Abhijith "Abx" B R
Abhijith B R, also known by the pseudonym Abx, has more than a decade of experience in the offensive cyber security industry. He is a professional hacker, offensive cyber security specialist, security researcher, red team consultant, trainer, and public speaker.
Currently he is involved with multiple organizations as a consulting specialist, to help them build offensive security operations programs, improve their current security posture, assess cyber defense systems, bridge the gap between business leadership and security professionals. In the past, he managed offensive security operations for Envestnet, Inc., held the position of Deputy Manager - Cyber Security at Nissan Motor Corporation, and prior to that, he worked as a sr. security analyst at EY.
As the founder of Adversary Village (https://adversaryvillage.org/), Abhijith spearheads a community initiative focused on adversary simulation, adversary-tactics, purple teaming, threat actor/ransomware research-emulation, and offensive cyber security.
Abx also acts as the Lead of DEF CON Group DC0471, he is actively involved in leading the tacticaladversary.io project. Abhijith has spoken at security conferences such as Nullcon, c0c0n, BSides, DEF CON 28 safemode - DCG Village, The Diana Initiative, Opensource India, Adversary Village at DEF CON 29, DEF CON 30, RSAC 2023 etc.
Session
The hands-on workshop has been created to provide the participants with a better understanding of adversary emulation engagements. The participants will be able to emulate various threat-actors safely in a controlled, enterprise level environment, safely. All machines in the lab environment will be equipped with Anti-Virus, Web proxies, EDR and other Defense systems. The training will have detailed modules of each attack vector used in the lab environment and step by step walk-through of the attack path of an entire enterprise network. The training is intended to help the attendees to assess the defenses and evaluate the security controls deployed in their organization against motivated adversaries.