Banking, financial services and insurance (BFSI)
AIOps for Secure Banking Operations
Explore how Netka drives secure banking operations through the power of AIOps.
Navigating the Complexities of the Modern Telecom Landscape
The telecommunications industry is undergoing a transformative shift, driven by technological advancements like 5G, IoT, AI, and cloud computing. This era, often referred to as the “Intelligent Telecommunications Era,” demands agility, efficiency, and a customer-centric approach. To thrive in this dynamic landscape, telecommunications providers must embrace innovative solutions that enhance network performance, optimize operations, and deliver superior customer experiences.
Challenges
The operational landscape for contemporary financial institutions is characterized by a convergence of critical risks that systemically undermine security, efficiency, and profitability. The traditional, siloed approach to IT and security operations has proven inadequate to address these multifaceted challenges.
- The Global Challenge of Scale and Data Volume: The progression of digital transformation has engendered an immense scale ecosystem. Globally, real-time transactions are projected to increase from 195 billion to 511 billion by 2027, creating a vast and complex attack surface from which new vulnerabilities continually emerge.
- The Global Economic Consequences of Operational Failure: The financial ramifications of operational or security failures have escalated to a level of significance that demands board-level attention. These events represent substantial business risks, not merely technical issues.
- Cost of a Data Breach: A single data breach now incurs an average cost of $6.08 million for a financial institution globally.
- Cost of System Downtime: Outages of critical systems lead to direct revenue loss and diminished productivity, with costs estimated to exceed $1,000,000 per hour.
- Global Operational Constraints and Human Capital Limitations: The primary line of defense, the Security Operations Center (SOC), is inundated by the sheer volume of alerts from disparate monitoring systems.
- Alert Volume: The average SOC receives more than 11,000 alerts per day. This creates an unsustainable signal-to-noise ratio that results in “alert fatigue,” a critical vulnerability wherein analysts become desensitized to warnings, thereby increasing the probability that sophisticated threats will go undetected
Region-Specific Pressures: The View from Asia and Thailand
While these challenges are global, they are acutely intensified in Asia’s rapidly digitizing economies, particularly in Thailand.
Hyper-Accelerated Digital Adoption:
Thailand is a leader in digital payment adoption. In 2024 alone, the country processed over 15.3 billion real-time transactions, a figure expected to grow exponentially. This hyper-adoption creates an environment where security infrastructure development often lags user-facing technology, making Thai financial institutions a principal target for malicious actors.
Intensified Cyber Threat Landscape:
The region is an area of heightened activity for cyberattacks. Organizations in Thailand report experiencing a significantly higher volume of attacks compared to the global average, with 83% of Thai companies reporting an increase in cyber-attacks in the past year. Ransomware and sophisticated phishing campaigns are particularly prevalent, exploiting trust in mobile-first communication platforms.
Complex Regulatory Environment (PDPA):
Thailand is a leader in digital payment adoption. In 2024 alone, the country processed over 15.3 billion real-time transactions, a figure expected to grow exponentially. This hyper-adoption creates an environment where security infrastructure development often lags user-facing technology, making Thai financial institutions a principal target for malicious actors.
Example Usecase
The Netka AIOps is an integrated solution designed to automate the entire lifecycle of an IT incident. Its primary goal is to transform a bank’s security from a reactive, manual process into a proactive and automated one. It achieves this by combining data ingestion, AI-powered analysis, and automated responses.
Here is a step-by-step explanation of the flow shown in the diagram:
(Step 1)
The process starts when a user attempts to log in to the mobile banking app or website. This action, whether legitimate or fraudulent, is the trigger event.
(Step 2)
INGEST: The system immediately collects all relevant data associated with the login attempt. This includes not just the credentials but also crucial context like the user’s, IP Address, their Device ID, and their geographic Location.
(Step 3)
ANALYZE: The platform checks this data for anomalies. For example, it cross-references the IP address with global threat intelligence databases and checks if the device is new or unrecognized for that specific user.
