Webinar Description
Key Takeaways
- Examines how artificial intelligence is transforming cyberattack methodologies, including AI-powered malware and autonomous attack agents
- Addresses the operational risks of shadow AI and uncontrolled AI proliferation within enterprise environments
- Features real-world case studies demonstrating AI-enabled attack patterns and defensive responses
- Designed for security professionals, CISOs, security architects and enterprise IT leaders
- Offers ISC2 CPE credits for qualifying attendees
Introduction
SentinelOne is hosting a virtual webinar examining the intersection of artificial intelligence and enterprise cybersecurity, with particular focus on how AI capabilities are reshaping both offensive and defensive operations. The session targets security professionals and IT leaders grappling with a threat landscape where adversaries increasingly leverage machine learning and large language models to accelerate and automate attacks. As organisations expand their own AI deployments, the webinar addresses the parallel challenge of securing these systems while defending against AI-augmented threats operating at speeds that exceed traditional human response capabilities.
About This Event
This educational webinar brings together enterprise security practitioners to examine the current state of AI-driven cyber threats and the defensive technologies emerging to counter them. Led by a Principal Evangelist from SentinelOne, the session combines threat intelligence analysis with practical case studies drawn from real-world incidents. The event is structured to provide both strategic context for senior decision-makers and technical depth for security architects and analysts working on the front lines of enterprise defence.
ISC2 members attending the webinar can earn continuing professional education credits, reflecting the session’s alignment with professional development requirements for certified security practitioners. This partnership underscores the educational focus of the programme and its relevance to ongoing competency development in the cybersecurity field.
The Emergence of Machine-Speed Threats
The webinar centres on a fundamental shift in the threat landscape: the emergence of cyberattacks that operate at machine speed rather than human speed. Traditional attack methodologies, while sophisticated, typically required human operators to make decisions at key stages of the kill chain. AI-powered threats remove this constraint, enabling malware that adapts in real time, reconnaissance operations assisted by large language models, and autonomous agents capable of executing multi-stage attacks without human intervention.
This acceleration creates asymmetric challenges for security teams. When threats can identify vulnerabilities, craft exploits and execute attacks within seconds, defensive operations built around human analysis and manual response become fundamentally inadequate. The session explores how this dynamic is forcing organisations to reconsider their security architectures and response protocols.
AI-Powered Attack Methodologies
The programme examines several categories of AI-enabled threats that have emerged as adversaries adopt machine learning capabilities. AI-powered malware represents a significant evolution from traditional malicious code, with the ability to modify behaviour based on environmental conditions, evade detection systems and optimise attack paths dynamically. Unlike conventional malware that follows predetermined scripts, these variants can make contextual decisions that increase their effectiveness against specific targets.
Large language model-assisted reconnaissance has similarly transformed the early stages of attack campaigns. Threat actors now employ LLMs to analyse publicly available information, identify potential vulnerabilities in target organisations and craft highly convincing social engineering content at scale. The efficiency gains are substantial, allowing adversaries to conduct reconnaissance operations that would previously have required significant human resources.
Perhaps most concerning is the development of autonomous attack agents—AI systems capable of conducting end-to-end attack operations with minimal human oversight. These agents can chain together multiple techniques, adapt to defensive responses and persist in target environments while continuously optimising their approach. The webinar presents case studies illustrating how these capabilities manifest in actual incidents.
Shadow AI and Enterprise Risk
Beyond external threats, the session addresses the internal risks created by uncontrolled AI adoption within organisations. Shadow AI—the deployment of AI tools and services without formal security review or governance—has become a significant concern as employees and business units adopt generative AI capabilities to improve productivity. This proliferation creates attack surfaces that security teams may not even be aware of, while potentially exposing sensitive data to third-party AI services.
The concept of AI sprawl extends this concern to authorised deployments that lack adequate security controls. As organisations rush to implement AI capabilities across business functions, the cumulative risk exposure can grow faster than security programmes can adapt. The webinar examines frameworks for understanding and managing these risks while enabling legitimate AI adoption.
Behavioural AI in Defensive Operations
The session explores how behavioural AI technologies are being deployed to counter machine-speed threats. Unlike signature-based detection systems that rely on known threat indicators, behavioural approaches analyse patterns of activity to identify malicious behaviour regardless of the specific techniques employed. This capability becomes essential when facing AI-generated threats that can modify their signatures dynamically to evade traditional detection.
SentinelOne’s Autonomous Security Intelligence platform serves as a reference implementation throughout the webinar, with the session examining how behavioural AI enables rapid threat detection and response. A case study involving the LiteLLM zero-day vulnerability demonstrates response times measured in seconds rather than minutes or hours—a capability that becomes critical when facing threats operating at comparable speeds.
Who Should Attend
The webinar is designed for security professionals operating at various levels within enterprise organisations. Chief Information Security Officers and security executives will find strategic value in understanding how AI is reshaping the threat landscape and the implications for security investment and architecture decisions. Security architects can examine how autonomous defence capabilities integrate with existing security stacks, while analysts and operations personnel will benefit from the technical case studies and threat intelligence presented.
Organisations with advanced digital operations face particular relevance, as their expanded attack surfaces and reliance on interconnected systems create additional exposure to AI-powered threats. However, the fundamental dynamics discussed apply broadly across enterprise environments as AI capabilities become increasingly accessible to threat actors of varying sophistication levels.
The Evolving Security Paradigm
The webinar ultimately addresses a paradigm shift in enterprise security: the recognition that defending against AI-driven threats requires equally intelligent and autonomous defensive capabilities. Human-centric security operations, while still essential for strategic decision-making and complex investigations, cannot match the speed required to counter threats that operate in milliseconds. This reality is driving investment in security platforms that can detect, analyse and respond to threats autonomously while providing human operators with the context needed for oversight and continuous improvement.
For security professionals navigating this transition, the session offers both a framework for understanding current threats and practical insights into defensive technologies designed to operate at machine speed.