iQuasar Cyber

Redefining Data Security with User Behavior Analytics

In today’s digital age, data is the lifeblood of almost all organizations, including banks, healthcare systems, hospitals, government institutions, etc. Healthcare businesses manage susceptible information, including patients’ medical records and financial details, and ensuring the utmost security of this data is not just a priority—but a necessity. With the rise in sophisticated cyber-attacks, traditional security measures are no longer enough and fall short of safeguarding assets. Enter User and Entity Behavior Analytics (UEBA), a game-changing approach to data security that augments traditional security controls to protect an organization’s assets.

What is User and Entity Behavior Analytics?

UEBA is an advanced cybersecurity technique that leverages machine learning and big data analytics to monitor, capture, and analyze user behavior in real time, thereby acting on any malicious attack on data or company assets. The scope of UEBA provides more extensive insight into an organization’s data by incorporating user and device data into one data pane. By understanding the typical behavior of legitimate users, UEBA can detect anomalies that may indicate a security threat with a high percentage of accuracy. Collecting data for a user and integrating it with other security products, UEBA tools create a baseline for normal user behavior across the organization.

Why is UEBA Essential for Organizations?

  1. Sensitive Data:

    Industries such as healthcare handle data that, if compromised, can lead to significant financial, legal, and reputational damage. UEBA provides an additional layer of security by identifying unusual patterns that might go unnoticed with traditional security measures in real-time with guidance for real-time action.

  2. Regulatory Compliance:

    Almost all organizations especially the healthcare and banking industries are bound by strict regulatory requirements. UEBA can help institutions remain compliant by ensuring that data access and activities are continuously monitored, audited, and remediated.

  3. Insider Threats:

    Not all threats originate from outside organizations or individuals. The danger can reside within an organization, as documented in several cases in the past. Attacks within an organization from disgruntled employees or those with malicious intentions can and do still occur. UEBA can detect unusual behavior from employees and non-employees, ensuring that potential threats are identified and mitigated before they occur.

  4. Lower costs:

    IT budgets can be reduced by lowering the number of security analysts who monitor and correlate data accurately rating machine learning and artificial intelligence can reduce the headcount for analysts and provide real-time solutions for acting on a potential breach. Preventing an attack significantly lowers operating costs for any organization using UEBA.

  5. Lower Risks:

    Preventing attacks and providing real-time data for action lowers the overall risk for organizations. As more data is analyzed, UEBA tools can learn and automate actions to prevent high-risk situations from occurring. Instead of waiting for a breach to occur, UEBA allows organizations to be proactive. It can detect threats in real time by continuously analyzing user behavior and collecting data points, enabling immediate action. The footprint of UEBA is significantly more extensive and always grows without adding significant resources. UEBA systems can assign risk scores to any user in an organization based on data.

  6. Reduced False Positives:

    Traditional security systems can sometimes flag legitimate activities as threats, leading to unnecessary service disruptions. With UEBA’s advanced analytics, the accuracy of threat detection is significantly improved, targeted, and automated for actions.

  7. High Adaptability:

    Cyber threats are continuously evolving. UEBA systems learn from historical data and adapt to new patterns, ensuring that security measures are always a step ahead of potential malicious activities. UEBA is self-learning and unsupervised and does not need manual tuning and housekeeping.

As cyber-attacks become more sophisticated, the need for advanced security measures like User and Entity Behavior Analytics becomes increasingly evident. For verticals like healthcare and financials, where the stakes are exceptionally high, UEBA offers a promising solution to safeguard sensitive data and maintain the trust of patients and customers. By redefining data security with UEBA, these institutions can ensure a safer, more secure digital future.

iQuasar Cyber offers organizations experienced consultants who have implemented large-scale cybersecurity transformation projects to meet business goals. Schedule a consultation discussion to discover our services and how we can secure your business.

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