Adversaries use synthetically generated human speech to spoof identities in audio and video, and then use this disinformation to impersonate, compromise and deceive. Deepfake technology is increasingly widespread, sophisticated and difficult to detect, thereby requiring a powerful tool to detect deepfakes.
Real-time Enhance Voice Authentication (REVA) employs advanced machine learning algorithms to analyze audio, and then REVA pushes alerts when tampered speech is detected. REVA provides real-time notification of deepfakes, enabling any user to recognize, react and respond instantly.
After REVA detects a deepfake, REVAnalyst assists in determining the target of the attack and the adversary’s information operations strategy. REVAnalyst deploys machine learning to produce speaker diarization, speaker and language identification, and semantic and topic tagging to assist the intelligence analyst in clustering deepfakes to determine the target and adversary’s strategy.
TIDES: Navigating modern training needs with data-driven precision
TIDES is built on a competency management system that has been utilized and deployed for the US Department of Defense, Fortune 500 corporations, and supports open competency data standards.
With a proven ability to scale and ingest all types of human performance data, TIDES can provide a powerful analysis and design capability to any learning ecosystem. TIDES can reduce the burden of sustaining training content through a direct connection to technical documentation while providing an evidenced based means to report on training decisions in regards to regulatory compliance.
TIDES: Features
TIDES includes a user interface for Instructional System Designers (ISDs), a repository to house competency maps, an individual learning record to assert proficiencies, and a feedback loop on the basis of the individual learning record to update the instructional system design.
Competency Analysis
TIDES enables the evaluation of training effectiveness by collecting instrumented data from various sources, including simulators, computer-based training (CBT), instructor assessments, learning record stores, learning management systems, and others. This data allows Eduworks to collaborate with the customer to create customized algorithms and dashboards. These tools are utilized to identify effectiveness and competencies of training, pinpoint gaps in training, assess trainee retention rates, and more.
Chain of Evidence & Traceability
Tides tracks regulatory compliance throughout the training needs analysis process, producing persistent and managed end-to end chains of evidence for reporting and tracking.
Productivity
From customer testimonials, TIDES significantly reduces the time to complete a Training Needs Analysis, which allows organizations to do more with the same amount of resources.
Artificial Intelligence
TIDES’s AI ingests data sources and produces reusable competency frameworks that comply with standards and best practices and that are traceable back to the sources that were used to generate them.