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.

Why Did CrowdStrike Buy SGNL? It's all about AI

Security powerhouse CrowdStrike made headlines this week with a major acquisition in the identity space with their purchase of SGNL for a reported $740 million. If you’re wondering why did CrowdStrike buy SGNL, you’re asking the right question. And you’re probably not alone. Over the past year, we’ve watched some of the largest security platforms in the world spend real money acquiring identity security companies.

Do We Have Full API Visibility Across Our Entire API Ecosystem?

Over 68% of companies have suffered API security breaches at a cost exceeding $1M. The question is not whether your APIs are vulnerable, but whether you can detect the threats in time. With API traffic comprising 71% of all web activity, the digital backbone of the modern enterprise is both our greatest strength and most exploited threat surface. Are we seeing every single API? These statistics reveal a concerning reality for most organizations.

Meet GitGuardian's Machine Learning-Powered Risk Scoring

The GitGuardian Platform now automatically ranks every secrets incident with a risk score from 0–100, turning alert floods into a prioritized, trustworthy work queue. Scores are computed from incident context (like validity, exposure, where it was found, and exploitability) and build on existing ML capabilities like Secret Enricher and our False-Positive Remover, which cuts false positives by 80%+.

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.