Webinar Description
Key Takeaways
- Examines how generative and agentic AI technologies are transforming fraud tactics in 2026
- Introduces lifecycle-based fraud prevention as an alternative to point-in-time security controls
- Addresses synthetic identity fraud, authorised scams and money mule activity
- Designed for CISOs, fraud leaders and product security executives at financial institutions
- Hosted by Transmit Security with contributions from Openform
Introduction
Financial institutions and consumer-facing enterprises are confronting a fraud landscape that has shifted dramatically over the past eighteen months. The webinar “How to Protect Your Customers in One of the Toughest Years of Threat” addresses this reality directly, offering senior security and fraud professionals a practical examination of how artificial intelligence—particularly generative and agentic AI systems—has altered the threat environment. Hosted by Transmit Security, the session moves beyond theoretical discussion to provide demonstration-led guidance on protecting customers across the entire relationship lifecycle rather than at isolated checkpoints.
The timing reflects genuine urgency. Traditional fraud defences built around authentication events and transaction monitoring are proving insufficient against adversaries who now deploy sophisticated AI tools to craft convincing social engineering attacks, generate synthetic identities at scale and automate account takeover sequences. For organisations still relying on reactive, point-in-time controls, the gap between defensive capability and attacker sophistication continues to widen.
About This Event
This virtual webinar brings together expert speakers from Transmit Security and Openform to examine the current state of fraud threats and the strategic responses available to security teams. The format emphasises practical demonstration over abstract discussion, with the organisers explicitly positioning the session as free from promotional exaggeration. Executive-level attendees can expect a focused examination of where existing defences fall short and what operational changes can address those gaps.
The session includes a question-and-answer component, allowing participants to explore specific challenges relevant to their organisations. This interactive element recognises that fraud prevention requirements vary considerably across different business models, customer bases and regulatory environments.
The Changing Nature of AI-Enabled Fraud
Central to the webinar’s subject matter is the recognition that artificial intelligence has fundamentally changed what attackers can accomplish. The discussion specifically references agentic AI and models such as Anthropic’s Mythos as examples of technologies that are reshaping fraud capabilities. Unlike earlier generations of automated attacks, agentic AI systems can pursue complex, multi-step objectives with minimal human oversight, adapting their approach based on the responses they encounter.
This capability has particular implications for social engineering and authorised payment fraud. Where previous scam attempts often failed due to inconsistent messaging or obvious errors, AI-generated communications can maintain coherent, contextually appropriate interactions across extended periods. The result is a higher success rate for attacks that rely on manipulating legitimate customers into authorising fraudulent transactions—a category of loss that traditional transaction monitoring struggles to prevent because the customer themselves initiates the payment.
Synthetic identity fraud presents a related challenge. By combining real and fabricated personal information, attackers create identities that can pass initial verification checks and build legitimate-appearing credit histories before executing fraud. AI tools accelerate both the creation of these synthetic identities and the management of multiple fraudulent accounts simultaneously, increasing the scale at which such schemes can operate.
Lifecycle-Based Fraud Prevention
The webinar advocates for a strategic shift from isolated security checkpoints toward continuous risk assessment throughout the customer relationship. This lifecycle-based approach recognises that fraud indicators often emerge well before the moment of financial loss—during account creation, profile changes, device additions or behavioural shifts that precede fraudulent transactions.
The concept of “left-of-boom” intervention captures this philosophy. Rather than focusing defensive resources primarily on the transaction itself, organisations can identify and address risk signals earlier in the attack chain, potentially preventing fraud before it reaches the point where customer funds are at risk. This requires integrating risk signals across traditionally separate functions—identity verification, authentication, behavioural analytics and transaction monitoring—into a coherent view of customer risk.
For financial institutions, this integration presents both technical and organisational challenges. Many organisations have built their fraud defences incrementally, adding point solutions to address specific attack types without establishing the data flows and decision frameworks necessary for holistic risk assessment. The webinar addresses how organisations can move toward more integrated approaches without requiring complete replacement of existing infrastructure.
Operational Challenges in Modern Fraud Prevention
Beyond the technical dimensions of AI-enabled threats, the session addresses operational realities that complicate fraud prevention efforts. Money mule networks—accounts used to receive and move stolen funds—have become increasingly difficult to identify as attackers use AI to manage larger networks of accounts with more sophisticated behavioural patterns designed to avoid detection.
Account takeover attacks have similarly evolved. Where earlier attacks relied primarily on credential theft, modern approaches combine stolen credentials with device spoofing, session hijacking and social engineering to defeat multi-factor authentication and other protective controls. The webinar examines how organisations can improve detection of these sophisticated takeover attempts without introducing friction that degrades legitimate customer experience.
Operational efficiency represents another significant concern. As attack volumes increase and tactics become more varied, fraud teams face growing workloads that cannot be addressed simply by adding staff. The session explores how automation and improved risk prioritisation can help organisations maintain effective fraud prevention without proportional increases in operational cost.
Who Should Attend
The webinar is designed for senior professionals responsible for fraud prevention, information security and product security at financial institutions and consumer-facing digital enterprises. Specific roles likely to benefit include Chief Information Security Officers, Heads of Fraud, Identity and Authentication Leaders, and Product Security Executives.
The executive-level positioning reflects the strategic nature of the challenges under discussion. While the session includes technical demonstration, the primary focus is on helping leaders understand the changing threat landscape and evaluate strategic options rather than providing implementation-level technical detail. Organisations currently reassessing their fraud prevention strategies in light of AI-driven threats will find the content particularly relevant.
Industry Context
The fraud prevention sector has entered a period of significant transition as the capabilities available to attackers have advanced more rapidly than many defensive technologies. Financial regulators in multiple jurisdictions have increased their focus on authorised payment fraud, placing greater responsibility on financial institutions to prevent losses even when customers are manipulated into initiating transactions themselves.
This regulatory pressure coincides with the proliferation of AI tools that make such manipulation more effective. The combination creates a challenging environment for fraud teams, who must simultaneously address more sophisticated attacks, meet heightened regulatory expectations and maintain customer experience standards that support business growth. The webinar positions itself as a resource for leaders navigating these competing pressures, offering a realistic assessment of current threats alongside practical guidance on defensive strategies.