Venue Specific Virtual Decision Support System
Systems that leverage machine learning and artificial intelligence to process data and deliver timely and useful identification of potential threats to security decision-makers.
We strive to ensure the existence of safe, secure public spaces by creating functional and adaptable solutions to detect and mitigate targeted violence. The cornerstone of this vision is the Virtual Sentry Framework. The SENTRY mission is three-fold: to conduct stakeholder-informed research to better secure soft targets and crowded places, implement the Virtual Sentry Framework strategy, and educate the current and future homeland security workforce in this space.
Established in 2021 and led by Northeastern University, SENTRY (Soft Target Engineering to Neutralize the Threat Reality) is a multi-institution Department of Homeland Security Science and Technology Center of Excellence. SENTRY combines the strengths of three emeritus Centers of Excellence: ALERT, led by Northeastern, brings a strong track record of threat anomaly detection using advanced sensor technologies and signature analysis algorithms; CCICADA, led by Rutgers, has pioneered the development of data-informed command, control, and interoperability systems; and CREATE, led by the University of Southern California, has developed optimal methods of assessing risks due to unanticipated attacks on soft target venues.
Emeritus COEs' Combined Knowledge
University Partners
Industry Members
Security Practitioners
The Virtual Sentry Framework is composed of decision support resources and tools for anticipating and mitigating threats to soft targets and crowded places. It utilizes cutting-edge research results and the best sensor information to enable real time threat situational awareness and mitigation strategies as well as effective planning, training, risk assessment and “what if” simulations of potential threat scenarios. The Virtual Sentry Framework decision support resources and tools will provide stakeholders at multiple soft target venues with practical security strategies leading to more effective venue threat assessment, preparedness, mitigation, and response.
Systems that leverage machine learning and artificial intelligence to process data and deliver timely and useful identification of potential threats to security decision-makers.
Built with channels to alert people, security, and law enforcement to reduce the time for first responders to arrive and to coordinate a controlled, effective response.
The capability to integrate diverse security data, including screening systems, novel sensors, and location-based data, allows security teams to leverage information in a more powerful way.
Creating design methods that enhance passive security features and enable augmentation with active surveillance and mitigation capabilities to protect and sustain a thriving public realm.
Accessible codebases and standardized data formats facilitate integration with third-party algorithms and allow for venue-specific customization.
Building a flexible system to assure it will be agile in facing changing threats, attacks, and variations in venues.