OT Data Protection & Resilience is the practice of securing industrial control system data, such as PLC logic, HMI configurations, and historian archives, against loss or cyberattack, while ensuring fast recovery to maintain safety and production continuity. In modern industrial environments, the traditional concept of"security as a barrier" is no longer sufficient.

Cyberattacks often succeed not because they are sophisticated but because organizations lack reliable backups or struggle to restore data quickly. When recovery is slow, even minor disruptions can escalate, providing attackers with the time and leverage they need to deploy ransomware and halt operations. When systems go down, every minute of downtime results in operational disruption, a drop in revenue, and lost customer trust.

We release some good stuff this week with the CertKit agent version 1.8 from our roadmap, along with some small usability fixes in the CertKit web application.

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.

Global Open banking API call volumes are set to cross the 720 billion mark by 2029, and attackers know it. With the global open banking market surging past $38 billion in 2025 itself and projected to exceed $115 billion by 2030, the financial data flowing through these APIs is highly lucrative for threat actors. With over 7.5 million calls made to just AI APIs, they have now graduated from a technical challenge to a business imperative.

“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.