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Loading...By Dario Betti, CEO, Mobile Ecosystem Forum
Mythos is a highly advanced AI model focused on software analysis and cybersecurity, and it is causing a fair amount of concern. The worry is that advanced AI systems are becoming extremely fast at finding software flaws, and if AI can expose and exploit vulnerabilities faster than they can be fixed by humans, then trust in messaging, identity, and transactions becomes fragile.
These systems were designed to function under known threat models. Vulnerabilities that previously required significant manual effort to identify can now be surfaced by automated systems analyzing entire infrastructure layers in parallel.
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Trust can no longer be assumed – it must be continuously verified.
The key change is speed. The future mobile ecosystem will likely run on real-time, machine-driven trust assurance.
A serious threat
AI systems such as Mythos are being assessed for their ability to analyze large-scale environments and identify chains of vulnerability across multiple systems simultaneously. During discussions at the IMF–World Bank Spring Meetings in Washington, C.S. Venkatakrishnan (chief executive of Barclays) said “Mythos is a serious threat… more will follow.” The comment reflects growing concern among financial institutions and regulators that cyber risk is shifting from isolated incidents to systemic exposure across interconnected infrastructure.
The concern is not limited to individual security flaws. It is about how different systems interact. Legacy infrastructure, cloud services, and third-party platforms are increasingly connected through APIs and authentication systems. Each layer may function as intended on its own. Risk emerges when those layers are analyzed together.
Financial institutions are particularly sensitive to this as their infrastructure is deeply layered and heavily dependent on integration between systems. Regulators—including the Bank of England—have warned that advanced AI could increase cyber risk by exposing structural dependencies that are not visible in traditional ways.
The issue now is how quickly vulnerabilities can be discovered and understood at system level.
CPaaS, Messaging, and Identity as a single chain
In the mobile ecosystem, trust operates through three interconnected layers: CPaaS platforms, messaging systems, and identity infrastructure.
CPaaS providers sit at the center of digital communication flows. They manage authentication, notifications, and transactional messaging across enterprise and consumer services. These systems depend on APIs that connect telecom networks, cloud infrastructure, and enterprise applications. When those APIs are analyzed at scale, weaknesses can emerge not in individual services, but in how services interact.
Messaging systems form a key layer in mobile infrastructure. SMS remains widely used for authentication and one-time passcodes. RCS and OTT messaging platforms are increasingly used for richer business and consumer communications.
Identity systems form the base layer. Mobile numbers, SIM credentials, and device signals are used across sectors to verify users and authorize transactions. If those signals can be correlated or inferred across systems, identity becomes less stable as a single point of verification.
These layers are structurally dependent:
- CPaaS enables messaging
- Messaging carries identity verification
- Identity enables access across systems built above it.
The concern now being raised in industry discussions is that AI systems may be capable of analyzing all three layers together rather than separately.
Security moving toward continuous verification
The response is already shifting toward continuous verification models.
Traditional security approaches rely on static checks. These include passwords, one-time codes, and fixed authentication rules. They assume system behavior is stable and that threats can be defined in advance. That assumption is being reassessed.
Security is moving toward continuous operation. Each interaction can be evaluated in real time using a combination of identity signals, behavioral patterns, device context, and network information. Trust will no longer be treated as a fixed condition but as a constantly updated assessment.
CPaaS providers are central to this shift. They operate inside live communication flows and are increasingly expected to monitor API behavior in real time rather than respond after anomalies are detected. This changes their role from message delivery infrastructure to continuous monitoring systems for communication integrity.
Messaging platforms will have to adapt to the same pressure. Fraud detection systems will move away from reliance on known attack signatures and toward identification of emerging behavioral patterns within live traffic.
Identity systems are also being restructured. No single signal is sufficient to verify a user. Multiple signals must be combined and reassessed continuously, particularly in environments where device and network behavior can change rapidly.
At the same time, there is growing recognition across the industry that large-scale distributed systems cannot be made fully immune to compromise. The objective is not complete prevention of risk. It is containment: rapid detection, isolation of affected components, and controlled impact across connected systems.
That requires changes in system design, including segmentation of services, reduction of dependency chains, and faster recovery mechanisms when failures occur.
Structural exposure, not isolated failure
The Mythos development does not alter the role of trust in mobile infrastructure. Trust remains the foundation of communication and identity systems.
What it highlights is the level of structural exposure that can now be identified through AI-driven analysis.
CPaaS platforms, messaging systems, and identity frameworks form a connected chain. When one layer is analyzed at scale, the structure of the entire chain becomes visible.
That visibility changes how risk is understood. It is no longer confined to individual vulnerabilities. It extends to the relationships between systems.
The mobile ecosystem will operate in an environment where trust must be continuously validated across interconnected systems that are being analyzed in real time.
Dario Betti is CEO of MEF (Mobile Ecosystem Forum) a global trade body established in 2000 and headquartered in the UK with members across the world. As the voice of the mobile ecosystem, it focuses on cross-industry best practices, anti-fraud and monetization. The Forum, which celebrates its 25th anniversary in 2025, provides its members with global and cross-sector platforms for networking, collaboration and advancing industry solutions.
The views and opinions expressed in this blog post or content are those of the authors or the interviewees and do not necessarily reflect the official policy or position of any other agency, organization, employer, or company.
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