Official website of the Department of Homeland Security
This success story highlights the DHS SBIR company Applied Visions of Northport, New York, which developed Code Ray, a software assurance risk management technology that improves the speed, accuracy and confidence in detection of vulnerabilities and source code weaknesses.
DHS S&T collaborates with Intelligent Automation, Inc., to develop system that protects operating systems and apps on embedded platforms against cyberattacks.
Funding awarded to Kynamics of Mountain View, CA, to build a portable system for language translation capabilities to support United States Coast Guard missions.
Read the latest results and feedback on the usability of NERFHERDER for first responders.
The Common Weakness Enumeration (CWE) list of the 25 most dangerous software errors is a compilation of the most frequent and critical errors that can lead to serious vulnerabilities in software.
This how-to guide provides installation and configuration instructions of the PiPoint location software for a Raspberry Pi computer that was demonstrated as part of the Spiral 2 technology exercise.
S&T’s Immersive Imaging System was recognized at the recent annual R&D 100 Conference among the 100 most exceptional innovations in science and technology from 2018.
If you are a Fire & Rescue professional attending the Fire Department Instructors Conference in Indianapolis, mark your calendars to join S&T John Merrill and discuss how to “Make Firefighting Safer with Artificial Intelligence.” This discussion will be held in rooms 138-139 on , from to at the Indiana Convention Center & Lucas Oil stadium.
The goal of the Department of Homeland Security Science and Technology Directorate’s (S&T) Application Security Threat and Attack Modeling (ASTAM) Project is to produce new methods for analyzing the security of software applications that will make it faster and easier to adopt application security and identify more vulnerabilities.
The Static Analysis Tools Modernization Project (STAMP) seeks to modernize static code software analysis tools.
