You’ve been securing Kubernetes workloads for years. Your CSPM is running, your CNAPP is configured, your team knows how to triage container alerts. Then an AI agent lands in your cluster — maybe from the data science team, maybe from a vendor integration, maybe from a tool you didn’t even know was running. Within a week, it’s making API calls nobody planned, accessing data stores that aren’t in the architecture diagram, and executing code it generated itself.

By Randy Blasik, Founder, ComplianceAide The good news for managed service providers (MSPs) supporting defense contractors is that demand for Cybersecurity Maturity Model Certification (CMMC) and NIST 800-171 readiness services is surging. The downside, unfortunately, is that many MSPs have discovered that delivering compliance engagements at scale can be difficult and complex.

Credential abuse, exploitation of vulnerabilities, or phishing were the initial access vectors in 61% of breaches in 2025, according to Verizon’s 2025 Data Breach Investigation Report. While new threats present fresh challenges to security teams, reports like this highlight that cybercriminals still favor well-established attack methods and exploit familiar weaknesses.

Hybrid cloud environments rarely start as a carefully planned architecture. Most organizations reach that point gradually. A few workloads move to the cloud first. Then development teams adopt additional cloud services. Meanwhile, critical systems continue running on-premise because they cannot easily migrate. Over time, the result is an enterprise hybrid cloud environment that spans multiple infrastructure layers. From a business perspective, this flexibility is useful.

Tokenization and encryption both protect sensitive data, but they work differently and reduce different risks. Tokenization removes sensitive values from operational systems and can shrink compliance scope; encryption keeps data present but unreadable without keys. Choosing the right approach depends on data type, access patterns, and regulatory requirements like PCI DSS and HIPAA. Encryption and tokenization both protect sensitive data, support compliance, and appear in every major security framework.