Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Arctic Wolf

How AI Is Transforming Detection Engineering

May 20, 2026 By Joshua Riccio In Arctic Wolf
One of the most important shifts AI enables in detection engineering is changing where engineers spend their time. Traditionally, a significant portion of detection development effort is consumed by implementation details: writing complex SQL queries, building enrichment pipelines, handling edge cases, tuning rule logic, writing tests, documenting detections, and repeatedly iterating on detection logic. Those tasks are necessary, but they are also time-consuming.
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reach security

Misconfigured Security Controls Open the Door for Storm-2949

May 20, 2026 By Garrett Hamilton In Reach Security
The Microsoft Defender Security Research Team and Microsoft Threat Intelligence documented a campaign in which Storm-2949 abused Microsoft Entra ID accounts to exfiltrate data from Microsoft 365 and Azure environments. The attack shows how cloud intrusions increasingly unfold through identity systems, administrative features, and legitimate platform capabilities rather than obvious malware or traditional endpoint compromise.
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cyberhaven

Building the Post-Mythos Security Organization: From Episodic Security to Continuous Assurance

May 20, 2026 By Cyberhaven's Office of the CISO In Cyberhaven
In an era where AI accelerates both innovation and adversarial capability, security leaders are confronting a difficult reality: traditional approaches to cyber defense are no longer sufficient. Cyberhaven’s Office of the CISO is responding with a forward-looking strategy designed not simply to keep pace with emerging threats, but to fundamentally redefine enterprise readiness in a post-Mythos world.
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Guarding the Manufacturer's Core: Securing Intellectual Property in the Age of AI at Renesas

May 20, 2026 By Netskope In Netskope
Organizations like Renesas face critical risks when utilizing AI, as these platforms often incorporate user-submitted data into their models. Significant security incidents have occurred where sensitive source code, firmware, and proprietary designs were inadvertently made public after being uploaded for testing. A major business risk involves the potential loss of intellectual property, which can directly impact an organization's primary revenue streams. Beyond data leakage, AI presents risks through "poisoning" and the fact that AI-generated output is frequently inaccurate.
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protecto

AI Security Architecture: Zero Trust Patterns for GenAI and ML

May 20, 2026 By Mariyam Jameela In Protecto
There is no doubt that AI, or Artificial Intelligence, is rapidly changing how businesses are operating. However, it also brings new risks when it comes to data. As per industry reports, 72% of companies mention that there has been a significant increase in organizational cyber risks. It is therefore necessary to have a strong AI security architecture that helps to protect sensitive information. In light of this, 85% of organizations are now increasing their cybersecurity budget.
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Codex builds at AI Speed, 1Password Secures it

May 20, 2026 By 1Password In 1Password
Secure secrets for agentic workflows with 1Password MCP Server and Codex As AI agents write, execute, and ship production code, they need access to systems like databases, APIs, and deployment pipelines. With 1Password Environments MCP Server for Codex, instead of putting credentials directly into prompts or files, we provision a secure runtime environment where secrets are mounted, used, and discarded, with user authentication required at the moment of access.
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kovrr

Balancing AI Innovation and Risk: Enhance Organizational Resilience

May 20, 2026 By Kovrr In Kovrr
‍ Artificial intelligence (AI) offers businesses vast opportunities to boost efficiency, improve decision-making, and innovate faster. Yet, these benefits come with significant risks that can impact business operations and resilience if not managed carefully. This article explores how organizations can balance leveraging AI’s advantages while controlling its inherent risks. ‍
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Govern AI agents the right way with Identity Manager by One Identity

May 20, 2026 By One Identity In One Identity
AI agents are becoming an inseparable part of identity governance, sometimes being created by other AI agents and acting proactively across platforms at machine speed — but who’s watching them? Identity Manager 10.0 by One Identity answers that question. Hear Ingrid Thorpe, director of product management for Identity Manager, explore how the solution governs agentic workflows, tackles agent-specific risks and integrates across cloud and enterprise platforms, holding non-human identities (NHIs) accountable.
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Zenity

The Authorization Trap: Why Your IAM Controls Don't Cover AI Agent Risk

May 20, 2026 By Cinthia Portugal In Zenity
If there's one idea that shaped RSA 2026, it was identity. Vendor booths, keynotes, conversations. All roads led back to the same instinct: control identity, control access, control risk. That instinct is directionally correct. Identity governance is foundational. But identity answers only part of the question agentic AI is asking. Here's the part it doesn't answer: authorization tells you what an agent was permitted to do. It says nothing about whether what it actually did was appropriate.
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Zenity

AI Agents, Enterprise Scale, No Compromises: Now via AWS

May 20, 2026 By Ben Kliger In Zenity
A couple of years ago, AI agent security was a niche conversation. The practitioners who took it seriously were a small group of researchers, a handful of forward-looking CISOs, and a few founders who had watched the attack surface forming in real time. The broader market hadn't caught up yet. It has now. Enterprises are deploying AI agents at scale across platforms. The productivity gains are real. The competitive pressure to adopt is real.
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