Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cloud migrations have a reputation for running over budget and behind schedule. That reputation isn’t entirely undeserved — migrations done without structure often do. But AWS has invested heavily in programs that give businesses a faster, cheaper path to the cloud, and most organizations don’t know they exist or how to access them. The AWS Accelerator Program is one of the more practical frameworks available for SMBs and mid-market companies planning a move to AWS.

Agentic AI workloads are shipping to production on Kubernetes faster than the standards to secure them. Many teams deploying autonomous, tool-calling agents as containerized microservices do so without a shared baseline for securing or monitoring those containers. The CNCF AI Technical Community Group recently published a comprehensive article on cloud-native agentic standards, marking the first attempt to define best practices for such deployments.

“AI-powered DAST” is everywhere. It signals progress, but assumes something fundamental was missing. It wasn’t. DAST struggled not from lack of intelligence, but from lack of depth. Most tools never reached inside authenticated, stateful, multi-step journeys where real logic, sensitive data, and critical vulnerabilities exist. That’s the part Appknox solved years ago. AI here is not a reset. It is an accelerator, applied to a system already operating where risk actually lives.

If the public sector had unlimited cybersecurity budgets and fully staffed SOCs, today’s threat landscape would look very different. But that’s not reality. Public sector organizations face chronic staffing shortages, constrained budgets and compensation structures that make it difficult to recruit and retain cybersecurity talent. Meanwhile, adversaries are accelerating their attacks. The result? Small teams carrying massive responsibility.

Public sector organizations are operating in a threat environment that is both relentless and increasingly personal. Federal agencies, state and local governments and educational institutions are prime targets for ransomware, phishing, business email compromise (BEC) and credential theft. Local governments alone account for an estimated 43% of ransomware victims in 2025. But the real shift isn’t just in volume. It’s in tactics. Attackers have stopped trying to break in.

Although Jira serves as the system of record for many DevOps and IT teams, retrieving secrets or approving requests for privileged information often occurs on other platforms. Teams may depend on external tools, email messages or Slack chats to manage credentials or elevation requests, leading to context switching, audit gaps and delays that increase operational risk.

What resonated most at RWC 2026? GitGuardian highlights key research on private key leaks, password managers, trusted execution environments, and secret sprawl.

AI agents now participate directly in daily work. They write code, summarize data, generate documents, and automate tasks at a speed and scale no human can match. As your organization adopts more assistants and autonomous workflows, you introduce a new type of insider: an agent operating inside your systems with real identities, credentials, and privileges. Human and machine activity now blend inside enterprise environments. The shift expands insider risk in ways many teams can’t yet see.