AI Agentic Vulnerability Injection and Transformation with Optimized Reasoning

The increasing complexity of software systems and the sophistication of cyber-attacks have underscored the critical need for effective automated vulnerability detection and repair systems. Traditional methods, such as static program analysis, face significant challenges related to scalability,...

LMDG: Advancing Lateral Movement Detection through High-Fidelity Dataset Generation

Lateral Movement LM attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development and evaluation of LM detection systems are impeded by the absence of realistic, well-labeled datasets. To address this...

Security and Privacy Assurance Research: SPARTA Framework

Security and Privacy Assurance Research Developed as a part of MIT Lincoln Laboratory’s test and evaluation role in the SPAR Security and Privacy Assurance Research program , SPARTA SPAR Testing and Assessment framework is a set of software applications used to evaluate the functionality and...