Webinar Description
Key Takeaways
- Webinar addressing the security challenges posed by unauthorised AI tools operating within enterprise environments
- Focus on Zero Trust strategies for identifying, monitoring and controlling AI activity
- Discussion of how threat actors exploit AI-enabled tools to accelerate attacks and bypass conventional security measures
- Relevant for security professionals, compliance officers and IT leaders managing AI adoption risks
- Hosted by ThreatLocker on 14 July 2026
Introduction
ThreatLocker is hosting a webinar on 14 July 2026 examining the security implications of shadow AI—the use of artificial intelligence tools within organisations without formal approval or oversight from IT and security teams. The session targets security professionals, compliance officers and technology leaders grappling with the rapid proliferation of AI applications across enterprise environments. As generative AI tools become increasingly accessible, organisations face mounting pressure to balance innovation with the protection of sensitive data and adherence to regulatory requirements.
About This Event
The webinar will be led by ThreatLocker CEO Danny Jenkins and Chief Product Officer Rob Allen. Their discussion centres on practical approaches organisations can adopt to regain visibility over AI usage while maintaining the flexibility employees need to leverage emerging technologies productively. The session aims to equip attendees with actionable strategies rather than theoretical frameworks, focusing on real-world implementation of controls that do not impede legitimate business operations.
The Shadow AI Challenge
Shadow AI represents a significant evolution of the shadow IT problem that has challenged security teams for decades. Where previous generations of unsanctioned technology typically involved file-sharing services or personal devices, AI tools introduce fundamentally different risk profiles. Employees may input sensitive corporate data into external AI services without understanding the data retention policies of those platforms, potentially exposing intellectual property, customer information or strategic business intelligence to third parties.
The webinar addresses how unmonitored AI tools create security gaps that traditional perimeter defences and endpoint protection solutions were not designed to detect. Unlike conventional software that operates within predictable parameters, AI applications can process and transmit data in ways that evade standard monitoring approaches. This creates blind spots that security teams must address through updated detection and control mechanisms.
Zero Trust as a Framework for AI Governance
Central to the webinar’s approach is the application of Zero Trust principles to AI governance. Zero Trust architecture operates on the assumption that no user, device or application should be automatically trusted, regardless of whether it operates inside or outside the corporate network. When applied to AI tools, this philosophy requires organisations to explicitly identify which applications are permitted, monitor their behaviour continuously and enforce granular controls over what data they can access.
This approach differs from blanket prohibitions on AI usage, which often prove counterproductive. Employees who find their preferred tools blocked frequently seek workarounds, driving AI usage further underground and exacerbating visibility problems. A Zero Trust model instead acknowledges that AI adoption is inevitable and focuses on creating controlled pathways for approved tools while maintaining the ability to detect and respond to unsanctioned activity.
AI-Enabled Threats and Evolving Attack Techniques
The session will also examine the offensive applications of artificial intelligence. Threat actors have begun incorporating AI capabilities into their toolkits, using machine learning to automate reconnaissance, craft more convincing phishing campaigns and identify vulnerabilities at speeds that outpace manual analysis. These AI-augmented attacks can evade traditional signature-based defences that rely on recognising known malicious patterns.
Understanding how attackers leverage AI helps defenders anticipate emerging threat vectors and adjust their security postures accordingly. The webinar positions this knowledge as essential context for organisations developing comprehensive AI governance strategies that address both internal usage risks and external threat evolution.
Compliance Implications of Uncontrolled AI Usage
Regulatory frameworks increasingly hold organisations accountable for how data is processed and where it travels, regardless of whether that processing occurs through sanctioned channels. When employees use external AI services to analyse customer data or generate content based on proprietary information, organisations may inadvertently violate data protection regulations, contractual obligations or industry-specific compliance requirements.
The webinar addresses why visibility into AI usage has become a compliance imperative rather than merely a security preference. Organisations subject to regulations governing data residency, processing limitations or third-party risk management must demonstrate control over all pathways through which sensitive information flows—including AI applications that employees may adopt without formal procurement processes.
Who Should Attend
This webinar is designed for information security professionals responsible for endpoint protection and threat detection, compliance officers managing regulatory obligations related to data handling, and IT leaders tasked with enabling productivity while maintaining security standards. The content is particularly relevant for organisations in regulated industries where data governance requirements are stringent, as well as any enterprise experiencing rapid AI adoption among its workforce.
Attendees can expect to leave with a clearer understanding of the specific risks shadow AI introduces, along with practical strategies for implementing controls that balance security requirements with the operational benefits AI tools can deliver when properly managed.