Russia drops 2.27 billion rubles on an AI traffic filter to hunt down VPNs

According to budget papers for 2026, Roskomnadzor integrated a fresh machine learning traffic filtering system directly into its automated internet security infrastructure. This setup costs a cool 2.27 billion rubles and runs on domestic models inside the agency's own hardware stack. It plugs straight into existing deep packet inspection boxes sitting at telecom operators, which traditionally handle site blocking and connection throttling.

An extra 3.99 billion rubles was allocated for upgrading hardware gear alongside another 6.2 billion for general infrastructure. While earlier rumors floated products like Astra AI from Astra Group, official implementation papers kept the exact software vendor a complete mystery, and tech experts noted the system skips massive language models entirely.

Instead of reading packets or checking known blocklists, the algorithm evaluates raw connection metadata on the fly. It crunches packet sizes, session durations, timing intervals, and traffic ratios to spot suspicious behavioral patterns. Technical analysts point out that this predictive model targets the statistical fingerprint of tools like virtual private networks rather than decoding the actual encrypted payload.

Testing benchmarks and error rates remain completely unpublished, leaving network operators to guess how many legitimate corporate connections will accidentally catch stray bullets. Meanwhile, millions of everyday users are left wondering if their encrypted tunnel is about to get flagged just because it transferred data a bit too politely on a Tuesday afternoon.