Founded in 2000, Enova specializes in developing real-time cryptographic chips ASIC and data security solutions to address the increasing requirement over securing data-in-transit (cloud or peer to peer) and data-at-rest (storage).
Data is the most valuable asset of any the organizations. With more than 20+ years of experience in data security, Enova offers FIPS 140-2 level 3 certified single chip crypto module (chip) and system level security solutions. Enova is equipped with superb information system security and cryptographic chip engineering expertise with 12+ worldwide invention patents.
We are well experienced in international security validation including FIPS 140-2(3), Commercial Solution for Classified (CSfC) and Common Criteria. Our chip-based product and solutions are attested by major Aerospace, Defense, Military, Government, Enterprise, Industrial and Gaming clients. For prosumer clients, we offer Enigma 3.1 CloudKey hardware ciphering dongle which can encrypt data-at-rest and data-in-transit on any host computer detectable storage drives, including NAS & cloud drives.
Enova secures your data and safeguards your privacy.
1. Introduction to CMMC 2.0 and Latest Trends
The role of CMMC in national defense and enterprise supply chains
Key requirements and levels of CMMC 2.0 (L1-L3)
2. Security risks and compliance challenges for Edge AI
The shift of AI computing from cloud to edge
Common cybersecurity threats to Edge AI devices (unauthorized access, data breaches, hardware implants)
CMMC regulates data protection in Edge AI environments
3. Building a CMMC compliant security architecture with Root of Trust (RoT)
Ensuring system integrity through FIPS 140-2 certified hardware encryption
Implementing identity authentication and device protection with MX+ solutions to meet CMMC requirements
4. End-to-End data protection and CMMC Compliance
Data at Rest (DAR): FIPS 140-2 L2/L3 encrypted storage to secure sensitive data
Data in Transit (DIT): Secure communication and end-to-end encryption via APIs to prevent middle attack
Data in Use (DIU) security mechanisms: Protecting AI models and inference results from unauthorized access
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