Secure Your Edge in 2025
Cyber threats are evolving and so should your strategy. Explore Frost & Sullivan’s latest outlook on the Top 10 Growth Opportunities in Cybersecurity for 2025. From XDR (Extended Detection and Response) and AI-powered protection to identity access and software supply chain security, this report highlights where the market is heading and how you can lead.
Access the full analysis now and turn disruption into opportunity.
Fraud has escalated into becoming a constant threat for digital consumers and businesses as bad actors can exploit every weak link of the vast digital landscape. The continuous, voluminous, and sophisticated fraud attacks make it extremely difficult for enterprises to tackle them with one-time installations or point solutions. The sheer scale and stealth of attacks now means that even ordinary consumers are aware, and often worried, about becoming the next victim.
What’s driving this surge?
Hyper-connected fraudsters have embraced automation, AI, and “fraud-as-a-service” to exploit every digital vulnerability. They are patient, persistent, and always a step ahead in finding cracks in identity systems. Recent fraud trends are especially worrying bad actors are leveraging deepfakes, and orchestrating targeted, coordinated attacks across industries. The fraud detection and prevention (FDP) ecosystem, comprising of enterprises, regulators, and FDP vendors is responding to these challenges by harnessing AI and machine learning (ML) to power next-generation FDP solutions.
Frost & Sullivan’s latest webinar — Technology Strategies in Global Cybersecurity: Unlocking Next-Gen Fraud Prevention with AI & ML — spotlighted how leading cybersecurity experts are responding to this new reality by adopting explainable AI, graph analytics, and continuous behavioral intelligence to fight fraud in real time. From identifying deepfakes and fraud-as-a-service to preventing onboarding, login, and transactional frauds across sectors, the discussion showcased what it truly takes to be proactive when it comes to combating fraud.
Joining the conversation were the following leading voices in the cybersecurity space:
- Eric Graham, VP of Product Management at Akamai
- Husnain Bajwa, Senior VP of Product, Risk Solutions at Seon
- Deepali Sathe, Growth Expert and Senior Industry Analyst at Frost & Sullivan
Key Perspectives from the Webinar:
Fraud is no longer an isolated risk, it’s a universal threat
Fraud has escalated from being a specialized security issue to a widespread business risk affecting every industry. It now permeates casual conversations, reflecting its growing impact on consumers and enterprises alike. Attackers are strategic, often remaining hidden within systems and using psychological tactics to maximize their impact.
Cybercriminals are leveraging AI too and they are getting ahead
Cybercriminals are adopting AI to scale and increase effectiveness of their attacks. From fuzzing and limit testing to bot-driven abuse, they are testing system boundaries and exploiting gaps faster than ever. This shift demands that organizations respond with equally agile, proactive, and intelligent defences.
User experience and fraud prevention must work hand in hand
Organizations can no longer treat fraud prevention and customer experience as opposing goals. Today’s solutions must support configurable friction, progressive profiling, and risk-based authentication. The key is aligning fraud, security, and marketing teams around a shared goal while optimizing both protection and ease of access.
Responsible AI demands privacy, transparency, and compliance by design
With data privacy laws tightening globally, organizations need to adopt “compliance by design” approaches. This means minimizing data collection, avoiding bias, ensuring explainability in AI decisions, and adhering to evolving regulatory frameworks.
Agentic AI Is the next disruption
Agentic AI poses a new set of challenges for fraud prevention. As these agents begin making decisions and conducting transactions independently, businesses would need to rethink identity, intent verification, and security boundaries. This shift signals a transformative era in fraud detection where adaptability will be key.
Want to dive deeper into transformational fraud prevention strategies?
Watch the full webinar by clicking here
Write to us at hello@frost.com to unlock your organization’s full potential in building intelligent, AI-driven fraud prevention strategies that balance security, compliance, and user experience
