Every day, the average American makes or receives 8 mobile phone calls, multiply that across 300 million users, and the result is a genuine data explosion. For a telecom major operating at that scale, protecting consumer data isn’t optional, and telecom systems are prone to a wide range of threats that demand a truly holistic security posture. Our client needed a robust alert mechanism capable of detecting those threats before they became problems, they turned to Ascendion to make it happen by building a dynamic threat detection and automated alert mechanism powered by AI, using real-time data to identify threats as they emerged.
Ascendion used AI to develop a fingerprint-based algorithm for threat detection, drawing on deep machine learning expertise to enhance the telecom provider’s AI capabilities from the ground up.
To make that AI genuinely fast to deploy and scale, Ascendion employed techniques like Low Rank Adaptation (LoRA), enabling faster and more efficient model training. The result was a platform built for agility and scalability, giving the telecom provider a stronger, more adaptable way to secure its data over time.
Tech Stack:
Delivered 30% faster AI model development, enabling swifter product launches and deployments.
Improved overall system efficiency by 25% through reduced processing times.
Cut resource consumption by 20%, leading to meaningful cost reductions.
Accelerated time to market while strengthening telecom-grade threat detection at scale.
