A Leading Global Financial Institution
A prominent BFSI leader, part of a global entity operating in 64 countries, with a team of over 184,000 professionals worldwide.
Present Scenario: Financial Institution using OpenText™ ArcSight™ Enterprise Security Manager (ESM) SIEM tool.
Limitations:
1. Limited functionality/capability
2. Limited automation and AI capability
3. Lack of context and situational awareness
4. Numerous manual processes
5. Limited third-party asset integration capability
6. Steep learning curve
7. Resource intensive
8. High cost
9. Performance issues
Impact: Affects overall efficiency and cost-effectiveness,especially in environments with limited resources or expertise.
Decision: Move from a technology-based approach to a platform-based approach/advanced aiSIEM with detection, remediation, contextual awareness, automation, and ROI. Customer evaluated Seceon Platform, Rapid7, Splunk, Securonix & Palo Alto XSIAM.
Objective:
Secure critical assets and entire infrastructure, meet Compliance and Regulatory framework for Cyber
Security, Cyber Resilience compliance and Incident response and intellectual property.
Transitioning from the current ArcSight SIEM to cutting-edge technologies or a new AI SIEM platform.
1. Insufficient contextual information and the inability of analysts to maintain situational awareness significantly prolong both the meantime-to-detection (MTTD) and mean-time-toresponse (MTTR) for cyber threats.
2. Outdated cybersecurity point solutions were limited in scope, addressing only fragments of the issue, while lacking comprehensive context and correlation capabilities creating too much noise and false alerts.
3. Organizational expansion, transformation initiatives, and partner system access the potential for access privilege misuse as well as cyber threats.
4. To meet the Securities Exchange Board of India compliance requirements.

Seceon solution with aiSIEM and aiSecurity BI360
Unlike NG-SIEM (Next Generation SIEM) solutions,
Seceon’s aiSIEM leverages behavioral anomaly detection, dynamic threat models, and AI to identify threats at the nascent stages of an attack. It provides automated or playbook-driven responses with remediation to safeguard the organization from data breaches. Post-deployment, the machine learning algorithms required a few weeks to establish a baseline pattern, which subsequently autotuned the detection models.
1. Following implementation, Seceon identified numerous hygiene issues, misconfigured critical assets, and pre-existing incidents. These were swiftly addressed by the networking, IT, and
security teams, significantly enhancing the organization’s cybersecurity posture shortly after deployment.
2. The Seceon aiSIEM platform was configured for auto-remediation on several critical attack vectors,
with alerts established to proactively safeguard the organization against data breaches and malicious activity.
3. Network control policies and custom alerts are configured based on customer-specific conditions.
4. Multiple compliance monitoring reports were created to ensure continuous compliance management and reporting.
5. AiSecurity BI360 enables customers to ascertain their organization’s current security score by evaluating critical factors such as dark web scans,
CVE vulnerabilities, malicious assets, application misconfigurations, SSL misconfigurations, and DNS masquerading.
6. Faster MTTD and MTTR

Noticeable Gains with Seceon aiSIEM



