Breach & Attack Simulation for Fintech Client
Challenge
The client, a growing fintech company in Chennai, was concerned about advanced persistent threats (APTs), phishing attempts, and a lack of real-world validation of its cybersecurity stack. Despite strong compliance posture, the internal security team had no visibility into how their defenses would hold up against real-world attacks. Their SIEM setup lacked tuned correlation rules, and their blue team was only reactive. There was also no simulation framework in place to mimic attacker behavior or validate incident response processes.
The client, a growing fintech company in Chennai, was concerned about advanced persistent threats (APTs), phishing attempts, and a lack of real-world validation of its cybersecurity stack. Despite strong compliance posture, the internal security team had no visibility into how their defenses would hold up against real-world attacks. Their SIEM setup lacked tuned correlation rules, and their blue team was only reactive. There was also no simulation framework in place to mimic attacker behavior or validate incident response processes.
Solution
DefenderRabbit deployed a custom Breach and Attack Simulation (BAS) plan targeting the client's crown jewels — financial APIs, client databases, and admin dashboards. We used MITRE ATT&CK-aligned adversary emulation, ran weekly simulation campaigns, and coordinated with the internal SOC for response validation. Using our proprietary toolkit and automation playbooks, we safely simulated phishing payloads, privilege escalation techniques, and lateral movement paths. This was complemented with red teaming, vulnerability chaining, and SIEM rule tuning workshops to improve detection fidelity.
DefenderRabbit deployed a custom Breach and Attack Simulation (BAS) plan targeting the client's crown jewels — financial APIs, client databases, and admin dashboards. We used MITRE ATT&CK-aligned adversary emulation, ran weekly simulation campaigns, and coordinated with the internal SOC for response validation. Using our proprietary toolkit and automation playbooks, we safely simulated phishing payloads, privilege escalation techniques, and lateral movement paths. This was complemented with red teaming, vulnerability chaining, and SIEM rule tuning workshops to improve detection fidelity.
Results
- dentified 14 unknown attack paths
- Reduced Mean Time to Detect (MTTD) by 68%
- Increased incident response speed by 54%
- Tuned over 20+ SIEM rules for real-world threats
- Delivered a repeatable playbook and adversary simulation framework
- Significantly improved board-level confidence in cybersecurity posture
- Ongoing support retained by the client for continuous security validation
- dentified 14 unknown attack paths
- Reduced Mean Time to Detect (MTTD) by 68%
- Increased incident response speed by 54%
- Tuned over 20+ SIEM rules for real-world threats
- Delivered a repeatable playbook and adversary simulation framework
- Significantly improved board-level confidence in cybersecurity posture
- Ongoing support retained by the client for continuous security validation