NowSecure Unveils Data Program to Close Mobile Security's Blind Spot

📊 Key Data
  • 4 million: Real-world mobile app assessments available through the program
  • 3 datasets: Risk Score Data, Behavioral Data, and Risk and Threat Data provided for integration
  • Strategic partners: Includes market leaders in enterprise cyber risk rating, third-party risk management, and mobile EDR
🎯 Expert Consensus

Experts would likely conclude that NowSecure's Agentic AI Data Partner Program is a critical step in addressing the long-standing mobile application visibility gap, providing much-needed intelligence to enhance enterprise security and AI-driven threat detection.

17 days ago
NowSecure Unveils Data Program to Close Mobile Security's Blind Spot

NowSecure Unveils Data Program to Close Mobile Security's Blind Spot

CHICAGO, IL – March 18, 2026 – Mobile application security leader NowSecure today announced the launch of its Agentic AI Data Partner Program (ADP), a significant initiative aimed at arming the broader cybersecurity industry with detailed mobile application risk intelligence. The program makes data from over four million real-world mobile app assessments available to security vendors and AI-driven platforms, targeting what many experts consider one of the largest and most dangerous blind spots in modern enterprise security.

Through the new program, security providers across various sectors—including Mobile Device Management (MDM), Endpoint Detection and Response (EDR), and Threat Intelligence (TI)—can integrate NowSecure’s vast repository of mobile intelligence. This allows them to extend their visibility beyond traditional network and endpoint telemetry directly into the behavior, infrastructure, and risks associated with the mobile applications running on corporate and personal devices.

Addressing a Critical Visibility Gap

For years, enterprises have invested heavily in securing their networks, cloud infrastructure, and traditional endpoints. However, the mobile applications used by employees and customers have remained a largely unobserved attack surface. This “mobile application visibility gap” is a well-recognized challenge, creating a significant area of unmanaged risk. Organizations often lack insight into how these applications handle sensitive data, what third-party components they contain, or with what backend servers they communicate.

This lack of visibility creates opportunities for a range of threats, from simple data leakage to sophisticated attacks like “app collusion,” where multiple seemingly benign applications cooperate to exfiltrate data or escalate privileges. Traditional security tools, often designed for web or desktop environments, are frequently ill-equipped to analyze the unique architecture and behavior of mobile apps. NowSecure’s initiative is designed to fill this void by providing a standardized, large-scale data source that security platforms can use to understand and react to mobile-specific threats.

The intelligence is derived from a unique analysis process that evaluates the compiled mobile application binary—the same version of the app that is distributed through public app stores and executed on a user's device. This approach provides direct insight into how an application actually behaves in a production environment, a crucial distinction from methods that only analyze source code, which may not reveal the full picture of an app's runtime behavior or the risks embedded in third-party software development kits (SDKs).

Fueling the Next Generation of AI Security

The Agentic AI Data Partner Program is strategically positioned to power the increasingly sophisticated AI and machine learning models used in cybersecurity. By providing structured, granular data, NowSecure enables AI-driven platforms to develop a much deeper and more accurate understanding of mobile risk. The program offers three complementary datasets designed for seamless integration:

  • Risk Score Data: This provides an aggregated risk score for mobile applications, allowing security platforms to enrich their existing device and network telemetry. An AI model, for instance, could use this score to automatically prioritize alerts, flagging an otherwise low-level event as critical if it involves a high-risk application.

  • Behavioral Data: This dataset includes detailed application attributes, such as permissions requested, network endpoints contacted, data collection practices, and a full software bill of materials (SBOM). For AI-driven platforms, this data is invaluable for establishing a baseline of normal behavior and detecting anomalies. An EDR system could use this intelligence to identify an app suddenly communicating with a new, suspicious domain or requesting permissions it has never used before, indicating a potential compromise or a malicious update.

  • Risk and Threat Data: This dataset contains detailed findings on vulnerabilities, privacy issues, and data leakage risks. AI-powered threat hunting platforms can correlate this data with their own observations to identify patterns, uncover emerging attack campaigns, and automate the analysis of mobile threats at a scale that would be impossible for human analysts alone.

This infusion of specialized mobile intelligence allows security systems to move beyond simple signature-based detection and perform more advanced, context-aware analysis. For example, an AI governance platform could continuously monitor whether the actual data collection practices of an app, as revealed by the behavioral data, align with its stated privacy policy, flagging potential compliance violations automatically.

Fostering a Collaborative Defense Ecosystem

At its core, the ADP is a strategic move to foster a more collaborative and unified defense against mobile threats. Rather than operating in a silo, NowSecure is positioning itself as a foundational intelligence provider for the entire security ecosystem. The program is designed for a wide range of partners, from EDR and MDM providers to External Attack Surface Management (EASM) and security analytics companies.

“Mobile applications have become one of the largest blind spots in enterprise security,” said NowSecure CEO Alan Snyder in the announcement. “Security teams have strong visibility into networks, endpoints and cloud infrastructure, but they often lack insight into what mobile applications are actually doing on the device. The Agentic AI Data Partner Program allows security platforms and AI systems to incorporate mobile application intelligence alongside their existing telemetry, extending security analysis into a critical and previously under-observed layer of enterprise risk.”

The company states that current partners already include market leaders in enterprise cyber risk rating, third-party risk management, and mobile EDR, demonstrating the program's flexibility. By enabling these diverse platforms to integrate a common, authoritative source of mobile risk intelligence, the initiative promises to elevate the capabilities of the entire industry, creating a stronger collective defense.

NowSecure also emphasized its commitment to data privacy, assuring partners and the public that its ADP dataset is built from its large-scale analysis of publicly available applications. The company maintains a strict separation between its customer testing environments and its intelligence repository, ensuring that no customer-provided data, configurations, or scan results are ever incorporated into partner datasets. This commitment is crucial for building the trust necessary for such a data-sharing ecosystem to thrive. Interested parties are directed to contact NowSecure for more information on how the program can support their platforms.

Product: AI & Software Platforms
Metric: Financial Performance
Sector: AI & Machine Learning
Theme: Agentic AI Machine Learning
Event: Product Launch
UAID: 21714