  Cyber Security is a critical topic for organizations with IT/OT networks as
they are always susceptible to attack, whether insider or outsider. Since the
cyber landscape is an ever-evolving scenario, one must keep upgrading its
security systems to enhance the security of the infrastructure. Tools like
Security Information and Event Management (SIEM), Endpoint Detection and
Response (EDR), Threat Intelligence Platform (TIP), Information Technology
Service Management (ITSM), along with other defensive techniques like Intrusion
Detection System (IDS), Intrusion Protection System (IPS), and many others
enhance the cyber security posture of the infrastructure. However, the proposed
protection mechanisms have their limitations, they are insufficient to ensure
security, and the attacker penetrates the network. Deception technology, along
with Honeypots, provides a false sense of vulnerability in the target systems
to the attackers. The attacker deceived reveals threat intel about their modus
operandi. We have developed a Security Orchestration, Automation, and Response
(SOAR) Engine that dynamically deploys custom honeypots inside the internal
network infrastructure based on the attacker's behavior. The architecture is
robust enough to support multiple VLANs connected to the system and used for
orchestration. The presence of botnet traffic and DDOS attacks on the honeypots
in the network is detected, along with a malware collection system. After being
exposed to live traffic for four days, our engine dynamically orchestrated the
honeypots 40 times, detected 7823 attacks, 965 DDOS attack packets, and three
malicious samples. While our experiments with static honeypots show an average
attacker engagement time of 102 seconds per instance, our SOAR Engine-based
dynamic honeypots engage attackers on average 3148 seconds.
