Budget Area Topic Classification Tool

The Budget Area Topic Classification Tool uses a pre-trained Bidirectional Encoder Representations from Transformers (BERT) model ('bert-base-uncased') to classify proposals into…

CAA PA

Reducing staff time and better identification of potential violators

RMP Risk Modeling

To identify facilities with Risk Management Plans (RMP) under the Clean Air Act (CAA) that have an elevated risk of accidents

AI voice over

The AI system generates temporary synthetic voice-over using text-to-speech services (e.g., Eleven Labs, WellSaid Labs) to convert scripts into placeholder audio for video drafts.…

Regulation Statutory and Common Name Indexing

Compliance OCC staff frequently need to reference regulations by both their alphabetical identifiers (e.g., Regulation Z) and their full statutory names. Manually searching for th…

AskBEP AI ChatBot

The AskBEP chatbot addresses the challenge of quickly and consistently accessing policy information within the BEP community. Employees often need clear, accurate answers without…

Sub-Asset Maintenance Model

This model helps reduce downtime by forecasting when sub-asset machines will need maintenance, enabling proactive servicing and improved asset reliability.

Ink and Paper Consumption Forecast (IPCF)

The Ink and Paper Consumption Forecast (IPCF) AI model is intended to predict: 1. Ink mileage predictions based on ink type and associated denom; 2. Ink consumption predictions ba…

Inventory Replenishment Forecast

This model helps reduce supply chain disruptions by forecasting vendor performance and item stockouts. It enables proactive sourcing decisions, improves inventory planning, and st…

IDV Model

This model helps forecast long-term inventory turnover to improve IDV utilization and support proactive funding requests.

Anomaly Detection for Data Quality

Anomaly detection model designed to identify potentially erroneous data loads in TCR data. Uses an isolation forest model with aggregated data and automatically runs daily.

Stress Testing Scenarios with Deep Learning

Pilot project to explore neural-network based machine learning methods for creating stress testing scenarios and estimating PnL (profit and loss) on FO (Futures and Options) portf…

MPD Entity Risk Modeling

Entity-level risk modeling project. Use statistical and probabalistic models to predict firms experiencing changes in capital levels. Very early stage R&D effort.

The Advanced Trade Analytics Platform (ATAP)

ATAP aims to provide insights into trends and behaviors in trade activity to support a proactive risk management and enforcement posture in the agency’s mission execution.

Critical Infrastructure Network Anomaly Detection

CyberSentry currently ingests hundreds of terabytes of data from Critical Infrastructure Partners every single day. At petabyte-scale over all collected network data, CyberSentry…

Malware Reverse Engineering

This AI capability uses deep learning to assist CISA analysts with understanding the content of malware samples, automating tasks such as triage and indicator extraction.

Voice Analytics for Investigative Data

Investigative Prioritization Aggregator

This use case intends to solve the problem of overwhelming data volumes that make it difficult for HSI personnel to prioritize high-value targets in criminal investigations.

Text Analytics Data Science Sentence Similarity Model

The Text Analytics capability employs machine learning and data graphing techniques to identify patterns that may indicate potential fraud, national security, and/or public safety…

Automated Target Recognition (ATR) Developments for Standard Screening

AIT systems need to use Automated Target Recognition algorithms to detect objects while maintaining passenger privacy.

Accessible Property Screening (APS) Checkpoint CT Prohibited Items (PI) Detection

The AI solution is needed to look for and classify non-explosive prohibited items, because this AI solution alongside the legacy explosive algorithms provides a complete solution…

Walk-Through Metal Detector (WTMD) Alternative Automated Target Recognition (ATR) Developments

Improve detection over traditional WTMD to include non-metallic threats.

Synthetic data for improved Automated Threat Recognition (ATR) in checkpoint screening

Images are used to train Automated Threat Recognition (ATR) and other AI models and systems to detect prohibited items in the screening processes.

Low Probability of False Alarm (Low-Pfa) Algorithm for on-person screening.

Increase passenger throughput via improve detection performance and decreasing alarm rates and passengers touch rates by 50%