Webinar Description
Key Takeaways
- Explores how frontier AI models are reshaping both offensive and defensive cybersecurity capabilities
- Examines emerging security programs including Anthropic’s Project Glasswing and OpenAI’s Daybreak initiative
- Addresses operational challenges security teams face when integrating advanced AI into existing workflows
- Designed for CISOs, security analysts, AI officers and enterprise technology leaders
- Offers ISC2 CPE credits for qualifying participants
Introduction
SentinelOne is hosting a virtual event examining the accelerating role of frontier AI models in cybersecurity operations. The session brings together Gregor Stewart, Chief AI Officer, and Chris Hosking, Principal Evangelist, for a two-part discussion aimed at security professionals navigating the rapidly shifting landscape of AI-powered threats and defences. As organisations grapple with the dual reality that advanced AI capabilities are now available to both attackers and defenders, understanding how to leverage these technologies effectively has become a pressing operational concern.
The timing reflects a broader industry inflection point. Frontier AI models—systems at the cutting edge of capability, including those in the Mythos-class and GPT-5.5-class categories—are fundamentally changing assumptions about what automated systems can accomplish in security contexts. This event explores what that shift means for enterprise security teams and how organisations can position themselves to respond.
About This Event
The webinar is structured as an executive-level and technical discussion, balancing strategic considerations with practical operational insights. SentinelOne’s participation in several advanced AI access programmes provides the foundation for the conversation. The company has been recognised as critical infrastructure under Anthropic’s Project Glasswing and OpenAI’s Daybreak program, granting it early access to frontier AI capabilities that most organisations cannot yet evaluate directly.
This access informs the session’s central premise: that security vendors with visibility into next-generation AI models can offer meaningful guidance on how these systems will affect threat landscapes before those changes become widely apparent. The event is produced in partnership with ISC2, with CPE credits available for members of the professional cybersecurity body.
Frontier AI Models and Their Security Implications
The discussion centres on frontier AI models, a term describing the most advanced AI systems currently in development or limited deployment. These models represent a significant capability jump from previous generations, with implications that extend across the entire security operations lifecycle.
For defenders, frontier models offer the potential to dramatically accelerate threat detection, automate complex analysis tasks, and augment analyst decision-making in ways that were previously impractical. Security operations centres have long struggled with alert fatigue and the challenge of correlating signals across disparate data sources. Advanced AI systems can process and contextualise information at scales that human analysts cannot match, potentially transforming how security teams prioritise and respond to threats.
However, the same capabilities that benefit defenders are equally available to adversaries. Threat actors can leverage frontier models to craft more convincing social engineering attacks, identify vulnerabilities more efficiently, and automate aspects of attack campaigns that previously required significant manual effort. This symmetry creates a competitive dynamic where the speed of adoption may determine which side gains advantage.
Emerging Security Programs and Verification Frameworks
The event examines several programmes that have emerged as AI developers seek to ensure their most powerful models are deployed responsibly within security contexts. Anthropic’s Project Glasswing and Cyber Verification Program (CVP), alongside OpenAI’s Daybreak program and the Trusted Access for Cyber (TAC) initiative, represent efforts to create structured frameworks for providing advanced AI capabilities to vetted security organisations.
These programmes reflect a recognition within the AI development community that cybersecurity represents a critical use case requiring careful governance. By designating certain security vendors as critical infrastructure and granting them early access, AI developers aim to ensure that defensive capabilities keep pace with potential offensive applications. The programmes also establish verification and oversight mechanisms intended to prevent misuse while enabling legitimate security research and operations.
For enterprise security leaders, understanding these programmes matters because they shape which vendors can offer genuinely advanced AI capabilities and under what constraints. Organisations evaluating AI-enhanced security solutions increasingly need to consider not just current functionality but also vendor access to next-generation models and participation in these emerging governance frameworks.
Operational Integration and Analyst Productivity
Beyond the strategic implications of frontier AI, the session addresses practical questions about integrating these capabilities into existing security operations. The gap between theoretical AI capability and operational value remains significant for many organisations. Advanced models require thoughtful integration with existing tools, workflows and data sources to deliver meaningful improvements in security outcomes.
Analyst productivity represents a particular focus area. Security teams face persistent staffing challenges, with demand for skilled practitioners consistently outpacing supply. AI tools that can handle routine analysis, surface relevant context, and reduce time spent on repetitive tasks offer a path toward making existing teams more effective. However, realising these benefits requires careful attention to how AI recommendations are presented, validated and incorporated into analyst workflows.
The discussion also touches on governance considerations that accompany AI integration. As AI systems take on more significant roles in security decision-making, organisations must establish appropriate oversight mechanisms, define accountability structures, and ensure that automated actions align with organisational policies and risk tolerances.
Who Should Attend
The event is designed for security professionals responsible for strategic and operational decisions about AI adoption within their organisations. Chief Information Security Officers and security directors will find value in the discussion of how frontier AI models are likely to reshape threat landscapes and defensive requirements. Chief AI Officers and technical leaders focused on AI governance will benefit from the examination of emerging verification programmes and their implications for vendor selection.
Security analysts and operations team members seeking to understand how advanced AI tools may change their day-to-day work will gain practical perspective on integration approaches and productivity implications. Enterprise executives with responsibility for technology strategy and risk management will find the session useful for understanding the competitive dynamics emerging around AI-enhanced security capabilities.
Industry Context
The event arrives at a moment when the cybersecurity industry is actively debating how to respond to the rapid advancement of AI capabilities. Traditional security models assumed relatively stable threat landscapes that evolved incrementally. The emergence of frontier AI models challenges this assumption by introducing the possibility of rapid, discontinuous changes in both attack sophistication and defensive capability.
Regulatory and standards bodies are beginning to grapple with these changes, though formal guidance remains limited. Organisations cannot wait for comprehensive regulatory frameworks before making decisions about AI adoption. The practical reality is that security teams must evaluate and integrate AI capabilities while governance structures continue to develop, balancing the risks of premature adoption against the risks of falling behind adversaries who face no such constraints.
This environment places a premium on access to current, credible information about frontier AI capabilities and their security implications. Events that bring together practitioners with direct experience of advanced AI systems offer valuable perspective for organisations working to chart their own paths forward.