NetLib Warns Data Protection Lags Cybersecurity Efforts

STAMFORD, Conn., Sept. 30, 2026 /CourierPR/ -- NetLib Security, a leader in transparent data encryption, has announced a new version of its Encryptionizer product, featuring AI-driven enhancements and significant upgrades to its Encryptionizer Key Manager (EKM) for data security. The company’s announcement comes as the cybersecurity industry continues to invest heavily in tools designed to prevent, detect, and respond to cyberattacks, but NetLib Security is warning that one of the most critical gaps in enterprise security remains largely unchanged: protecting the data itself.

The cybersecurity industry has increasingly embraced an "assume breach" mentality, recognizing that even the most sophisticated defenses cannot guarantee attackers will never penetrate an organization’s environment. However, this philosophy often stops short of its logical conclusion. Organizations, understandably, want to know how quickly they can detect an intrusion. But they also need to ask what happens to the data if an attacker does get through.

NetLib Security’s Chief Technology Officer, David Stonehill, emphasized the importance of this distinction.

The issue becomes even more critical as artificial intelligence (AI) increases both the scale and sophistication of cyber threats. Attackers can automate reconnaissance, accelerate attacks, and process stolen information more efficiently than ever before. This makes minimizing the value of stolen data an increasingly important component of cyber resilience.

Defend the data." While endpoint security, network monitoring, identity management, and threat detection remain critical components of any cybersecurity strategy, they do not inherently protect usable data once an attacker gains sufficient access. Encryption can.

However, confusion persists around what it means to adequately protect data at rest. Organizations may assume that cloud-provider encryption, disk encryption, or other infrastructure-level controls mean sensitive database information is fully protected. Those safeguards can serve important purposes, but they do not necessarily provide the same protection as encrypting sensitive data itself and maintaining control over the encryption keys.

NetLib Security points to several areas contributing to the data protection gap. These include overreliance on perimeter and detection technologies, confusion around data at rest encryption, fragmented encryption and key management, legacy data environments, and assumptions about cloud security. Organizations continue to devote significant resources to identifying and stopping attacks without giving equal consideration to limiting the value of information that may ultimately be stolen.

As organizations manage sensitive information across complex environments that include cloud infrastructure, on-premises systems, legacy databases and applications, they need to ensure that sensitive data is protected at the data level across all environments. By protecting sensitive information at the data level, organizations can reduce the consequences of a successful intrusion.

This is not a dismissal of detection-first strategies. It recognizes that in the AI era, detection alone is not enough. Breaches may be unavoidable, but catastrophic data exposure is not.

Encryption is not optional. It never was. NetLib Security, which has spent more than 20 years developing a powerful, patented solution that sets up a formidable offense for every environment where your data resides, is now advocating a data-centric approach. Strong encryption and centralized key management should operate alongside, not instead of, traditional cybersecurity defenses.

As organizations begin evaluating cybersecurity priorities and budgets for 2027, NetLib Security encourages security leaders to add a simple question to that process: If our other defenses fail tomorrow, what data will an attacker still be able to read? This is not a dismissal of detection-first strategies. It recognizes that in the AI era, detection alone is not enough. Breaches may be unavoidable, but catastrophic data exposure is not.