TechTouch Asia

By Shayan Mohanty, Chief AI and Data Officer, Thoughtworks In today's technological landscape, organisations are grappling with a fundamental question: how do we truly measure the success of our AI investments? Leaders understand that defining and evaluating AI's impact isn't static, but dynamic, demanding continuous adaptation and strategic foresight.  Without a clear definition of what 'good' looks like, be it enhanced customer service, streamlined operations, or more accurate forecasts, any evaluation risks becoming arbitrary. At a strategic level, AI success can be categorised across several key dimensions:  - Performance and accuracy – ensuring models consistently meet defined benchmarks like precision and recall;  - Adaptability to real-world scenarios – assessing how AI systems perform in dynamic, unpredictable environments;  - Ethical behaviour and bias mitigation – proactively addressing potential biases to uphold fairness and inclusivity; and critically,...

Appdome, which protects mobile businesses, has new dynamic defence plugins to detect and defend against agentic AI malware and unauthorised AI assistants controlling Android and iOS devices and applications.  The new Detect Agentic AI Malware plugins allow mobile brands and enterprises to know when agentic AI applications interact with their mobile applications and use the data to prevent sensitive data leaks and block unvetted on-device AI agents from accessing transaction, account, or enterprise data and services. According to Appdome, agentic AI assistants—such as Apple Siri, Google Gemini, Microsoft Copilot, OpenAI ChatGPT , and others—are increasingly available to mobile users in consumer and enterprise environments. However, the same capabilities that make AI assistants useful to consumers and employees can also be used by agentic AI malware and Trojans. Appdome pointed out that currently, whatever a good AI assistant can do, a bad AI assistant can do. Both can acces...