Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Opti9 recently announced it has been approved as an authorized reseller for Anthropic models through Amazon Bedrock, further strengthening its ability to deliver secure, enterprise-grade AI solutions on Amazon Web Services (AWS). In October, AWS enabled its Solution Provider Partners to resell Amazon Bedrock, a fully managed service that provides access to a wide range of leading foundation models from top providers.

The debate over lift and shift versus refactoring is one of the most persistent in cloud migration planning. It’s also frequently framed as a binary choice when it shouldn’t be. Most organizations will do both — the question is which approach applies to which workload, and in what order. Getting this decision wrong is expensive. Over-refactoring adds months to migration timelines and cost that’s difficult to justify.

For years, AI was the defender’s advantage. In the last 30 days, that narrative inverted — AI is now leaking data, generating malware, refusing to shut down, and erasing billions in market value. AI-enabled attacks rose 89% year-over-year. A single model leak wiped $14.5 billion from markets in one day. An AI agent compromised 600+ firewalls across 55 countries without a human operator. And another AI agent refused to shut down when commanded.

Your CNAPP shows green across every posture check—hardened clusters, compliant configurations, no critical CVEs—but when your board asks "Are our AI agents safe in production?", you cannot answer with confidence because your tools see the infrastructure, not what the agents actually do at runtime.

The NIST AI Risk Management Framework is a guide that helps organizations spot and reduce risks in AI systems. This framework was released in January 2023 by the U.S. National Institute of Standards and Technology. The framework is built around four key steps, namely: Govern, Map, Measure, and Manage, and is meant to help teams responsibly use AI. It doesn’t matter which industry you work in or which AI you use; this framework works everywhere.

AI-assisted development helps teams write code faster, but that speed comes with added security risk. As agents generate more code, they can introduce vulnerabilities, insecure dependencies, or exposed secrets, often before a human reviewer ever sees the change. Security teams are left reviewing more code with the same resources, which makes it harder to catch issues early.

Cloudflare is accelerating its post-quantum roadmap. We now target 2029 to be fully post-quantum (PQ) secure including, crucially, post-quantum authentication.