"The Frontier AI Threat: Closing the Mobile Gap in Your Exposure Management Strategy"

#1756128: "The Frontier AI Threat: Closing the Mobile Gap in Your Exposure Management Strategy"

Description:	The rapid adoption of mobile assistants and large AI models is driving enterprise efficiency, but also unprecedented risk. The modern adversary is no longer just a human behind a keyboard; it’s a frontier AI model operating at machine speed. With 78% of knowledge workers using personal AI tools for professional tasks and 52% of all generative AI usage occurring on mobile devices, enterprises face a massive structural blind spot. Traditional security controls and basic, free solutions leave organizations exposed. Legacy tools cannot detect if users are installing apps that quietly are sharing sensitive datacommunicate with unauthorized foreign AI models, nor can they identify when multiple frontier AI exploits are chained together for an autonomous attack by a frontier AI model. As frontier models dramatically accelerate the discovery and weaponization of software vulnerabilities, defending the mobile endpoint has shifted from a "nice-to-have" to an absolute "must-have." Join Lookout’s Chief Technology Officer, David Richardson, to explore how the mobile attack surface has evolved in the AI era. We will discuss how to protect the modern workforce by addressing the three core pillars of mobile AI security, heavily focusing on continuous exposure management and governance. Key takeaways from this session include: - Completing the CTEM Puzzle: Seamlessly incorporate mobile exploitable vulnerabilities into your Continuous Threat Exposure Management (CTEM) strategy. Learn to continuously identify hidden dependency flaws within trusted apps before frontier AI models exploit them, gaining a unified view of organizational exposure. - Governing Shadow AI Usage: Turn invisible "Shadow AI" into a governed domain. Gain actionable strategies to monitor direct app-to-cloud data flows, track unsanctioned AI activity, and enforce critical data protection policies. - Defending Against AI-Powered Deception: With 62% of organizations experiencing deepfake incidents recently, learn how to neutralize machine-speed attacks like linkless smishing and voice cloning across trusted mobile channels.
More info:	https://dr-resources.darkreading.com/free/w_look24/

Description:

The rapid adoption of mobile assistants and large AI models is driving enterprise efficiency, but also unprecedented risk. The modern adversary is no longer just a human behind a keyboard; it’s a frontier AI model operating at machine speed. With 78% of knowledge workers using personal AI tools for professional tasks and 52% of all generative AI usage occurring on mobile devices, enterprises face a massive structural blind spot.

Traditional security controls and basic, free solutions leave organizations exposed. Legacy tools cannot detect if users are installing apps that quietly are sharing sensitive datacommunicate with unauthorized foreign AI models, nor can they identify when multiple frontier AI exploits are chained together for an autonomous attack by a frontier AI model. As frontier models dramatically accelerate the discovery and weaponization of software vulnerabilities, defending the mobile endpoint has shifted from a "nice-to-have" to an absolute "must-have."

Join Lookout’s Chief Technology Officer, David Richardson, to explore how the mobile attack surface has evolved in the AI era. We will discuss how to protect the modern workforce by addressing the three core pillars of mobile AI security, heavily focusing on continuous exposure management and governance.

Key takeaways from this session include:

- Completing the CTEM Puzzle: Seamlessly incorporate mobile exploitable vulnerabilities into your Continuous Threat Exposure Management (CTEM) strategy. Learn to continuously identify hidden dependency flaws within trusted apps before frontier AI models exploit them, gaining a unified view of organizational exposure.

- Governing Shadow AI Usage: Turn invisible "Shadow AI" into a governed domain. Gain actionable strategies to monitor direct app-to-cloud data flows, track unsanctioned AI activity, and enforce critical data protection policies.

- Defending Against AI-Powered Deception: With 62% of organizations experiencing deepfake incidents recently, learn how to neutralize machine-speed attacks like linkless smishing and voice cloning across trusted mobile channels.

More info:

https://dr-resources.darkreading.com/free/w_look24/

Date added	Oct. 2, 2026, 2:44 p.m.
Source	Dark Reading
Subjects	AI/ML - Artificial Intelligence / Machine Learning / GenAI / Artificial General Intelligence - AGI - Various PodCasts / Webcast / Webinar / eSummit / Virtual Event etc. Security Management/Strategic Security/ROI/ROSI - CISO and Higher Level
Venue	Nov. 11, 2026, midnight - Nov. 11, 2026, midnight