Bringing order to Cyber Operations

A cyber threat intelligence platform built with the cyber planner in mind.
  • Wrote all parsers for transforming emails and various log formats into appropriate STIX2 objects
  • Built customizable log ingestion system with basic runtime threat analysis to score and store relevant meta data as Stix2 objects while preserving context and source maps.
  • Used Stix2 ANTLR4 grammar for pattern matching log data with existing Indicators of Compromise (IoC)
  • Used ZAP Security Scanner to pen test company domains with attack IDs in request headers. Then wrote generic IoC Patterns based on signatures seen in logs during pen test.
  • Wrote Opinions API to allow analysts to score IoCs by 'vulnerability' and 'severity' scales separately.
  • Built atop OpenCTI interface to follow streamlined workflow to control ingestion, triage alerts and fine tune ML engine analysis

Started: 2021-03-01

Launched/Lasted: 2023-12-31

Technologies: ReactJS, GraphQL, ElasticSearch, Redis, RabbitMQ, Minio, Docker, Google Cloud Platform, Python, NodeJS, Antlr4

Industries: Cyber Security

Team: E.A.Taylor: Front-End, Back-End. Ray Allen: Product Development. Joseph Anderson: Business Development.

Companies/Brands: Cypher LLC

Flexible Vision
A SASS platform for TensorFlow annotations and iterative training

Automate quality assurance with image detection
  • Created several custom Node-Red modules for configuring onprem cameras and communicating with Cloud API.
  • Added API endpoints to Flask API for manipulating images using any OpenCV method
  • Wrote ExpressJS server as proxy service to up / download photos through Minio (AWS S3) and other storage services
  • Created Drop-n-Drop photo library manager for organizing training data from remote and local photos
  • Customized Tree component for infinite nesting of tag hierarchies within a photo.
  • Built client side analysis methods for easier review of tags across all photos, showing totals and average region sizes
  • Customized drawing component for creating, dragging, and resizing tags with 0 - 400% magnification
  • Structured dataset to provide tag categories, notes, and names, aside from types
  • Wrote client-side demo builder to double as a unit testing for reloading randomized training tags customizing parameters

Started: 2018-05-01

Launched/Lasted: 2023-12-31

Technologies: Node.js, Express.js, ReactJS, AWS S3, Docker, Minio, TensorFlow, Kubernetes, Google Cloud Platform, Node-Red, Python, Flask, OpenCV

Industries: Technology, Analytics, Robotics, Manufacturing

Team: E.A.Taylor: Front-End & API. Sam Silverberg: Back-End. Alec Goeckel: Back-End. Aaron Silverberg: Product Development.

Companies/Brands: Flexible Assembly Systems, Refined Motion Engineering

Other technologies