A draft Russian government plan proposed using artificial intelligence to detect and block virtual private network services with an accuracy rate of up to 95%, the newspaper Kommersant reported on October 16. The measure appeared in a national strategy document for deploying AI technologies through 2030, and it specifically envisioned machine-learning systems scanning the characteristics of 70% of the VPN services authorities intend to restrict.
Russia's Digital Development Ministry has said the provision does not appear in the plan's current draft, though the episode reveals how seriously the state is examining machine-assisted censorship tools. For millions of Russians who rely on VPNs to reach independent news, social platforms, and foreign services blocked domestically, the prospect of smarter detection raises practical questions - including, for those weighing whether to keep or drop a subscription amid shifting restrictions, how to cancel without losing access to tools they may still need before switching providers. The stakes extend beyond convenience: VPNs have become a primary means of preserving access to unfiltered information in an increasingly restricted digital environment.
How the Detection Technology Would Work
Russia already deploys what Kommersant called "intelligent algorithms" to analyze internet traffic, though officials do not classify these as true AI. The distinction matters because machine-learning models can be trained to recognize subtler patterns than rule-based filters. According to an industry source cited by Kommersant, an AI system could examine packet size and timing, session duration, the ratio of incoming to outgoing traffic, hosting providers, and even neighboring IP addresses to infer the presence of VPN infrastructure - without ever decrypting the traffic itself. This approach, known broadly as traffic fingerprinting, does not break encryption; it infers behavior from metadata patterns that differ from typical browsing.
The ministry also plans to expand its traffic-filtering infrastructure 2.5-fold, reaching a capacity of 954 terabits per second by 2030. That scale reflects the ambition behind the system known as TSPU - technical systems for countering threats - already installed across telecom operator networks nationwide.
The Risk of False Positives
Industry sources warned that introducing AI into this pipeline could increase errors rather than reduce them. One source told Kommersant the current false-positive rate sits between 5% and 6%; another cautioned that early-stage AI models could misidentify legitimate traffic at a significantly higher rate. In practice, this means ordinary encrypted traffic - cloud backups, secure banking sessions, corporate remote-access tools - could be flagged and throttled or blocked alongside genuine VPN connections. Building and maintaining such a system would also require large-scale telemetry storage, computing clusters for model training, and infrastructure capable of pushing updated models out to filtering nodes across the country.
Part of a Broader Push for Control
The VPN proposal surfaced alongside a separate draft order requiring smartphones on Russia's future 5G networks to support Kuznyechik, an encryption algorithm developed by the FSB, starting March 1, 2032. Because Kuznyechik falls outside international 3GPP standards and must be embedded directly into modem chipsets, compliance could force manufacturers including Apple, Samsung, and Chinese smartphone makers to produce hardware variants specific to the Russian market. Taken together, the two initiatives point toward a long-term strategy of asserting technical sovereignty over mobile communications and shrinking the space for unmonitored encrypted traffic - a trajectory with consequences for privacy advocates and ordinary users alike.
