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Mobile Threat Detection beyond the sandbox.
Uncover otherwise undetectable threats using the same access level used to hide them.
Offline
Automated
Kernel-level Visibility
DFFIND

Mobile security forensics for government agencies

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Exploit Powered
Proprietary techniques deliver full system privilege

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Controlled Deployment
Designed for secure, on-premises environments with full custody of data

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Advanced Threat Detection
Detect sophisticated threats that evade conventional approaches where they hide

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When zero-days attack, zero-days detect

Symmetric Access

Use attacker techniques to detect attacker presence

Operate at the same system privilege level where sophisticated threats execute, beyond the constraints of the OS sandbox, enabling detection otherwise inaccessible to defenders.

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Forensic Depth

When attackers have root, defenders require root

Detect and validate artifacts conventional methods miss, even those intentionally hidden or erased, by analyzing disk, memory, and live system behavior.

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Scalable Forensic Workbench

DFFIND acts as a force multiplier for security teams

Repeatable, scalable privileged access.

Automated detection paired with advanced manual introspection abilities reduces weeks of manual effort to minutes.

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DFFIND Detects Beyond the Sandbox

Contact us for a consultation on DFFIND deployment.
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Privileged Access, Operationalized

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Air-Gapped Architecture

Data custody enforced by design.
DFFIND operates strictly offline and on-premises, ensuring sensitive data never leaves secure environments.

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Targeting Advanced Persistent Threats

Built for the threats that hide.
Designed for sophisticated adversaries targeting their persistence mechanisms, evasion strategies, and low-level system manipulation

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Sustainable Superiority

Built by security researchers to serve defenders.
DFFIND is backed by ongoing research that adapts to changes in modern mobile operating systems.

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Residual Trace Analysis

Recover traces adversaries attempt to erase.
Engineered to surface artifacts that remain after attempts to erase activity, even when traces are intentionally minimized.

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Dataflow Security Group

Consent-based Detection, informed by exploitation research.

Dataflow Forensics operates as part of the Dataflow Security Group, alongside its sister organization Dataflow Security.

Within the group, Dataflow Security focuses on advanced vulnerability research across modern operating systems and platforms. Dataflow Forensics translates those discoveries into operational capabilities used by government agencies on unlocked devices.

One team advances vulnerability research. The other operationalizes those discoveries into unsandboxed detection capabilities deployed in the field.

Maximum Visibility. Minimum Intrusion.

Detecting compromise requires complete access. Protecting the device owner's privacy is built into the platform.

Automated, policy-driven redaction ensures agencies can verify device integrity while minimizing exposure to non-relevant personal data.
PII remains masked unless explicitly required.

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Events

Mobile Security & Forensics Summit

Discussing the evolving landscape of nation-state mobile threats and the challenges of detecting....

NOV 16, 2026
Washington DC
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Events

Mobile Security & Forensics Summit

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Events

Mobile Security & Forensics Summit

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