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Automate to Rapidly Prioritize and Quantify Cyber Risk

Key Customers Endorse Cybersecurity Assessment Software from KDM Analytics

Washington, D.C. After several years providing consulting services to customers, KDM Analytics has used that experience to develop software products for use in cybersecurity assessment. The software has already found traction with key customers in North America.

KDM Analytics CEO, Djenana Campara said that clients had been asking about specific software products designed for cybersecurity assessment based on approaches used by KDM in their consulting assignments.

“Organizations want cybersecurity assessment solutions that are automatic, repeatable and fit into the new Risk Management Framework (RMF, the mandatory standard for federal agencies). They want software that will focus their efforts and budgets exactly where they’re needed most and that’s what we have delivered,” she said.

In a presentation at IEEE Metrocon, Oct 26, 2016 in Arlington TX, Lockheed Martin Aeronautics researcher Dr. Ben Calloni demonstrated Blade TOIF and noted “Blade TOIF server and client are the most optimized solution for performing Static Code Analysis to assist during software development.”

Furthermore, Dr. Calloni noted “TOIF framework can reduce licensing fees (Aero Company)” and “can add / tune additional SCA tools or rule sets to TOIF to cover CWE’s relevant to Avionics, ground systems, etc. – Provide Confidentiality of Aero Interest to Specific Vulnerabilities!”

About KDM Analytics

KDM Analytics was founded in 2006 with focus on cyber risk assessment. Its solution consisting of Blade RiskManager and Blade TOIF helps to answer the most important question of cyber risk management: where should you focus your budget and resources?

Founded and led by recognized cyber defense leaders, KDM Analytics is trusted by public and private organizations, to supply them with solutions for mission-critical systems.

Learn more at www.kdmanalytics.com

For information:

Djenana Campara djenana@kdmanalytics.com
Shaun Markey shaun@kdmanalytics.com