AI-powered cloud-based SIEM solutions help detect threats in real time: Securonix

One can unlock unparalleled detection and response capabilities with Securonix’s unified, cloud-native SIEM, built for seamless deployment and scalability across any environment.

Dipesh Kaura, Country Director, India & SAARC, Securonix, tells us more. Excerpts from an interview: 

DQ: How are AI-powered, cloud-based SIEM solutions transforming real-time threat detection in healthcare organizations? Can you share examples of how behavioral analytics and AI-driven automation help detect insider threats and prevent data breaches in hospitals?

Dipesh Kaura: With AI-powered cloud-based Unified Defense (UD) SIEM solutions and the help of machine learning, healthcare organizations can now instantly process large amounts of patient data and automate audit trails by maintaining tamper-proof logs of every security event. 

Behavioral analytics like User and Entity Behavior Analytics (UEBA) solutions and AI-driven automation help detect insider threats and prevent data breaches in hospitals by quickly identifying any abnormal activities  of a person and transform any Threat Detection, Investigation and Response (TDIR). 

For example, when a large multi-specialty hospital chain that handles vast amounts of data in India, faces a data security challenge when abnormal access patterns are detected in their Electronic Health Records (EHR) system, where certain patient records are being accessed outside of regular working hours and from multiple locations, initially, the IT team might suspect it to be a system error. With manual investigation being time-consuming and inefficient, it might not be investigated thoroughly.  

However, by implementing UEBA solutions, the hospital chain can quickly detect anomalous behavior and identify the threat, even if an internal employee is involved, especially if their behavior patterns are different from their usual activities.  Instead of overwhelming security teams with generic alerts, UEBA can distinguish genuine threats from normal workflow deviations, saving time and improving response efficiency.

DQ: With increasing regulatory pressures like DISHA (India’s Digital Information Security in Healthcare Act) and global compliance standards, how can AI-powered SIEM solutions streamline compliance processes for healthcare providers?

Dipesh Kaura: With the evolving regulations like DISHA (India’s Digital Information Security in Healthcare Act) and global compliance frameworks such as HIPAA and GDPR, healthcare organizations face immense pressure to secure patient data and demonstrate compliance. 

Traditional compliance processes, which often rely on manual audits and static rule-based monitoring, are not only time-consuming but also leave room for human error and delayed threat detection.

This is where AI-powered, cloud-based SIEM (Security Information and Event Management) solutions play a transformative role. By leveraging User Entity Behavior Analytics (UEBA) and real-time threat intelligence, these solutions automate compliance monitoring, ensuring that healthcare providers meet regulatory mandates without adding operational overhead.

By integrating AI into compliance workflows, healthcare organizations not only ensure regulatory adherence but also proactively strengthen their security posture, reducing financial and reputational risks. 

DQ: What are the key challenges healthcare organizations face in ensuring data security and compliance, and how does AI help overcome them?

Dipesh Kaura: Healthcare organizations today face a perfect storm of cybersecurity challenges—rising cyber threats, stringent compliance mandates, and the growing complexity of digital healthcare systems.  Since healthcare organizations handle sensitive patient data, it is one of the major targets for cybercriminals. 

A report by Seqrite Labs, in partnership with the Data Security Council of India (DSCI), highlighted a pressing concern where healthcare accounted for 21.82% of all detected cyber threats in 2024, surpassing other high-risk sectors such as hospitality (19.57%) and banking, financial services, and insurance (17.38%).

One of the biggest challenges that healthcare organizations face is phishing, where criminals trick the family members of the patient into clicking on the malicious link, disguising themselves as authentic individuals from hospitals and convincing them to share confidential data. 

Data breaches are also a major concern because they lead to financial loss, reputational damage and regulatory scrutiny. Insider threats are major challenges that healthcare organizations face. Employees from within the organization who have access to sensitive data can intentionally or unintentionally expose them. 

As healthcare in India undergoes rapid digital transformation, AI-powered cybersecurity solutions are no longer optional—they are essential. By integrating AI-driven SIEM platforms, healthcare organizations can stay ahead of evolving threats, ensure compliance, and most importantly, protect patient trust in an increasingly data-driven world.

DQ: As hospitals adopt EHRs (Electronic Health Records), cloud storage, and telemedicine, what new cybersecurity risks emerge, and how can cloud-based SIEM solutions mitigate them?

Dipesh Kaura: The shift to interconnected, cloud-based systems improves patient care and operational efficiency, but significantly expands the attack surface for cybercriminals. Since, EHRs store large amounts of medical records and the history of patients, which include sensitive data, it became easier for attackers to grab these data and cause a major data breach. 

Cybercriminals can steal this information and sell it on the dark web since patient data is highly valuable in cases of identity theft and insurance fraud. Misconfigurations and weak access controls in cloud storage can expose patient records, posing a threat to healthcare organizations. 

Cybercriminals are also targeting telemedicine platforms, when they transfer data over unsecured networks or through connected medical devices (IoT), such as smart infusion pumps or remote patient monitoring systems, which lack built-in security, creating potential entry points for cyber threats, and give them access to exploit vulnerabilities in applications, medical devices, and network security. 

AI-powered cloud-based SIEM solutions help by detecting these threats in real time, automating security checks, and improving overall protection. Automated compliance monitoring ensures that hospitals meet DISHA, HIPAA, and GDPR, reducing legal and financial risks. 

SIEM also helps mitigate these risks by collecting security data from different sources, spotting unusual activities, and alerting teams to threats in real time. SIEM solutions provide zero-trust security for IoT devices, detecting anomalies like unauthorized device access or abnormal data transmissions. It also automates responses and ensures companies follow security rules,  which ultimately prevent cyberattacks and data breaches in healthcare organizations. 

DQ: Looking ahead, how do you see AI, automation, and predictive analytics shaping the future of healthcare cybersecurity in India?

Dipesh Kaura: With patient data becoming the new currency, healthcare providers must adopt AI-driven, cloud-based security solutions to protect sensitive information, prevent costly breaches, and maintain patient trust. The time to act is now—because in healthcare, cybersecurity is patient safety. 

AI has improved SOC (Security Operations Center) workflows by reducing alert processing time from hours to minutes. This helps smaller teams manage more work, which helps in faster and more accurate threat detection. This will ensure that healthcare institutions in India protect their patient data.