As cyber threats grow more sophisticated and enterprise environments become increasingly complex, traditional SIEM platforms are struggling to keep pace. In this conversation with TAM, Zubair Chowgale, Director, Sales Engineering – EMEA & APJ at Securonix, explains how next-generation SIEM solutions are redefining security operations through open architecture, AI-driven analytics, and seamless integration across hybrid environments. He also shares insights into how advanced UEBA capabilities, reduced false positives, and a unified approach to security are helping organisations move towards faster, more efficient threat detection and response.
TAM: How are next-generation SIEM platforms fundamentally redefining the traditional ones in terms of scalability, analytics, and data handling?
Zubair Chowgale: Traditional SIEM platforms were designed for a different era, and their proprietary, database-centric architectures are no longer equipped to handle the scale, speed, and diversity of modern enterprise data. As data volumes surge, these limitations result in performance bottlenecks, escalating costs, and vendor lock-in, ultimately constraining how organizations access, manage, and derive value from their own security data.
Next-generation platforms such as Securonix Unified Defense SIEM are designed for the realities of today’s SOC. Built on an open architecture and powered by agentic AI, it is engineered to scale with each customer’s environment and threat landscape. Open by design and supported by extensible APIs, the platform integrates seamlessly across SIEM, SOAR, XDR, EDR, cloud, and on-premises ecosystems without forcing rip-and-replace decisions. Securonix platform is built natively on Snowflake and AWS, enabling elastic scalability, resilience, and high performance. Its advanced analytics and long-term retention capabilities allow organizations to ingest and analyze vast volumes of telemetry in real time, while ensuring cost-efficient storage over extended periods. With an open data model at its core, Securonix delivers data portability and flexibility, empowering customers to retain full control over their security data as their needs evolve.
TAM: Which specific UEBA capabilities differentiate Securonix from other traditional SIEM vendors?
Zubair Chowgale: With cyberattacks becoming more advanced, traditional rule-based security approaches are losing effectiveness. They often fail to detect complex threats and produce a high volume of false alerts, slowing investigations and overwhelming security teams. Securonix UEBA, on the other hand, addresses these challenges by continuously analyzing user and entity behavior to identify anomalies, suspicious lateral movement, and insider threats across both cloud and on-premises environments. Built-in integrations and APIs provide visibility across major cloud platforms as well as critical security and business applications.
By leveraging machine learning and pre-built, proven use cases, UEBA cuts through the noise to highlight the highest-risk activity, enabling analysts to focus on what truly matters. As part of the industry’s first Unified Defense SIEM powered by agentic AI, Securonix empowers organizations to reduce mean time to respond, accelerate threat mitigation, and deliver measurable security outcomes that resonate at the board level.
TAM: How does Securonix integrate with existing security stacks, EDR, IAM, cloud platforms, and multi-cloud environments?
Zubair Chowgale: The Securonix platform is designed to work with existing security ecosystems rather than replace them. The platform uses an open architecture and extensible APIs to integrate across EDR, IAM, and cloud, allowing organizations to preserve prior investments while improving visibility and response. At the endpoint and identity layers, Securonix integrates with leading EDR and IAM platforms to ingest telemetry such as authentication activity, privilege changes, endpoint behavior, and access patterns.
Leveraging advanced behavioral analytics, the platform enriches and correlates data to identify insider threats, compromised credentials, and lateral movement that point solutions often overlook. For cloud environments, Securonix delivers deep, native integrations with AWS, Azure, and Google Cloud, capturing identity, audit, network, and workload telemetry to ensure unified visibility across hybrid and multi-cloud ecosystems. By analyzing cloud and on-premises activity together, it builds consistent behavioral baselines and flags anomalous access or data movement.
TAM: AI and ML play a key role in reducing false positives in SOC environments. What is your approach to driving detection using these technologies?
Zubair Chowgale: AI and machine learning give SOC teams a critical advantage in today’s high-pressure threat landscape. At Securonix, AI is designed to augment analysts by handling the operational workload that slows detection and response, allowing teams to focus on real risk.
Through continuous analysis of streaming data, the Securonix Unified Defense SIEM uncovers anomalies and suspicious behaviors that typically evade traditional rule-based controls. By converting raw telemetry into contextualized insights in real time, the platform significantly reduces false positives and analyst fatigue. Alerts are enriched with identity, asset, network, and activity context, giving security teams a clearer and more complete view of risk without manual correlation.
Securonix threat chains connect related activity over time, linking indicators of compromise with attacker tactics, techniques, and procedures to uncover patterns associated with advanced and insider threats. This behavioral analytics approach prioritizes high-fidelity alerts, reduces noise at scale, and enables faster, more confident responses. In practice, customers reduce false positives by up to 90 percent and lower SIEM operating costs by more than 50 percent, allowing security teams to operate more efficiently and effectively.
TAM: How does the Securonix Marketplace support security operations today, and which pre-built content packs deliver the greatest value for SOC teams?
Zubair Chowgale: The Securonix Marketplace extends the value of the platform by providing ready-to-use integrations, detections, and response content that help SOC teams move faster without custom development. It is built to streamline the onboarding of new data sources, speed up detection coverage, and minimize the ongoing effort needed to manage and maintain security content.
The Marketplace now offers a broad range of pre-built content, including connectors, parsers, detection use cases, enrichment logic, dashboards, and response workflows. This allows teams to quickly integrate security, cloud, identity, and business applications while ensuring telemetry is normalized and immediately usable for analytics and investigation.
The most impactful content packs for SOC teams are typically those that address the areas with the greatest operational priority. Identity and access monitoring packs are widely adopted because they improve visibility into authentication activity, privilege misuse, and insider risk. Cloud and SaaS content packs for platforms such as AWS, Azure, and Google Cloud help teams monitor user behavior, configuration changes, and data access across hybrid environments. Endpoint and network-focused packs add behavioral context that strengthens detection of lateral movement and advanced threats.
Threat intelligence enrichment and automated response content are also highly valued, as they help reduce noise and speed investigation by providing context and guided actions directly within the analyst workflow. Together, these pre-built packs allow SOC teams to expand coverage quickly, improve detection quality, and focus more time on responding to meaningful risk rather than building and maintaining content from scratch.
