AVIRTEK Awarded $1 Million to Develop Tactical Cyber Immune System (TCIS)

TCIS Technology will be Transitioned to DOD and Commercial Markets
Tucson, Arizona—AVIRTEK, Inc., is pioneering the development of cybersecurity products that can self-protect entire networks and beyond (users, computers, networks, data and applications) from any type of cyberattack. AVIRTEK announced today its $1 Million dollar product development award, received from the U.S. Army.
November 2019
November 2019

$1.00 Million USA CERDEC STTR Phase II Award: Tactical Cyber Immune System. (November 2019- November 2021)

Our goal in Phase II STTR proposal is to leverage the tools and data analytics algorithms developed in Phase I to demonstrate the full functionality of the proposed Tactical Cyber Immune System (TCIS). We have developed a modular and adaptive cyber immunity system to overcome security deficiencies of current computing systems. We have developed algorithms and tools to characterize the self-behavior of “Computer”, “User”, and “Application” so that each behavior can be identified as either "Self" or "Non-Self".
September 2019
September 2019

AVIRTEK Awarded $1.5 Million to Develop Autonomic Security Operations Center (ASoC) (September 2019- September 2021) (AFRL and US Army)

AVIRTEK, Inc., is pioneering the development of cybersecurity products that can self-protect entire networks and beyond (users, computers, networks, data and applications) from any type of cyberattack. AVIRTEK announced today its largest product development award, received from the U.S. Air Force and Army. The award will allow AVIRTEK’s ASoC technology to secure and protect their datacenters.
June 2018
June 2018

$150,000 AVIRTEK ONR STTR Phase I Award (Jun. 2018 – Dec. 2018): Multi-Layer Mapping of Cyberspace

The goal of this project is to develop innovative data structures (that we refer to as customized cyber footprints) for each component and resource associated with each cyber layer (physical, logical, persona). These data structures will enable us to achieve superior analytics and protection capabilities such as:

  1. Efficient and accurate detection of anomalous behavior of any cyber space entity or application;
  2. Real-time root cause analysis to identify the components that triggered the detected anomalous behavior; and
  3. Take proactive responses to mitigate the impact and/or stop the anomalous behavior in order to promptly resume normal cyber operations.
September 18, 2017
September 18, 2017

$150,000 NAVY NAVAIR STTR Phase I Award (September 18 2017 – April 2018): Techniques to Adjust Computational Trends Involving Changing Data (TACTIC-D)

Currently, there is no adaptive big data analytics framework that process data streams in real-time and adapt to changes in cyber physical environments, as well as in the heterogeneous data being received. The goal of this project is to develop an Adaptive Big Data Analytics Environment (ABDAE) that can adjust computations to respond promptly to rapid changes in data and cyber physical environments.
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150,000 USA CERDEC SBIR Phase I Award): Tactical Cyber Immune System (TCIS)

The objectives of this Phase I STTR (in collaboration with the University of Arizona) are to:

  1. develop a proof-of-concept prototype system that implements active change detection and passive learning models for non-stationary environments (e.g., large volume data stream that change over time);
  2. a framework for hybrid/passive learning methods for learning in high-volume data streams;
  3. provide a recommendation system for cybersecurity applications that face non-stationary streaming environments;
  4. provide a benchmark using synthetic and real-world data sets along with statistics that measure the overall efficacy of the proposed approaches.
July 10, 2016
July 10, 2016

$750,000 Phase II Award from Air Force Research laboratory (AFRL)

On July 10, 2016 AVIRTEK was selected for an SBIR Phase II award with the U.S. Air Force Research laboratory ($750,000 over 24 months) for its Phase II proposal entitled “Autonomic Monitoring, Analysis, and Protection (AMAP) System”.
In Phase I, we developed a methodology for identifying malicious files that could be in a directory of files, or files downloaded from the internet, perform anomaly behavior analysis to detect the maliciousness of these files, and determine a File Trust Index (FTI) for each file. The AMAP technology to be developed during Phase II is a paradigm shift based on an autonomic computing principle inspired by human nervous systems. “
May 18, 2016
May 18, 2016

$150,000 Phase I Award from Department of The Army, Research, Development and Engineering Command

On May 18, 2016 AVIRTEK was selected for an STTR Phase I award with the Department of The Army, US Army Research, Development and Engineering Command ($150,000 over 9 months) for its Army STTR Phase I proposal entitled “Tactical Immune System”. The objective for this Phase I STTR project is to develop a modular and adaptive cyber immunity mechanism that overcomes security deficiencies of current computing systems to enforce semantics of computation and patch-based/perimeter protection mechanisms, which we refer to as Tactical Cyber Immune System (TCIS).
May 5, 2016
May 5, 2016

$150,000 Phase I Award from Department of The Army, Research, Development and Engineering Command

