most citedSHIELD: APT Detection and Intelligent Explanation Using LLM

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2025

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

Parth Atulbhai Gandhi, Akansha Shukla, David Tayouri +4

Evaluating the security of multi-agent systems (MASs) powered by large language models (LLMs) is challenging, primarily because of the systems' complex internal dynamics and the ev…

cs.CR2025

Mind the Web: The Security of Web Use Agents

Avishag Shapira, Parth Atulbhai Gandhi, Edan Habler +1

Web-use agents are rapidly being deployed to automate complex web tasks with extensive browser capabilities. However, these capabilities create a critical and previously unexplored…

cs.CR2025

RuleGenie: SIEM Detection Rule Set Optimization

Akansha Shukla, Parth Atulbhai Gandhi, Yuval Elovici +1

SIEM systems serve as a critical hub, employing rule-based logic to detect and respond to threats. Redundant or overlapping rules in SIEM systems lead to excessive false alerts, de…

cs.CR20251 cited

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…

cs.CR20251 cited

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…