2 citations · 4 across the 4 of their papers we have counts for
5 papers
Scan Before You Install: Detecting and Mitigating Local and Composite Vulnerabilities in Skills
Parth A. Gandhi, Avital Aviv, Prasanna N. Wudali +2
An agent skill packages natural-language instructions, scripts, and reference files that an LLM-based agent loads for a task. Skills may access the file system, shell, and network…
SHIELD: APT Detection and Intelligent Explanation Using LLM
Parth Atulbhai Gandhi, Prasanna N. Wudali, Yonatan Amaru +2
Advanced persistent threats (APTs) are sophisticated cyber attacks that can remain undetected for extended periods, making their mitigation particularly challenging. Given their pe…
Rule-ATT&CK Mapper (RAM): Mapping SIEM Rules to TTPs Using LLMs
Prasanna N. Wudali, Moshe Kravchik, Ehud Malul +3
The growing frequency of cyberattacks has heightened the demand for accurate and efficient threat detection systems. SIEM platforms are important for analyzing log data and detecti…
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning
Yonatan Amaru, Prasanna Wudali, Yuval Elovici +1
Advanced persistent threats (APTs) pose significant challenges for organizations, leading to data breaches, financial losses, and reputational damage. Existing provenance-based app…
IC-SECURE: Intelligent System for Assisting Security Experts in Generating Playbooks for Automated Incident Response
Ryuta Kremer, Prasanna N. Wudali, Satoru Momiyama +4
Security orchestration, automation, and response (SOAR) systems ingest alerts from security information and event management (SIEM) system, and then trigger relevant playbooks that…