On May 5, 2016 AVIRTEK was selected for an SBIR Phase I award with the Department of The Army, Research, Development and Engineering Command ($150,000 over 9 months) for its OSD SBIR Phase I proposal entitled “Resilient Middleware Services for Cyber Physical Systems”.
In Phase I of this project, the objective is to leverage AVIRTEK’s AIM technologies and our knowledge in Security, Moving Target Defense (MTD), Resilient computing systems, Cloud Computing, and Autonomic Computing to architect, design, and demonstrate important capabilities of the proposed Resilient Middleware Services (RMS) for Cyber-Physical Systems and their applications.
July 27, 2015
July 27, 2015

$149,841 Phase I Award from Air Force Research laboratory (AFRL)

On July 27, 2015 AVIRTEK was awarded a contract with the U.S. Air Force Research laboratory ($149,841.00 over 9 months) for its Phase I proposal entitled “Autonomic Monitoring, Analysis, and Protection (AMAP) System”. The objective of the project is to leverage AVIRTEK’s AIM technologies being developed in our current projects and our knowledge in Security, Resilient computing systems, Cloud Computing, and Autonomic Computing to architect, design, and demonstrate important capabilities of the proposed Autonomic Monitoring, Analysis, and Protection (AMAP) system.
January 27, 2014
January 27, 2014

$213,000 Award from SMS/US ARMY NETCOM

On January 27, 2014 AVIRTEK was awarded a contract with the U.S. Army Network Enterprise Technology Command (NETCOM) ($213k over 6 months) for its Phase I Proposal entitled "Insider Threat detection and Resilient Cloud Services". In this award, AVIRTEK will work on extending its Automated and Integrated Management (AIM) technology and Anomaly Behavior Analysis (ABA) methodology to detect and protect against insider threats and develop resilient cloud services that resilient to any type of attacks (known or unknown) that can be launched by insiders or outsiders and continue to operate normally in spite of these malicious events.
July 17, 2013
July 17, 2013

$149,814 SBIR 13.1 Phase I Award from Air Force Research Laboratory (AFRL)

On July 17, 2013 AVIRTEK was awarded a contract with the Air Force Research Laboratory ($149,814 over 9 months) for its Phase I Proposal entitled "Robust End-to-End Trust (RE2ET)". The objective of RE2ET is to identify and quantify trust metrics for all of the resources in a complex network infrastructure, determine a method for securing communications, and demonstrate the feasibility of the approach to quantify and adopt the end-to-end trust of components in large network infrastructures. RE2ET will verify the trust in critical components, adopt their trust values due to changes in network configurations, polices or being compromised, and protect their operations in spite of compromises.
January 4, 2011
January 4, 2011

$749,786 SBIR 09.2 Phase II Award from Air Force Research Laboratory (AFRL)

On January 4, 2011 AVIRTEK was awarded a contract with the Air Force Research Laboratory ($749,786 over 24 months) for its Phase II Proposal entitled "Autonomic Software Protection System (ASPS)". In phase II of this SBIR, AVIRTEK will develop an Autonomic Software Protection System (ASPS), to enable pro-active learning and representation of system state's knowledge in order to defend against attacks or failures. The ASPS will be able to determine any hostile behavior, characterize it, and then perform protection and countermeasure actions. Furthermore, through the use of autonomous agents, ASPS can destroy the ability of the attacker in launching attacks against the protected system.
December 1, 2010
December 1, 2010

$749,998 STTR 08.B Phase II Award from Air Force Research Laboratory (AFRL)

On December 1, 2010 AVIRTEK was awarded a contract with the Air Force ($749,998 over 24 months) for its Phase II Proposal entitled "Cyber-Battle Management System (CBMS)". In this Phase II STTR, AVIRTEK will develop and demonstrate a Cyber-Battle Management System (CBMS) that is based on autonomic computing. The proposed CBMS will utilize AVIRTEK autonomic agents, along with statistical and data mining techniques, anomaly behavior analysis, and intelligent decision fusion to autonomically manage configuration and security of battle space resources and services. The CBMS features that will be supported by the prototype to be developed and demonstrated at the end of Phase II are: Threat Management, Automated/Semi-automated/Manual Management Actions and Dashboard and Visualization.
November 6, 2009
November 6, 2009

$99,684 SBIR 09.2 Phase I Award from Air Force Research Laboratory (AFRL)

On November 6, 2009 AVIRTEK was awarded a contract with the Air Force Research Laboratory ($99,684 over 6 months) for its proposed project entitled "Autonomic Software Protection System (ASPS)". The Autonomic Software Protection System (ASPS) will be able to determine any hostile behavior, characterize it, and then perform protection and countermeasure actions. Furthermore, through the use of autonomous agents, ASPS can destroy the ability of the attacker in launching attacks against the protected system.