September Updates: Brand Threat Intelligence & New Snapshots Look

Brand Intelligence

Brand-Specific Rules & Detection Sources

Threat detection sources and legitimacy rules now operate at the brand level instead of organization-wide. This enables fine-grained automation, approvals, and more accurate enforcement logic per brand.

Filter Threats by Brand

Brand data is now displayed directly on the Threats page, laying the groundwork for brand-specific filtering, analytics, and reporting.

Rule Freshness and Re-validation

Rules can now include staleness timers, triggering re-validation after a configurable period. This helps ensure legitimacy decisions remain current and auditable.

Threat Snapshots

Redesigned Snapshot Layout

Threat snapshot reports now follow an updated format that highlights key threat insights in a more scannable visual layout.

Threat Breakdown Analytics

Each snapshot includes structured analytics showing which scams targeted the customer across which platforms.

Case Study Evidence

Snapshots now include selected threat examples, complete with screenshots and narrative context for high-risk scams.

App Updates and FAQ Section

Each snapshot includes recent app product changelog items and responses to common customer questions or industry changes.

Social Detection and Web3 Enhancements

Automated Twitter Takedown Flow

Twitter detections now automatically trigger takedown requests, reducing response time and manual workload.

Redirect Intelligence from Blocklist

Redirects from previously blocked URLs are now tracked and analyzed to surface repeat offenders and network-level indicators.

Canary Token Deployment Improvements

Canary tokens are easier to generate and integrate self-serve in our admin dashboard, improving customer adoption and proactive scam tracking.