Webinar Description
Key Takeaways
- Explores autonomous, AI-driven Security Operations Centers and their role in defending against AI-powered cyberattacks
- Addresses data sovereignty, cost predictability and operational control when deploying AI in security environments
- Covers deployment strategies for disconnected and air-gapped environments
- Designed for SOC managers, CISOs, security architects and IT leaders responsible for security operations
About the Event
This webinar examines the practical challenges of implementing agentic Security Operations Centers, where autonomous AI systems handle threat detection and triage. The session is led by a Chief Product Architect and focuses on how organisations can adopt AI-driven security capabilities while retaining control over their data and infrastructure.
Agentic SOC Challenges and Solutions
The webinar addresses several operational concerns that arise when introducing autonomous agents into security workflows. These include maintaining trust and transparency in AI decision-making, managing unpredictable costs associated with AI adoption, and preserving data sovereignty across distributed architectures. The session also covers flat-fee subscription models as an approach to cost predictability.
A particular focus is placed on environments with strict security requirements, including disconnected and air-gapped networks where traditional cloud-based AI solutions may not be viable. The presentation explores how automation can scale SOC capacity by handling routine triage tasks, allowing security analysts to concentrate on complex investigations.
Who Should Attend
The webinar is suited to cybersecurity professionals evaluating AI-driven automation for their security operations. SOC managers, CISOs, security architects and IT leaders in organisations with stringent compliance requirements or air-gapped infrastructure will find the content most relevant. Decision-makers assessing the risks and benefits of autonomous security agents should also consider attending.