Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From 1% to 26%: How AIDA Orchestration Fixes the Remedial Training Gap

As we speak, bad actors are using AI agents to do their dirty work. Our own research tells us 85.8% of phishing attacks were AI-driven in the past 12 months. Agentic power is helping social engineering and malware get smarter, faster and harder to detect. But enough of what you probably already know. Let’s talk about how we can address these risks. Our CISO Advisor Dr. Martin Kraemer wrote recently about AI agents being used for good.

AI Is Reshaping Cyber Risk Faster Than Most Boards Realize

Artificial Intelligence is no longer a future cybersecurity concern. It is actively reshaping how attacks are conducted, how organizations respond, and how business leaders must think about enterprise risk. While much of the conversation around AI has focused on productivity and innovation, threat actors are already leveraging AI to make cyber-attacks faster, more scalable, more convincing, and increasingly difficult to detect.

Introducing the Cloudflare One stack: agent-powered deployment

Adopting or migrating to a Zero Trust network architecture can be a daunting task. Before a single policy changes, teams have to recall how their network is actually built: which applications exist, their authentication and authorization constructs, how traffic flows between them, and any assumptions the current architecture makes. This hands-on process requires practitioners to decode the intent behind every security and routing policy in place.

Bringing more agent harnesses and frameworks to Cloudflare, starting with Flue

2026 is the year agent harnesses go to production. The software that controls the model’s access to the outside world — harnesses like Codex, Claude Code, OpenCode, Pi, and Project Think — has matured to the point where teams are deploying agents as real, load-bearing infrastructure, not just prototypes. But building agents that survive production is hard.

1Password + Kiro: Trusted Access for AI-Powered Development

AI agents now write code, fix bugs, and ship to production. But in order to do useful work, agents require credentials. At 1Password, one of our core AI security principles is that raw credentials should never be directly exposed to LLMs, but all too often, that’s exactly what happens: most teams sacrifice security for speed and hand agents secrets in plaintext.

Aembit Extends IAM for Agentic AI to Microsoft Copilot Studio

Aembit on Tuesday announced support for Copilot Studio, extending its identity and access management capabilities to Microsoft's enterprise AI agent platform. The integration, unveiled at Identiverse 2026, gives security teams the tools to manage what Copilot Studio agents can access, under what conditions, and with a complete record of every decision. The company also released an interactive enterprise AI readiness checklist to help organizations assess their agent deployments before they go into production.

Teleport Debuts Delegated Agentic Identity and LLM Proxy in Beams Public Beta, for Containing Agents in Production Infrastructure

Two foundational identity concepts - controlling the scope of agent roles and constraining what they can access - now have a production implementation in Beams, Teleport's trusted, ephemeral agent runtime.