Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

What can bring together development and operation teams better than DevOps, a prevalent agile methodology? It involves new management principles, cultural change, and technology tools that boost the team’s development, collaboration, and productivity while they cooperate on software development.