RTX to optimize cyber vulnerability detection for DARPA
RTX BBN Technologies to advance high-fidelity exploit chain testing and evaluation
Exploit chains pose a growing threat, amplified by the increasing complexity and sophistication of cyberattacks. The U.S. Cybersecurity and Infrastructure Security Agency's Known Exploited Vulnerabilities catalog has surpassed 1,300 entries, with steady growth reflecting the increasing number of threats targeting essential services and networks. Despite this rising threat, current assessment methods rely heavily on manual analysis, requiring significant expertise and time. INGOTS seeks to address this challenge by automating the creation, modification, modeling and analysis of exploit chains to enable faster and more effective security interventions.
"Effectively countering exploit chains requires more than just identifying individual vulnerabilities. It demands a system that can replicate real-world attack scenarios and anticipate potential risks before they are exploited," said
To support this effort, BBN will apply its expertise in testbed architecture to develop the System Test of Android at Large-scale Accelerating Generation and Modeling for INGOTS Test and Evaluation, or STALAGMITE. This system will serve as a comprehensive platform for testing and evaluating exploit analysis tools, offering key capabilities such as:
- Accurate real-world simulations: High-fidelity testing in combined virtual and physical environments ensures realistic assessments of Android vulnerabilities in a secure and controlled setting.
- Proactive threat responses: Seamless integration of INGOTS components enables security teams to anticipate and mitigate potential attacks, enhancing preparedness against emerging threats.
- Efficient security research: A robust environment for reproducible, automated testing advances research in software vulnerabilities and countermeasures, improving operating system and application security.
"Today's manual methods for assessing exploitability are costly, time-consuming and lack scalability and efficiency," said Dietz. "We aim to alleviate this burden from security professionals by accelerating the automatic identification of security risks across various devices and configurations using precise testing and measurement to strengthen overall cybersecurity defenses."
While the program focuses on the Android ecosystem, the methodologies and technologies developed under INGOTS are expected to have far-reaching applications across personal, business, government and military sectors.
The BBN-led team includes Assured Information Security. Work on the program will be completed in
About RTX BBN Technologies
Founded in 1948, RTX BBN Technologies provides advanced technology research and development with a focus on national security priorities. From the ARPANET to the first email, through the first metro network protected by quantum cryptography, BBN consistently transitions advanced research to produce innovative solutions for its customers. BBN takes risks and challenges conventions to create solutions in analytics and machine intelligence, networks and sensors, intelligent software and systems, and physical sciences.
About RTX
RTX is the world's largest aerospace and defense company. With more than 185,000 global employees, we push the limits of technology and science to redefine how we connect and protect our world. Through industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon – we are advancing aviation, engineering integrated defense systems for operational success, and developing next-generation technology solutions and manufacturing to help global customers address their most critical challenges. The company, with 2024 sales of more than $80 billion, is headquartered in Arlington, Virginia.
For questions or to schedule an interview, please contact [email protected]
View original content:https://www.prnewswire.com/news-releases/rtx-to-optimize-cyber-vulnerability-detection-for-darpa-302521912.html
SOURCE RTX
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