Webinar Description
Key Takeaways
- Examines how artificial intelligence is reshaping both offensive and defensive strategies in mobile application security
- Addresses AI-driven attack methods including phishing, fraud, impersonation and reverse engineering
- Explores defensive AI applications for threat detection, fraud prevention and incident response
- Discusses implications for authentication, biometrics and runtime app protection
- Relevant for security professionals across banking, payments, healthcare, gaming and public sector industries
Introduction
“The AI Arms Race in Mobile App Security: How Attackers and Defenders Are Both Winning” is a virtual webinar hosted by Promon and Keysight that examines the dual role of artificial intelligence in mobile application security. Designed for security professionals, product managers, compliance officers and technical decision-makers, the session addresses how AI capabilities are simultaneously empowering threat actors and strengthening defensive measures. As mobile applications become increasingly central to financial services, healthcare, retail and government operations, understanding this evolving threat landscape has become essential for organisations seeking to protect sensitive user data and maintain regulatory compliance.
About This Event
This live panel discussion brings together experts from Promon, a provider of mobile app security solutions, and Keysight, which specialises in security evaluation and testing. The webinar format allows for an in-depth exploration of current AI-enabled threats alongside practical defensive strategies. Rather than presenting a single vendor perspective, the session aims to provide balanced insight into both offensive and defensive applications of AI in the mobile security domain.
AI-Driven Attack Methods and Emerging Threat Vectors
The proliferation of AI tools has lowered the barrier to entry for sophisticated mobile attacks. Threat actors now leverage machine learning to automate phishing campaigns, generate convincing impersonation content and accelerate reverse engineering of mobile applications. These capabilities enable attackers to identify vulnerabilities faster and craft more targeted exploits than traditional methods allowed.
The webinar addresses the challenge of distinguishing credible AI-enabled threats from overstated concerns. Security teams often struggle to prioritise resources when faced with a constant stream of new attack techniques, some of which represent genuine operational risks while others remain largely theoretical. The panel discussion aims to help attendees separate substantive threats from industry noise.
Defensive Applications of AI in Mobile Security
While AI presents new challenges, it also offers significant defensive advantages. Security teams are deploying machine learning models for anomaly detection, behavioural analysis and automated incident response. These systems can identify suspicious patterns across large volumes of mobile traffic that would be impossible to monitor manually.
The session explores how AI enhances fraud prevention mechanisms and strengthens identity verification processes. Runtime app defences increasingly incorporate AI-driven analysis to detect tampering attempts and malicious code injection in real time. However, the effectiveness of these defensive measures depends on proper implementation and ongoing refinement as attack techniques evolve.
Trust, Explainability and Regulatory Considerations
The integration of AI into security systems raises important questions about trust and accountability. When AI models make decisions about authentication or fraud detection, organisations must be able to explain those decisions to regulators, auditors and affected users. This requirement for explainability creates tension with the inherent complexity of many machine learning approaches.
Regulatory frameworks are beginning to address AI-specific concerns in security contexts. Organisations deploying AI-enabled authentication and biometric systems face increasing scrutiny regarding assurance and certification. The webinar examines how security teams can prepare for these evolving compliance requirements while maintaining effective protection.
Who Should Attend
The session is particularly relevant for professionals working in mobile payments, digital identity, authentication systems and application security. Security researchers seeking to understand current AI-enabled threat techniques will benefit from the offensive perspective, while product managers and technical leads can gain insight into defensive implementation strategies. Compliance officers and certification specialists will find value in the discussion of regulatory developments and assurance requirements. The content applies across multiple sectors including banking, payments, gaming, streaming, retail, public sector, healthcare and automotive industries where mobile applications handle sensitive operations.