Period of Performance: 16 AUG 2016 – 15 AUG 2036
Contract Number: GS-35F-460DA
The GSA MAS contract vehicle consolidates 24 previous GSA Schedule contracts and over 900 Special Item Numbers (SIN) into a single contract vehicle with better defined service areas. GSA MAS provides customers an intuitive platform to find Contractors with the products and services they need for mission-critical operations. Click here to view IntelliGenesis’ current Pricelist for SINs:
We also offer a range of cybersecurity training programs for classes of any size:
GSA MAS Past Performance
Directorate of Intelligence (J2) Intelligence Operation Support
Period of Performance: 30 SEPT 2018-29 SEPT 2022 (original contract) / 30 SEPT 2022-29 SEPT 2027 (recompete)
Contract Number: #HC102818F1665 (original contract) / #HC102822F1177 (recompete)
Period of Performance: 6 MAY 2023 – 5 MAY 2028
Contract Number: W519TC-23-G-0024
The AI Talent 2.0 contract vehicle is focused on strengthening and integrating data, artificial intelligence, and digital solutions across the DoD by building a strong foundation for data, analytic, and AI-enabled capabilities to be developed and fielded at scale. Part of this foundation is ensuring the DoD has the necessary people, platforms, and processes needed to continuously provide business leaders and warfighters with agile solutions. The BOA is decentralized and open to all DoD agencies and may be awarded from by utilizing a local contracting office or by contacting Army Contracting Command – _Rock Island (ACC-RI) for acquisition support if no contracting office exists. Contracting Offices shall utilize the AI Talent 2.0 Ordering Guide for the preparation, solicitation, evaluation, and award of task orders.
Period of Performance: 15 SEP 2023 – 14 SEP 2028
Contract Number: FA714623R0008
In response to persistent and increasingly sophisticated malicious cyberspace campaigns that aim to compromise critical defense information residing on Defense Industrial Base (DIB) networks, the DC3 contract vehicle was established to defend the DIB from cyber adversaries that aim to compromise defense information and threaten national security interests. Under DC3, IntelliGenesis develops comprehensive solutions for cyber defense composed of physical and virtualized network sensors that utilize a combination of machine learning/artificial intelligence, advanced analytics as well as rule-based, signature-based, heuristics-based, and behavioral-based detection to detect suspicious activities on DIB networks. Our solutions are scalable and tailored to meet the needs of each participating DIB partner, whether a small company with limited IT resources or a mid-size company with a mature framework for cyber defense.
Ordering available through DC3’s DoD-Defense Industrial Base (DIB) Collaborative Information Sharing Environment (DCISE) website (https://www.dc3.mil/).
Advanced Persistent Threats (APTs) use a variety of methods to disrupt and destroy cyber operations of their targets but, by performing a deeper examination of these methods, we can discern new information and connections between APTs to better protect against attacks. RIALTO is a tool designed to predict the cyber behavior of APTs by looking at the Tactics, Techniques, and Procedures (TTPs) used by similar APTs. By modeling their historical TTP use and applying advanced machine learning techniques, we can predict what kinds of attacks an APT may launch in the future.
In this project, we utilize TTPs documented in MITRE’s ATT&CK Framework to develop threat models which illuminate the hidden relationships and commonalities between separate APTs and allow us to predict possible future activity. By applying clustering techniques, we determine peer groups of similar APTs based on their unique combinations of TTP usage. These TTPs range broadly from highly technical methods such as DLL hijacking, to social engineering techniques like Spearphishing. In the future, we will soon expand this to include specific software usage and known targets. Using these peer groups and collaborative filtering techniques, we can develop “recommended” TTPs for an APT: TTPs that groups similar to them have used and that we can expect the new APT to use in the future.
Predicting future TTPs can enable targeted organizations to better prepare their networks and users for attacks. Software updates can be prioritized based on likely attack vectors and users can be alerted to specific potential methods attackers may use to gather their information.
These predictions are also incorporated in our “Attacker Search” capability in which the user can enter known information about a cyber threat (such as TTPs used, target, purpose, etc.) and receive a list of possible APTs that match that criteria. RIALTO incorporates trusted APT data and pulls the latest threat information from the MITRE ATT&CK database (attack.mitre.org) and MISP Threat Intelligence (misp-project.org). This feature enables users to quickly attribute attacks based on the historical footprint of APTs.
IntelliGenesis developed a multiplayer game to accelerate learning and mastery of strategic and tactical urban combat skills for active-duty warfighters, internally called Tactical Analytical Cognitive Training for Interactive Combat Simulation (TACTICS)(SBIR Phase I). TACTICS is a first-person shooter (FPS), developed using the Unity game engine, which places the player in realistic combat situations which test their situational awareness, communication skills, and tactical decision-making. TACTICS provides the ability to train anywhere, even from home. By not requiring advanced hardware or software, TACTICS makes urban combat training readily available. This enables much more training repetition, resulting in increased proficiency in the trained skills over a shorter time period.
IntelliGenesis LLC developed WATCHTOWER (STTR Phase 1), a tool using AI to make suicide risk predictions based on personnel records instead of medical records. These records are readily available for all service members and regularly updated, whereas individuals’ medical records may only exist for issues brought up by the subjects, themselves. Generating accurate predictions based on personnel records would have a dramatic impact on the ability to help potential victims before it is too late. The ability to utilize new data sources in addition to medical records will also drastically expand the breadth of potential indicators that can be detected and addressed.
CYBERSPAN is accessible to both government and commercial customers through our IG Labs Products page, or to government-only customers on the Tradewinds Solutions Marketplace which demonstrates multiple use cases in which we provide Defense Industrial Base (DIB) Small Businesses with a capability to constantly analyze their network’s behavior to identify potential threats and anomalies. IntelliGenesis was recognized among a competitive field of applicants whose solutions demonstrated innovation, scalability, and potential impact on DoD missions.
One of CYBERSPAN’s primary objectives is to provide fundamental cyber protection for small to medium sized Defense Industrial Base (DIB) companies in the DoD supply chain that do not have the resources and expertise to secure their own networks. It protects against malicious and anomalous activities that could compromise DoD data and intellectual property. CYBERSPAN is a plug and play solution at the network boundary that can be installed and run without the maintenance burden.
IntelliGenesis is proud to team with industry leaders whose innovative ideas and connections help us deliver advanced services and products to improve customer missions. For support with your next project, contact us anytime!