Detect ransomware transactions in just three days using big data analytics.
Challenge:
Rise of ransomware attacks
The COVID-19 pandemic accelerated digital transformation, increasing organizations’ vulnerability to cyber threats. In recent years, ransomware incidents have surged globally, fueled further by ransomware-as-a-service (RaaS) platforms that enable new hackers with flexible service models. This growing threat underscores that cyberattacks are no longer distant possibilities but immediate challenges for businesses everywhere.
Blendata in Action:
Suspicious transactions identified in 3 days
By harnessing big data and machine learning, Blendata worked with cybersecurity experts to detect and investigate ransomware incidents at a major company in Thailand. Within just three days, Blendata was able to analyze six months of diverse data—structured, semi-structured, and unstructured—and identify all suspicious transactions.
Results Achieved:
Swift mitigation prevented costly disruptions
Early detection stopped the attack from escalating, averting potential system shutdowns and significant financial loss.
Customers Success
