The increasing complexity of digital infrastructures is presenting companies with ever greater challenges in cyber security. Traditional security solutions such as Security Information and Event Management (SIEM) systems are increasingly reaching their limits: High costs, complex configurations and a flood of alerts are overwhelming security teams. At the same time, the number and variety of data sources that need to be monitored is constantly increasing. With its new agent-based AI technology, ‘Agentic SIEM’, Trend Micro has developed an approach that addresses these weaknesses and aims to significantly increase operational efficiency.
Limitations of traditional SIEM systems
Traditional SIEM platforms have been established for decades, but their functionality is often tied to manual configurations and predefined parsers. This approach is increasingly inadequate in the face of dynamic data streams from endpoints, networks, cloud applications and IoT devices. The result: a high number of irrelevant alerts that get lost in so-called data lakes and tie up valuable resources of security teams.
This is where Trend Micro’s Agentic SIEM comes in: The platform has been redesigned from the ground up to incorporate the benefits of artificial intelligence (AI) into security data analysis. Agent-based AI can independently analyse data, filter out relevant alerts and continuously learn from experience, significantly reducing the workload for employees. Where complex setup used to take weeks, Agentic AI now provides automation that continuously optimises itself.
Integration of digital twin technology
The combination of Agentic SIEM and Trend Micro’s digital twin technology delivers significant added value. Virtual models of IT and OT environments enable proactive risk minimisation: security gaps can be simulated, vulnerabilities identified and countermeasures tested before real damage occurs. This approach can increase resilience and ensure regulatory compliance, particularly in critical areas such as healthcare, supply chain management, predictive maintenance and smart buildings.
Technological highlights
Trend Vision One Agentic SIEM offers numerous features that go beyond classic SIEM capabilities:
- Extensive data integration: Over 900 different data sources have been supported since August 2025 to identify threats with maximum context.
- Fast onboarding of new log types: New log sources can be integrated within three days; by 2026, this is to be reduced to just three hours to minimise risks from unknown assets.
- XDR functions: Six native sensors for endpoints, cloud, email, networks, servers and identities comprehensively detect threats. Additional telemetry data from third-party providers offer a holistic overview.
- Data archiving: Historical data can be stored for up to seven years, analytical data for up to two years, facilitating threat hunting, compliance and retrospective analysis.
Dave Gruber, Principal Cybersecurity Analyst at ESG, comments: ‘With the increasing use of AI in security solutions, the data base must be intelligently expanded to support agent-based functions. Agentic SIEM brings exactly that to market at the right time by combining speed, performance and risk-oriented insights to mitigate threats faster.’
Automation of security processes
Agentic SIEM addresses key challenges in security operations and extends the classic SIEM concept:
- Threat detection and response: Instead of manual log monitoring, AI takes over anomaly detection and automated countermeasures. The time to detect and defend against attacks is significantly reduced.
- Compliance support: The combination of extensive data retention and search capabilities in archive data facilitates compliance with legal regulations and audit requirements.
- Incident investigation: Manual, time-consuming investigations are replaced by automated data correlation, accelerating processes and reducing errors.
Rachel Jin, Chief Enterprise Platform Officer at Trend Micro, emphasises: ‘Agentic SIEM is a milestone on the road to fully AI-driven security operations. Security teams will be able to focus on strategic tasks in the future, while agent-based AI takes over operational activities.’
Outlook: Increased efficiency and strategic relief
The introduction of Agentic SIEM clearly shows how AI can relieve the burden on security departments: Filtering irrelevant alerts, intelligent analysis of log data and proactive measures reduce the workload of security teams. At the same time, the precision of threat detection and incident response increases.
The combination of agent-based AI and digital twin models opens up new opportunities for companies to identify and mitigate risks at an early stage. This offers decisive advantages, especially in highly regulated and sensitive industries: increased resilience, improved compliance and optimised operational security processes.
Conclusion
Trend Micro’s Agentic SIEM marks a technological leap forward in SIEM solutions. The use of agent-based AI effectively reduces the flood of alerts, increases response speed and at the same time reduces the strategic workload of security teams. The integration of digital twin functions reinforces this effect by enabling potential risks to be identified and assessed before they occur. In an increasingly complex threat landscape, this demonstrates that AI not only provides tools for analysis, but also plays a crucial role in helping security teams implement secure, proactive security strategies.
