Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI vs. Legacy Systems: Why Your Old Documentation Isn't Safe

Jan 16, 2026 By A10 Networks In A10 Networks
AI vs. Legacy Systems: Why Your Old Documentation Isn’t Safe In this A10 Networks discussion, "APIs are the Language of AI: Protecting Them is Critical," security experts Jamison Utter and Carlo Alpuerto tackle one of the most overlooked threats in modern IT: the "specter in the shadow." For years, many organizations relied on "security through obscurity"—the idea that if a system is old or undocumented, it's safe from attackers. However, AI has changed the rules. These systems can now decipher legacy documentation and communicate with obscure systems faster than a human ever could.
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appguard

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

Jan 15, 2026 By AppGuard
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.
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The Right Business Outcomes #Protegrity #cybersecurity #datacentric #ai #datasecurity

Jan 15, 2026 By Protegrity USA Inc. In Protegrity
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.
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The Data Scientist's Take: Making AI Work for the Enterprise

Jan 15, 2026 By SecurityScorecard In SecurityScorecard
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.
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Meet GitGuardian's Machine Learning-Powered Risk Scoring

Jan 15, 2026 By GitGuardian In GitGuardian
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%+.
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apono

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

Jan 15, 2026 By Rom Carmel In Apono
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.
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