware even more difficult to detect. Worse, they use AI to assess, adapt, and move faster than any cyber stack can keep up. The report advocates for a fundamental change in approach, highlighting the limitations of reactive security measures. Rather than constantly adding or changing detection layers of cyber stacks, the profile emphasizes the importance of reducing endpoint attack surface-a perspective that challenges conventional industry practices.

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.

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.

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.

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.

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.