This week at RSA, Appdome won several awards, including Best AI Platform for Cyber Resilience. I want to take this opportunity to explain why this one award is a significant achievement, not just for us, but for every mobile brand and business.
In this blog, we’ll explore what this recognition means and how AI-driven platforms can revolutionize the way enterprises and mobile brands maintain cyber resilience.
Cyber Resilience in the Mobile Ecosystem
Cyber resilience means an organization’s ability to anticipate, withstand, recover from, and adapt to cyber threats, including fraud, account takeover (ATO) attacks, and brute force bot attacks. Resilience is not a one-time goal but a continuous process that ensures the mobile business, its applications, networks, and users keep growing in the face of accelerating changes and threats.
In a mobile business, cyber resilience is measured against constant, internal, and external change. Internally, resilience is challenged by the rapid pace of mobile app releases, frequent platform updates, a vast range of devices, various development environments, and extremely high performance and usability expectations. Externally, resilience is tested by the relative immaturity of defenses protecting the mobile channel and an explosion of new cyber threats, including fraud, ATOs, and bot attacks targeting mobile apps, transactions, networks, and users.
How AI Ensures Cyber Resilience in the Mobile Business
Here are the top three reasons why leveraging an AI platform for cyber resilience is key to the future success of any mobile business.
1. Integration with the AI-Powered Mobile DevOps Pipeline
AI-powered tools are quickly becoming a central part of the mobile DevOps pipeline. Agentic AI, systems that autonomously perform tasks and make decisions based on Large Language Models (LLMs), are revolutionizing app development. These systems automate tasks such as code generation, performance optimization, and crash analysis. As Agentic-AI plays a larger role in coding mobile apps, mobile app security and anti-fraud SDKs – because of their reliance on manual coding – are quickly becoming obsolete.
Just as AI is used to code and enhance app functionality, other AI tools must build and enhance defense functionality to protect user data, transactions, and account integrity. By aligning AI-powered app development with AI-powered security and anti-fraud development, mobile businesses create a seamless, adaptive pipeline where innovation and protection grow hand in hand, continuously defending the mobile business against increasingly sophisticated threats.
2. Pre-emptive Threat Detection and Agentic AI-Mitigation
For a mobile business, detecting and mitigating threats is crucial. Traditional systems rely on fixed alerts and human intervention to address an attack. In contrast, an AI platform can identify a relevant threat—such as zero-day exploits, malware attacks, deepfake ATO attempts, or unusual user behavior—without human definition or intervention and before the threat escalates. In addition, an AI platform can communicate to its manager that the threat exists and get direction on how to mitigate the threat as if it were a human teammate.
AI platforms consume large threat data sets and combine machine learning algorithms and agentic AI agents to spot the attacks and attack patterns that matter most to each business. These systems can instantly calculate millions of combinatorial probabilities of attack in each industry or geographic market, eliminating the noise in earlier systems. Likewise, Agentic-AI agents can proactively or preemptively update security, anti-fraud, or bot defenses in the moment to react quickly and minimize damage.
3. Adapting Defenses to the Changing Mobile Economy
The mobile economy is constantly changing and innovating. New operating systems, coding languages, app frameworks, DevOps tools, distribution channels, and shifting user behaviors all present challenges for fixed security or anti-fraud SDKs. Over time, static defense options can become stale (leaving large portions of the application code unprotected), brittle (causing crashes and instability), or obsolete (without updates to prevent new attacks). These gaps leave mobile businesses vulnerable.
AI platforms have the advantage of continuously adapting to change. They analyze data from both the development pipeline and the production environment to automatically adjust mobile defenses. Because AI learns from every interaction, it can anticipate and address new vulnerabilities or attack techniques as they emerge, ensuring that security measures keep pace with the rapid changes in mobile business. Whether it’s adjusting to a new mobile OS update or learning from new attack vectors, AI systems can evolve alongside the mobile ecosystem, ensuring that defenses remain effective and in line with business needs.
Cyber Resilience Requires an AI Platform, Not Just AI
Mobile businesses and cyber attackers alike are adopting AI faster than ever. The mobile app economy has reached a point where automation alone will no longer be sufficient to secure the future of any mobile business, let alone an individual application. Likewise, using AI episodically—as a point solution to assist human defenders—may work in some cases, but it’s no longer enough to future-proof your defense strategy.
Using AI to achieve cyber resilience requires a platform approach. AI needs context, memory, and interoperability with DevOps, DevSecOps, and SecOps systems. A platform can feed AI models the right pipeline and production data, allowing these models to use their extensive knowledge of the threat landscape, defense options, and application architecture to analyze, remember, recommend, and act on behalf of operational functions in the business. AI platforms can also provide operational control and reporting under a single pane of glass to the humans who oversee AI-driven responses to cyber threats as the mobile landscape evolves.
Conclusion
Winning the Best AI Platform for Cyber Resilience award at RSAC 2025 is a huge honor. But beyond recognizing Appdome’s achievements, it signals the growing importance of AI platforms in securing the mobile business ecosystem. As cyber threats continue to evolve, the right AI-powered security and anti-fraud solutions must go beyond simple detection and prevention. They must drive business efficiency, enhance response times, and ensure business continuity—even in the face of constantly changing threats.
If you want to learn more about how Appdome can help increase your business’s cyber resilience, feel free to reach out at info@appdome.com.
