Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.
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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.
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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.
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Understanding Data Governance in the Age of Generative AI

Understanding Data Governance in the Age of Generative AI

Apr 20, 2026 By SecuritySenses In SecuritySenses
Generative AI is changing how organizations create, process, and distribute information. Tools powered by models from companies like OpenAI and Google can produce content, analyze data, and automate workflows at a scale that wasn't realistic a few years ago. That shift creates opportunity, but it also raises a more grounded concern: how do you control, protect, and manage the data feeding these systems?
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Why Brands Use the Same AI Avatar Across Every Campaign Instead of Rotating Influencers

Why Brands Use the Same AI Avatar Across Every Campaign Instead of Rotating Influencers

Apr 20, 2026 By SecuritySenses In SecuritySenses
Here is the reason why major consumer brands have historically invested in long-term spokesperson relationships instead of continually changing faces for different campaigns. Recognition builds up. The more an audience sees a person again and again associated with a brand, the more the presenter and the brand become linked in their minds -and each individual advertisement will have to do less work in establishing credibility before delivering the message.
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wallarm

The Governance Gap: How the EU AI Act Makes API Security a Compliance Imperative

Apr 19, 2026 By Wallarm In Wallarm
Your legal team just handed you a 400-page document and said "figure out compliance." The EU AI Act is live, your organization falls under its scope, which is broader than many expect. Even non‑EU companies must comply if their AI systems are used, deployed, or produce effects within the European Union. In practice, that means that global organizations building or integrating AI models cannot treat the Act as a regional regulation.
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Claude Mythos Just Killed Exploitability as a Security Signal

Apr 19, 2026 By Seemplicity In Seemplicity
The game has changed. For years, security teams used exploitability to decide what to patch first. If a vulnerability had a known exploit, it went to the top of the list. If not, it waited. But with the arrival of next-gen AI models like Claude Mythos, that strategy is officially broken. In this video, we discuss how Claude Mythos has collapsed the barrier to building working exploits. What used to take real skill and significant time can now be weaponized in minutes. When everything is exploitable, exploitability becomes noise.
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protecto

Types of AI Guardrails and When to Use Them (2026)

Apr 18, 2026 By Mariyam Jameela In Protecto
The types of AI guardrails are input guardrails, output guardrails, security guardrails, ethical guardrails, and operational guardrails, each positioned at a different failure point across an inference pipeline. Gartner’s research found that 30% of generative AI projects don’t survive past the proof-of-concept stage, with weak risk controls cited as the leading reason. Most of those projects weren’t badly built. The models worked. The gaps were in what sat around them.
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Stopping AI Agent Attacks: How Falcon AIDR Blocks Prompt Injection

Apr 17, 2026 By CrowdStrike In CrowdStrike
See how attackers can exploit AI agents like OpenClaw using hidden prompt injection techniques—and how CrowdStrike Falcon AIDR stops them in real time. In this demo, we show how a seemingly harmless resume contains invisible malicious instructions that trick an AI agent into leaking sensitive data, including API tokens and system access. Then, we replay the same scenario with Falcon AIDR enabled, where the attack is detected and blocked before any damage is done.
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