Appdome adds AI-native threat dynamics

Appdome, which provides protection for mobile businesses, has announced a new AI-native threat-management module, Threat Dynamics, as part of ThreatScope Mobile XDR. XDR stands for extended detection and response.

Threat Dynamics uses AI deep learning to continuously evaluate the likelihood of a successful exploit from more than 400+ attack vectors and calculate a Mobile Risk Index for each business and mobile application, providing dynamic context to the threat data sent to their ThreatScope instance. This allows businesses to see how threats move across the production environment, empowering them to prioritise the attack vectors with the highest potential impact and preempt these threats before they escalate. 

This also allows businesses to continuously benchmark and manage their business- and application-level risk against the baseline of Appdome’s growing monthly data stream of tens of billions of mobile fraud, scam, bot, and cyberthreat events globally. These new capabilities add to ThreatScope Mobile XDR’s existing real-time threat intelligence, inspection, and rapid response capabilities.

“On top of lightning-fast incident response, mobile businesses want to benchmark their mobile defense posture against the industry and preempt mobile threats before they escalate,” said Tom Tovar, co-creator and CEO of Appdome. 

“Mobile businesses don’t want to play ‘whack a mole’ with fraud, scams and cyberattacks. They want AI-driven reconnaissance and benchmarking plus the rapid and automated response of XDR in one platform. They want to operationalise extended threat management across the full lifecycle of the mobile business.”

“Appdome already improves productivity for dev and cybersecurity teams, automating engineering work and reducing security review time,” said Eric Newcomer, CTO at Intellyx. 

“As more attacks target the mobile channel, it is more important than ever to combine fraud and other threat data from the mobile business under a single pane of glass. Appdome’s huge data set and AI-driven defense model give businesses the power to pre-empt fraud and deliver immediate responses to any such threats and attacks.”

“Assume you had a service that received all the fraud, bot, cyberattack, and defense data in the mobile economy,” said Avi Yehuda, CTO of Appdome. 

“Inside this dataset, you can use AI deep learning to continuously analyse, find patterns, and rank billions of threat events in real-time and start to use this data to provide predictive insights and benchmark comparisons that give businesses the power to manage threats as an ongoing part of the business.”

Threat Dynamics also shows how fraud, cyberattacks, and other threats move across mobile apps, releases, installations, devices, users, and networks, Appdome said. With Threat Dynamics, mobile businesses can see which attacks are moving fastest, which mobile applications suffer the most, and which attacks are likely to have the biggest impact on the business. Trends such as infection rate, attack frequency, attack velocity, cohort placement, variance, projected impact, and more are provided for each attack, application, release, device, operating system (OS), geographic source, and other dimensions.

“Mobile threat intelligence has traditionally looked at data in the rear-view mirror or worse, with blinders on,” said Chris Roeckl, Chief Product Officer at Appdome. 

“Mobile businesses can’t wait to address the biggest attacks after the fact, waste time trying to manually evaluate threat data from multiple siloes or overreact to the wrong attack. The purpose of Threat Dynamics is to give businesses the power of AI deep learning to allow businesses to preempt attacks and manage and reduce their mobile risk as an active part of the business.”