Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

vista infosec

Can AI Replace a QSA?

Apr 15, 2026 By Narendra Sahoo In VISTA InfoSec
The question circling boardrooms and compliance departments in 2026 is no longer hypothetical: Can AI replace a QSA? After nearly two decades guiding organizations through PCI DSS audits, gap assessments, and remediation programs, the answer is clear — No, AI cannot replace a Qualified Security Assessor in 2026. But it is fundamentally reshaping what being a QSA means, and professionals who ignore that shift do so at their own peril.
Read Post
seemplicity

Scaling Your Security Program to Match the Speed of Mythos

Apr 15, 2026 By Ravid Circus In Seemplicity
Anthropic’s Project Glasswing and the Claude Mythos model represents a fundamental change in the physics of cyber defense. With the gap between patch releases and weaponized exploits shrinking to hours, traditional manual security triage is now obsolete. Organizations must adopt AI-driven automated remediation.
Read Post
teleport

EU AI Act Compliance: Requirements, Risks, and What to Document

Apr 15, 2026 By Kayne McGladrey, CISSP In Teleport
→ Audit your AI systems against EU AI Act requirements now — validate Annex IV technical documentation, logging, and data governance. The initial August 2025 compliance date has passed, and full penalties begin in August 2026. → Build a continuous compliance evidence chain — document risk management across the full lifecycle (design, development, deployment, and post-market monitoring).
Read Post
salt security

Claude Mythos Changed Everything. Your APIs Are the First Target.

Apr 14, 2026 By Roey Eliyahu In Salt Security
Anthropic just released Claude Mythos Preview. They did not make it publicly available. That decision alone should tell you everything you need to know about what this model can do. During internal testing, Mythos autonomously discovered and exploited zero-day vulnerabilities across every major operating system and web browser. It found a 27-year-old bug in OpenBSD. A 16-year-old vulnerability in a widely used media codec.
Read Post
veracode

Why Securing AI Code Generation is Critical for AppSec

Apr 14, 2026 By Natalie Tischler In Veracode
The revolution is here, but it’s not what we expected. AI coding assistants have transformed software development, with developers shipping code faster than ever before. GitHub Copilot, Amazon CodeWhisperer, and Claude Code have become as essential to modern development as Git itself. The productivity gains are undeniable; what once took hours now takes minutes. But there’s a dangerous blind spot in this revolution: security.
Read Post

Observability and Security for the AI Era

Apr 14, 2026 By Datadog In Datadog
Datadog has always been driven by a broader vision of helping teams understand and operate complex systems. In this session, you’ll hear from Yanbing Li, Chief Product Officer, and Shri Subramanian, Group Product Manager, as they share the latest updates across the Datadog product suite and discuss how that vision continues to shape the platform’s evolution and support the next generation of AI-driven applications.
View Video

A Look At GitGuardian's ML-Powered Contextual EnrichmentAnd Incident Scoring

Apr 14, 2026 By GitGuardian In GitGuardian
In this quick introductory video, Mathieu Bellon, Senior Product Manager at GitGuardian, sits down with Dwayne McDaniel, Developer Advocate, to cover some of the advancements GitGuardian has made by integrating machine learning directly into the secrets security platform. Mathieu describes how engineers and responders can save serious time as by automating contextual analysis, geving the humans in the loop with the best information to be able to take an informed action when it comes to secrets leaks. They also discuss the security implications and where teams can look if they want to opt out or bring their own agents.
View Video
protecto

7 Generative AI Security Risks and How to Defend Your Organization

Apr 14, 2026 By Mariyam Jameela In Protecto
Generative AI creates new attack surfaces that traditional security tools were not designed to address. The biggest generative AI security risks include prompt injection, data leakage, shadow AI, compliance exposure, model poisoning, insecure RAG pipelines, and broken access control. Each one requires a specific defense, not a generic firewall or DLP rule.
Read Post
teramind

How to Track and Monitor Employee AI Usage

Apr 14, 2026 By Teramind In Teramind
Artificial intelligence is rapidly moving from an experimental phase to a fundamental business requirement. While tools like ChatGPT can turn hours of data analysis into minutes of work, they also introduce a new era of Shadow IT and data security risks. If you’re concerned about sensitive spreadsheets being uploaded to third-party AI or want to ensure your team is seeing a true return on investment, you need a clear strategy for monitoring employee AI usage.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.