CyFormer AI/ML Cybersecurity Toolkit – Technical Exchange Meetings

Date: 11/14/2023

Time: 1100 – 1200 Eastern Time

Vendor: DCI Solutions

Technology: CyFormer AI/ML Cybersecurity Toolkit

TEM Video Recording (milTube): https://www.milsuite.mil/video/watch/video/66118

Welcome to the Technical Exchange Meeting (TEM)!

CyFormer harnesses the power of Artificial Intelligence (AI) and Machine Learning (ML) for the purpose of transforming cybersecurity. CyFormer is powered by state-of-the-art AI models to defend against never-before-seen cyberattacks at both the network and host level. CyFormer covers all aspects of the cyber threat, both from inside and outside adversaries. The basis of our stance is not to rely on known threats of the past, but to model your network to find who can be trusted now and into the future.

CyFormer is a signatureless agent that receives customer network data and learns what “normal” network behavior is. Data is analyzed and then translated through CyFormer’s natural language processing engine resulting in actionable anomaly reports. The CyFormer model can identify events outside of the normal baseline, tag those events, and then send JSON alerts to analysts.

CyFormer applies seamlessly as part of any network architecture and is a flawless technology insertion into a Zero-Trust Architecture. CyFormer is indented to augment and enhance existing security investments by integrating with existing Security Information and Event Management (SIEM) systems. “It learns your network, it learns how your team works, and how to protect you.”

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Disclaimer:

— TEMs do not serve as a marketing venue or request for proposal actions.

— TEMs shall not be interpreted as a commitment by the Government to issue a solicitation or ultimately award a contract.

— TEMs do not serve as an endorsement of any presented technologies or capabilities

— Presentations will not be considered as proposals, nor will any awards be made as a result of a TEM session.

— TEMs are public open forums – no proprietary or sensitive information should be presented during TEM sessions. Only publicly-facing content is permissible in DISA TEM sessions.