Industries

Mobile app defense for workflows attackers can monetize.

RiskFront Lab fits mobile products where client-side abuse can affect accounts, payments, private data, premium access, regulated workflows, or operational trust.

Banking and payments

Users sign in, move money, authorize payments, or manage cards. The app captures session risk, device state, instrumentation attempts, and network integrity signals.

  • Block high-risk sessions before transaction flows.
  • Route severe events to fraud and AppSec queues.
  • Preserve version-specific evidence for review.

Fintech and crypto

Wallets, transfers, identity checks, and account recovery flows depend on a trustworthy app runtime on untrusted devices.

  • Detect repackaged builds and dynamic tooling.
  • Limit risky sessions before account changes.
  • Review device signals alongside backend risk scoring.

Healthcare access

Patient portals, remote care, and claims apps show private information and require careful handling of screen, session, and device signals.

  • Protect sensitive screens from capture where policy allows.
  • Record runtime signals without exposing medical content.
  • Escalate severe device-risk events for internal review.

Retail and marketplaces

Checkout, loyalty, promotions, refunds, and seller tools attract automation, modified clients, and program abuse.

  • Detect automation environments and client tampering.
  • Connect threat events to order and account review.
  • Protect checkout and loyalty flows without changing feature code.

Media and subscription apps

Premium content apps need to defend local logic, entitlement checks, playback routes, and private member screens.

  • Reduce repackaging and logic extraction risk.
  • Apply screen and instrumentation controls to paid views.
  • Watch for modified clients used to bypass access rules.

Gaming and interactive apps

Game economies, competitive state, and paid inventory can be targeted through memory tools, modified packages, and automation.

  • Identify common runtime manipulation patterns.
  • Send suspicious event context to moderation or risk teams.
  • Tune response actions before enforcement reaches players.

Routing model

Every protected workflow needs a clear next step.

Runtime defense only helps when the business knows what should happen after a signal appears. RiskFront Lab turns each use case into a policy route.

Runtime event Captured context Action path
Hooking or debugger activity App version, platform, device state, screen or flow, severity, timestamp. Block high-risk action, record event, and notify AppSec for review.
Rooted or jailbroken device Risk indicator, user flow, policy decision, device family, operating system version. Warn, limit sensitive features, or require a clean device based on business rules.
Network interception signal Certificate condition, proxy indicator, app build, user action, enforcement outcome. Stop the session before sensitive data exchange and route evidence to security review.
Modified package or signature mismatch Package identity, integrity status, release channel, observed runtime action. End app use, preserve event data, and compare against approved release inventory.