(Step 4)
CORRELATE: This is the most critical step. The AIOps engine connects different data points to assess the true risk. It understands that an "abnormal login" (from a new device and a suspicious IP) combined with a "suspicious transaction" (like an immediate high-value transfer) constitutes a “highest risk event."
(Step 5)
This step includes several simultaneous actions:
- 1. BLOCK: The suspicious login attempt is instantly blocked.
- 2. ALERT: An SMS is sent to the real customer, and a critical alert is created on the Security Operations Center (SOC) dashboard.
- 3. SECURE: The customer's account is temporarily locked to ensure safety.
- 4. Team SOC & Operation: Finally, the human security team is notified with all the correlated data, allowing them to begin their investigation
with full context and take further action, such as contacting the customer or permanently revoking credentials.
The process starts when a user attempts to log in to the mobile banking app or website. This action, whether legitimate or fraudulent, is the trigger event.
INGEST: The system immediately collects all relevant data associated with the login attempt. This includes not just the credentials but also crucial context like the user’s, IP Address, their Device ID, and their geographic Location. ay, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast
ANALYZE: The platform checks this data for anomalies. For example, it cross-references the IP address with global threat intelligence databases and checks if the device is new or unrecognized for that specific user.
CORRELATE: This is the most critical step. The AIOps engine connects different data points to assess the true risk. It understands that an "abnormal login" (from a new device and a suspicious IP) combined with a "suspicious transaction" (like an immediate high-value transfer) constitutes a “highest risk event."
This step includes several simultaneous actions:
1. BLOCK: The suspicious login attempt is instantly blocked.
2. ALERT: An SMS is sent to the real customer, and a critical alert is created on the Security Operations Center (SOC) dashboard.
3. SECURE: The customer's account is temporarily locked to ensure safety.
4. Team SOC & Operation: Finally, the human security team is notified with all the correlated data, allowing them to begin their investigation
with full context and take further action, such as contacting the customer or permanently revoking credentials.
Benefits:
Proactive Threat Mitigation:
Shifts security from a reactive, signature-based model to a proactive, behavioral one. It identifies and obstructs sophisticated "zero-day" threats in real-time before they can impact the business.
Unified Operational Visibility:
Dismantles data silos to create a single, correlated view of the entire IT environment, providing unprecedented insight for more informed, strategic decision-making.
Enhanced Customer Trust:
Strengthens customer confidence and brand reputation by proactively protecting accounts and ensuring high service availability, a key competitive differentiator.
Results:
Drastic MTTR Reduction:
Incident response times are reduced from hours or days to mere seconds. This machine-speed neutralization of threats minimizes attack impact, preventing data exfiltration and financial loss.
Significant Operational Efficiency:
Over 90% of routine alert analysis is automated. This yields considerable savings and allows skilled SOC analysts to focus on high-impact investigations instead of mundane tasks.
Clear Return on Investment (ROI):
A clear ROI is achieved by minimizing downtime costs, reducing the financial impact of breaches, and optimizing operational spending through enhanced productivity.
- Real Results from Real Netka Customers -
ELEVATING THE USER EXPERIENCE WITH NETKA’S DPI SOLUTION
- Challenge: A telecommunications provider struggled with a poor user experience due to unidentified network traffic impacting critical applications.
- Solution: Netka implemented its Deep Packet Inspection (DPI) solution to identify and prioritize traffic, ensuring smooth operation of essential applications.
- Result: The DPI solution significantly improved user experience by optimizing network performance and minimizing disruptions.
BOOSTING DATA CENTER PERFORMANCE WITH NETKA’S DPI SOLUTION.
- Challenge: A telecommunications company faced inefficiencies in data center operations, leading to performance bottlenecks.
- Solution: Netka’s DPI solution provided real-time insights into network traffic patterns, enabling optimization of data center resource allocation.
- Result: The DPI solution helped the company improve data center performance, resulting in increased efficiency and cost savings.