Webinar Description
Key Takeaways
- Explores behavioural security approaches for organisations deploying AI at enterprise scale
- Introduces the Darktrace Behavioral Defense Platform and Darktrace / SECURE AI
- Addresses visibility gaps in AI activity, Shadow AI risks, and behavioural anomaly detection
- Demonstrates continuous monitoring and autonomous response capabilities
- Designed for CISOs, security architects, and IT leaders in medium to large enterprises
Introduction
As artificial intelligence becomes increasingly embedded within enterprise operations, security teams face a fundamental challenge: traditional perimeter-based controls and static rule sets struggle to keep pace with the dynamic behaviours that AI systems introduce. This on-demand webinar from Darktrace examines how behavioural security methodologies can address the emerging threat landscape, offering cybersecurity professionals and IT leaders insight into protecting organisations where AI agents, development environments, and automated workflows now operate alongside human users.
About This Event
Presented as a 45-minute virtual session, this webinar combines expert commentary with live demonstrations of the Darktrace Behavioral Defense Platform. The programme marks the general availability announcement of Darktrace / SECURE AI, a capability designed specifically to monitor and secure AI activity within enterprise environments. Attendees can expect technical depth appropriate for security practitioners while remaining accessible to strategic decision-makers evaluating AI governance frameworks.
Behavioural Security and the Limitations of Static Controls
Conventional security architectures rely heavily on predefined signatures, access policies, and known threat indicators. These approaches work well against documented attack patterns but falter when confronting novel behaviours—whether from sophisticated adversaries, compromised credentials, or AI systems acting outside their intended parameters. Behavioural security shifts the focus from cataloguing known threats to understanding normal operational patterns and identifying meaningful deviations.
The webinar explores how Adaptive AI underpins this approach, continuously learning what constitutes expected behaviour across users, devices, and now AI agents. When activity diverges from established baselines—whether a user accessing unusual data repositories or an AI agent executing unexpected commands—the system can flag anomalies and, where configured, initiate autonomous response actions without waiting for human intervention.
Securing Enterprise AI Adoption
Organisations adopting AI technologies often lack visibility into how these systems actually behave in production. AI agents may interact with sensitive data, execute privileged operations, or communicate with external services in ways that security teams cannot easily monitor through conventional tooling. Shadow AI—where employees deploy AI tools without formal approval or oversight—compounds these risks by introducing unmanaged capabilities into corporate environments.
Darktrace / SECURE AI addresses these challenges by extending behavioural monitoring to AI prompts, agent activities, and development environments. The platform aims to provide unified visibility across AI, human users, and infrastructure, enabling security teams to understand not just what actions occur but whether those actions align with business intent. This distinction between technical compliance and actual purpose represents a significant evolution in how organisations might approach AI governance.
Identity-Based Threats and Continuous Monitoring
Identity remains a primary attack vector in modern breaches, with compromised credentials enabling adversaries to operate within legitimate access boundaries. Behavioural analytics offers a detection layer that functions independently of whether an attacker possesses valid credentials. By establishing behavioural profiles for individual identities and correlating activity across multiple systems, security platforms can identify suspicious patterns that static access controls would permit.
The webinar demonstrates how continuous behavioural monitoring applies this principle across the enterprise, encompassing cloud workloads, on-premises infrastructure, and the growing population of AI-driven processes that now participate in business operations.
Who Should Attend
This session is particularly relevant for CISOs and security architects evaluating how AI adoption affects their threat models, as well as IT leaders responsible for governance frameworks that must now account for autonomous systems. Product managers working on AI-enabled applications and technical decision-makers assessing security tooling for dynamic environments will find the content applicable to their planning processes. The material assumes familiarity with enterprise security concepts but does not require deep technical expertise in AI or machine learning.
Technology Partnerships and Platform Integration
Darktrace notes partnerships with Microsoft and AWS, reflecting the reality that enterprise AI deployments typically span multiple cloud platforms and require security solutions capable of operating across heterogeneous environments. The Behavioral Defense Platform is positioned to provide consistent monitoring regardless of where AI workloads execute, addressing a practical challenge for organisations with multi-cloud strategies.