What's New in Rankiteo v2: Better Accuracy, Supply Chain Detection, and Robust Retry Logic

We're thrilled to announce the release of Rankiteo v2! This update delivers three key enhancements that directly address real-world challenges in cyber incident monitoring: fewer false positives, new supply chain attack detection, and a smarter retry mechanism to ensure no incident slips through the cracks.

Sharper Detection: Fewer False Positives

False positives remain one of the top frustrations for security teams — too many noisy alerts lead to fatigue and missed real threats.

In v2, we've layered additional intelligence into our GenAI analytics workflow. These new components refine information extraction, impact processing, and scoring by better contextualizing events, cross-verifying signals, and using advanced probabilistic filters.

The outcome is a noticeable drop in false positives while maintaining high sensitivity for legitimate incidents. Internal tests and early user feedback confirm cleaner alert streams, letting teams focus on genuine risks.

Supply Chain Detection: Seeing the Real Entry Point

Cyberattacks increasingly propagate through supply chains, where a compromise in one organization affects downstream partners — but the original entry point isn't always clear.

v2 now automatically identifies and attributes the likely source when an incident impacts multiple entities via the supply chain.

Our system examines incident details, propagation patterns, and supporting intelligence to pinpoint the primary entry point, then displays it prominently in the platform.

We've enhanced the UI with a clear "Supply Chain Source" field in incident views, showing the suspected initial vector along with attribution details and evidence — giving you faster, deeper visibility into third- and fourth-party risks.

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Never Miss an Incident: Intelligent Retry Mode

Real-world cyber news and reports come in all formats, and sometimes our initial parsing pipeline encounters content it can't fully process on the first try.

To prevent any potential incident from being overlooked, we've built a robust in-house retry algorithm.

When the primary GenAI + NLP path fails to extract or structure the data successfully, the system automatically triggers alternative parsing strategies — exploring multiple processing routes, adjusting parameters, and leveraging complementary models until the incident is properly captured or confidently ruled out.

This retry loop runs seamlessly in the background, ensuring comprehensive coverage without manual intervention. It's a safety net designed specifically for the messy reality of open-source cyber intelligence.

Built for the Real World

These improvements stem from your feedback and our ongoing analysis of threat trends. As incidents become more interconnected and data sources more varied, reliability and precision matter more than ever.