Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Controlled unclassified information (CUI) protection requires consistent identification, marking, safeguarding, and access governance across every system that touches federal data. With CMMC Phase 1 underway and the FAR CUI rule in effect, compliance is now a contract prerequisite. Controlled unclassified information (CUI) is sensitive but unclassified information that requires safeguarding or dissemination controls under federal law, regulation, or government-wide policy.

Most organizations believe they have a handle on where their sensitive data lives. A closer look usually reveals a different picture. Classified files on unmanaged endpoints, customer records replicated into SaaS tools no one approved, and AI-generated content containing proprietary context that was never meant to leave a controlled environment. The gap between perceived and actual data security posture is exactly where breaches happen.

Proofpoint DLP and Trellix DLP are two notable data loss prevention solutions. In this blog, we’ll analyze both platforms in depth and see how they compare. We’ll also introduce Teramind as a compelling alternative that combines the best aspects of Proofpoint and Trellix, while offering additional tools that could increase your workforce’s safety and productivity.

Cyber risk in 2026 isn’t defined by a lack of security tools; it’s defined by how quickly weaknesses compound when organizations aren’t aligned. To understand how organizations are responding, we researched the priorities, concerns, and blind spots of three critical leadership roles: the CISO, CIO, and CTO.

RAG systems connect AI models to your internal data, making them powerful but also creating serious security gaps in access control, data retrieval, and compliance. Knowing how to ensure data security in RAG systems means securing every layer of the pipeline from ingestion to retrieval to output.

DSPM solutions continuously discover and classify sensitive data, map who can access it, and surface misconfigurations across cloud and hybrid environments. Without them, security teams cannot reliably find shadow data, assess real exposure, or demonstrate that sensitive information is protected. Choosing the right platform means matching data coverage, risk prioritization, and remediation workflows to your actual estate.

Most organizations can answer "who can log in" but not "who can access a specific sensitive file, and should they?" Data access governance (DAG) closes that gap. It governs who can reach sensitive data, whether that access is appropriate, and how teams review that access over time, connecting visibility, control, and automation so organizations can govern access continuously rather than scramble before each audit.

The LA Times recently reported on a suspected breach involving a public sector legal office and a third-party tool used to transfer discovery materials. According to the report, the exposed data included a large volume of highly sensitive records, including witness information, medical data, unredacted legal documents, personnel records, and investigative materials. Without getting ahead of the facts, there is a pretty straightforward lesson here. Sensitive data rarely stays in one place.