Crytica RDAi: Advanced OT Device Tampering Detection from Within

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Crytica Security has introduced a proprietary system designed to identify unauthorized modifications to operational technology (OT) devices, enhancing protection for embedded systems and connected equipment critical to infrastructure, national security, and healthcare sectors.

IBM Report

According to IBM’s Cost of a Data Breach Report 2026, AI-powered attacks rose by 56% compared to the previous year, with half of organizations utilizing security operations centers (SOCs) already integrating AI agents into their production environments.

This shift underscores the importance of confidence in security signals as both adversaries and defenders leverage automated processes.

Current cybersecurity tools provide visibility into network activity, asset management, vulnerabilities, and behavioral patterns, but they lack the ability to verify the integrity of a device’s internal state.

RDAi System

Crytica’s Rapid Detection, Alert, and isolation (RDAi) system operates internally within each protected device, monitoring for unauthorized alterations to instruction sets and generating definitive evidence of such changes.

Probe Agent

The system employs a lightweight agent, referred to as a Probe, which occupies less than 100 Kb of memory and operates without disrupting normal device functions. This agent performs instruction set integrity monitoring (iNSiM), ensuring that static data such as configuration files remain unaltered.

Sectors Affected

The technology is particularly vital for sectors where compromised devices could jeopardize physical operations, essential services, or human safety.

Partnerships

Crytica is deploying its solution across commercial, utility, and government environments, supported by partnerships with security providers, original equipment manufacturers (OEMs), and systems integrators.

Executive Quotes

Dr. C. Kerry Nemovicher, CEO of Crytica Security, emphasized the necessity of internal device monitoring. “While cybersecurity tools excel at observing external activity, effective detection requires examining the device itself,” he stated.

C. Lloyd Mahaffey, Executive Chairman of Crytica Security, highlighted the growing ecosystem around deterministic detection. “Organizations seek technologies that accelerate threat identification without replacing existing infrastructure,” he said. “Our collaborations with security platforms and critical infrastructure stakeholders reflect this demand.”

Future Integrations

Traditional OT and IoT security solutions rely on external observation to infer threats, whereas RDAi detects anomalies internally, generating high-fidelity alerts that security teams can act upon with confidence.

Future integrations and industry partnerships will expand the reach of device-level detection within existing cybersecurity architectures. The system’s approach addresses gaps in current threat detection methods, ensuring that changes to a device’s core functionality are immediately identified.

Conclusion

This aligns with the increasing reliance on AI in both offensive and defensive cybersecurity strategies, as highlighted by the IBM report. Organizations are now prioritizing solutions that offer actionable, trustworthy insights to mitigate risks in real time.

Additional collaborations and technology integrations are expected to be announced, further embedding deterministic detection into enterprise security ecosystems. The focus remains on enhancing resilience against evolving threats while maintaining operational continuity in critical environments.