Appdome has introduced Threat-Memory, a new stateful and agentic threat-intelligence engine designed to significantly strengthen mobile application security. The launch marks a major upgrade to the company’s existing Threat-Events threat-signaling system and introduces a more intelligent and persistent way for mobile apps to detect, analyze, and respond to security threats. As cybercriminals increasingly target mobile ecosystems, organizations require advanced mechanisms that can track and understand attack patterns over time rather than relying on isolated threat signals.
Threat-Memory enables mobile applications protected by Appdome to maintain local threat histories directly on the device. Additionally, the system applies Agentic Severity Scoring, which uses AI models to dynamically rank and evaluate each detected threat. At the same time, the engine verifies threat intelligence with Appdome’s backend infrastructure and allows organizations to enforce policies dynamically. This approach also enables remote configuration and over-the-air defense updates, ensuring applications remain protected against evolving attack techniques without requiring constant manual updates.
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“Scoring risk without exposing the source data and detecting threats without dynamic scoring has been the model that vendors used until today,” said Tom Tovar, Co-Creator & CEO of Appdome. “We’re stepping forward to provide both on-device threat histories and AI-generated scoring in one solution to identify attack sequences, improve decisioning, and let brands build durable threat and risk profiles, all while providing more flexible enforcement and policy control.”
Traditionally, many mobile security solutions including RASP and anti-fraud tools operate in a stateless manner. As a result, they detect threats only at specific moments without retaining information about past attacks. Because these tools lack persistent threat data, they often fail to detect repeated attacks, multi-stage exploit attempts, or environmental manipulation tactics used by sophisticated adversaries. Moreover, they provide limited insight into the severity or reliability of detected threats.
Threat-Memory addresses these limitations by creating an intelligent threat state within each mobile application. The system stores source threat data locally on the device and enriches it using Agentic Severity Scoring, a collection of AI models that continuously evaluate threat levels during runtime. Consequently, mobile apps gain a deeper understanding of security risks and can make more informed decisions during critical user interactions.
This threat intelligence can be securely accessed from within any Appdome-protected application. Depending on configuration settings, threat data can be linked to the device, the application instance, installation events, user sessions, or even specific user accounts. Furthermore, the threat state and historical data synchronize with Appdome’s backend to ensure consistency and persistence even across app upgrades, reinstallations, operating system updates, or active attack conditions.
By leveraging Appdome’s extensive detection capabilities spanning more than 400 behavioral, environmental, and identity-based threat signals the system generates comprehensive threat and risk profiles across the entire attack lifecycle. These detections include fraud attempts, deepfake threats, account takeover (ATO) attacks, geo-spoofing, malware infections, and advanced manipulation techniques.
“By combining a local threat repository (or store) with agentic and platform-validated threat history and risk intelligence directly inside mobile applications, we eliminate guesswork in defeating mobile security and fraud risks,” said Kai Kenan, VP of Identity & Reputation Solutions at Appdome. “As a substrate to defeat dedicated attackers and fraudsters, there’s no comparison to Threat Memory.”
The company describes Threat-Memory as a digital brain for mobile risk management. It aggregates threat intelligence locally on the device while synchronizing key data with the Appdome platform. At the same time, the system receives secure configuration updates and intelligence feeds from the platform, enabling mobile brands to continuously refine their security posture.
With this capability, organizations can retrieve real-time threat states throughout the mobile application lifecycle. For example, apps can evaluate risk during onboarding, login, authentication, financial transactions, password resets, or account recovery workflows. In addition, companies can analyze threat histories by device, application release, installation instance, or user identity while preparing for future integration with Appdome’s digital reputation and risk APIs.
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“Threat Memory allows us to provide an interactive, flexible and informed defense posture in each application,” said Avi Yehuda, Co-Creator & CTO at Appdome. “Now, Appdome can not only tell you ‘when’ and ‘what’ attack happened, but how many times it happened, if it was different each time and whether it occurred with other attack patterns, and the severity of that stand-alone or combined attack sequence.”
Another key advantage of Threat-Memory lies in its performance-optimized architecture. The engine operates discreetly in the background of consumer-grade mobile applications, collecting hundreds of security signals without impacting user experience. Mobile apps can then query this intelligence locally at critical moments such as during authentication or financial transactions without relying on external API calls.
This design eliminates latency caused by network round-trips, reduces interception risks, and minimizes backend processing overhead. As a result, applications can maintain smooth user experiences while benefiting from advanced security analytics.
“Threat-Memory improves critical on-device protection capabilities,” said Eric Newcomer, principal analyst at Intellyx. “A device-based threat history enables local defense against repeated attacks and multi-step attacks. Together with AI, local history data creates actionable intelligence to stop fraud, prevent ATOs, and defeat social engineering.”
Overall, the launch of Threat-Memory reflects a broader shift toward intelligent, stateful security frameworks in the mobile ecosystem. By combining persistent threat histories, AI-driven scoring, and real-time intelligence synchronization, Appdome aims to provide organizations with a more proactive and adaptive approach to mobile application protection in an increasingly complex threat landscape.
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