Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

vanta

Your auditor is about to ask about AI agents. 9 things they'll want to see

Apr 20, 2026 By Vanta In Vanta
Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market. Studies show that AI adoption outpaces understanding.
Read Post
keeper

Why Identity Security is Key To Managing Shadow AI

Apr 20, 2026 By Ashley D'Andrea In Keeper
Employees are adopting Artificial Intelligence (AI) tools to enhance their productivity, but they rarely consider the security implications of doing so. When an employee pastes sensitive customer data into an unapproved AI tool, that data is processed by a third-party model outside the organization’s control, often leaving no audit trail for security teams to review.
Read Post
CrowdStrike

Frontier AI Is Collapsing the Exploit Window. Here's How Defenders Must Respond.

Apr 20, 2026 By CrowdStrike In CrowdStrike
The defensive timeline in cybersecurity is changing faster than most organizations are prepared for. For years, defenders operated with an assumption that there would be some delay between vulnerability disclosure and exploitation. That delay created a window for patching, mitigation, and detection. It wasn’t perfect, but it gave security teams time to act. Frontier AI is removing that buffer and changing how organizations must consider cyber risk.
Read Post
armo

AI Workload Security on GKE: Evaluating Google Cloud Native vs Third-Party Solutions

Apr 20, 2026 By Yossi Ben Naim In ARMO
A CISO running AI agents on GKE has watched three Google product launches in eighteen months — Model Armor, expanded Security Command Center coverage for AI workloads, additions to Chronicle’s curated detection content — and is being asked whether the GCP-native stack is now sufficient. The vendor demos and the Google Cloud blog say yes. The 2 AM analyst experience says something different.
Read Post
1Password

What we learned using AI agents to refactor a monolith

Apr 20, 2026 By Nancy Wang, Wayne Duso, K.J. Valencik In 1Password
AI agents are increasingly used to refactor large codebases, but many teams lack a clear understanding of where they succeed and where they fail. At 1Password, we applied agentic tooling to a multi-million-line Go monolith, and in this blog we'll share what worked, what broke, and what it means for teams adopting AI in production systems.
Read Post
Arctic Wolf

Introducing Decipio: A Community Tool to Catch Credential Theft in the Act with Defense First AI

Apr 20, 2026 By Ismael Valenzuela In Arctic Wolf
Today, Arctic Wolf is announcing Decipio, a new community‑shared cybersecurity tool designed to help defenders catch attackers while they’re trying to steal credentials inside a network. Credential theft is one of the most common ways cyber attacks begin and one of the hardest to detect early. In many cases, there’s no alert, no obvious warning, and no immediate sign that anything is wrong.
Read Post
outpost 24

AI Penetration Testing: Protecting LLMs From Cyber Attacks

Apr 20, 2026 By David Ketler In Outpost 24
88% of organizations now regularly use artificial intelligence (AI) in at least one business function. While adoption of AI technologies has accelerated rapidly, security measures often lag. The rush to roll out AI has, in many cases, overshadowed essential testing and safety protocols. This is particularly a worry when AI and Large Language Models (LLMs) become deeply embedded within organizational workflows and systems in a way that most software isn’t.
Read Post

Why AI Security Needs More Than One Tool #shorts #ai

Apr 20, 2026 By Protecto In Protecto
Why AI security needs more than one tool Most teams believe a single cybersecurity tool—like WAF, EDR, or API security—is enough to protect their AI systems. But that approach is outdated. AI security is not one layer—it’s a full stack problem. Discovery – Identify Shadow AI and unknown AI usage Build-Time Security – Prevent data poisoning & model risks (MLSecOps) Runtime Security – Stop real-time AI attacks and agent misuse Governance (AISPM) – Ensure visibility, compliance, and policy control.
View Video
archTIS

AI Guardrails - DSPM Enters a New Era of Control and Visibility

Apr 20, 2026 By Wade Barisoff In archTIS
You cannot turn a corner without entering the world of AI. I was in a big box home improvement store the other day and there was a manufacturer touting the AI built into their refrigerator! Children’s toys, personal electronics, and even cat litter boxes are now selling AI-assisted products. I am a technology early adopter, and where I’ve seen good uses of AI, we are in the phase of “throw AI into everything” mode, as we do not know what will stick.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.