Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Snyk

The 89% Problem: How LLMs Are Resurrecting the "Dormant Majority" of Open Source

Mar 4, 2026 By Noa Yaffe-Ermoza In Snyk
AI coding assistants are quietly resurrecting millions of abandoned open source packages. For the last decade, developers relied on a simple heuristic for open source security: Prevalence \= Trust. If a package was downloaded millions of times a week (lodash, react, requests), we assumed it was "safe enough" because thousands of eyes were on it. If it was obscure, we approached with caution.
Read Post
aikido

Rare Not Random: Using Token Efficiency for Secrets Scanning

Mar 3, 2026 By Zach Rice In Aikido
In Regex is (almost) All You Need, we learned that using a combination of regular expression patterns, entropy, and rule-based filters are an effective way to detect candidate secrets. Regex is used for casting a wide net to identify candidates. Entropy is used as a primary filter on the captured candidates and additional filters like presence of commonly used english words, or filtering on known “safe” files like go.sum are applied last.
Read Post
LimaCharlie

The Next Market Disruption: Agentic SOC

Mar 3, 2026 By LimaCharlie In LimaCharlie
Predicting a market disruption is difficult, but the vast rewards of being correct make it worthwhile. Unfortunately, prediction becomes tougher when marketing teams start labelling everything as a "market disruptor". Much like the stock market, if something is being sold to you as “the investment of a lifetime”, it almost certainly is not. Yet market disruptors do exist, and the organizations that identify them enjoy generational success.
Read Post
WatchGuard

The Machine War: Why MSPs Must Move from AI-Assistance to Autonomy

Mar 3, 2026 By Adam Winston In WatchGuard
In 2026, the digital landscape has shifted from a world of "AI assistants" to one of autonomous operators. For managed service providers (MSPs), this evolution marks the end of the traditional "land and expand" human services playbook and the beginning of a high-speed era of machine-on-machine warfare.
Read Post
protecto

What is a Prompt Injection Attack?

Mar 3, 2026 By Ashish Kamathi In Protecto
AI tools are quickly becoming part of everyday business workflows. From chatbots to automation tools, large language models now handle sensitive tasks and data. But with this growth comes new security risks. One of the biggest emerging threats is the prompt injection attack, in which attackers manipulate inputs to cause AI systems to ignore their original instructions. Unlike traditional cyberattacks, this method exploits weaknesses through language rather than code.
Read Post
mend

AI Compliance: 5 Key Frameworks, Challenges, and Best Practices

Mar 3, 2026 By Tiffany Jennings In Mend
AI compliance ensures AI systems follow laws, ethics, and standards by managing risks like bias, privacy violations, and lack of transparency through robust governance, documentation, and continuous monitoring, using frameworks like the EU AI Act and NIST AI Risk Management Framework (RMF) to build trust and avoid penalties in developing, deploying, and operating AI.
Read Post

AI Moves Fast, Privacy Has to Move Faster with Ojas Rege

Mar 3, 2026 By Rubrik In Rubrik
In this episode, Caleb Tolin welcomes Ojas Rege of OneTrust for a practical, wide-ranging conversation on how data privacy and governance must evolve alongside enterprise AI adoption. Ojas explains why AI fundamentally changes the privacy conversation: the same systems that enable organizations to move faster can also cause harm faster when guardrails aren’t in place. From agentic AI systems that dynamically repurpose data to general-purpose models that blur traditional notions of “intended use,” the challenge isn’t just compliance—it’s trust.
View Video

Copyright © 2026 OpsMatters™. All rights reserved.