Russia Drops AI VPN Blocking Plan From National Roadmap
A draft proposal to use machine learning to block 95% of virtual private networks was removed from the latest version of the national strategy.
Key points
- The Digital Development Ministry removed the AI VPN blocking measure from the current draft of the national AI plan.
- Roskomnadzor retains a separate budget for machine-learning filtering infrastructure, which will double next year.
- Experts warn the proposed AI system would likely generate high false-positive rates for legitimate corporate and cloud traffic.
Russia’s Digital Development Ministry excluded a proposal to use artificial intelligence for blocking virtual private networks from the current draft of its national AI strategy through 2030. The measure had previously appeared in an earlier version of the document, aiming to significantly increase the effectiveness of internet censorship tools.
According to a report by Kommersant, the initial draft proposed using AI to analyze the characteristics of 70% of all VPN services currently blocked in Russia. The ministry’s drafters estimated that this machine-learning approach would lift the overall effectiveness of VPN blocking to 95%. This figure represented an effectiveness target rather than an accuracy metric, a distinction that earlier reporting overlooked.
Policy Shifts and Technical Scope
The Digital Development Ministry stated that the current version of the plan contains no such information, according to a translation by Meduza. A source familiar with the discussions told Kommersant that various agencies pitched measures for the plan, some of which may never be implemented. The source noted that existing traffic-analysis algorithms already in service are considered intelligent analysis but do not qualify as AI under the plan’s definitions.
An AI layer would function differently from current methods. Instead of matching known signatures, the models would weigh packet sizes, timing, session length, and the balance of inbound to outbound traffic. The system would flag likely VPN servers based on indirect clues, such as node behavior, host location, and neighboring IP addresses.
Regulatory Continuity and User Impact
Despite the removal of the AI clause from the national roadmap, Roskomnadzor maintains its own machine-learning filtering project. This initiative is budgeted separately from the national AI plan and remains a crucial component of the country’s blocking infrastructure. Funding for Russia’s blocking infrastructure is set to double next year, indicating continued investment in censorship capabilities.
The removal of the specific AI proposal should not reassure the estimated 57 million Russians who rely on circumvention tools. Experts consulted on the matter expect that an AI-driven filter would catch significant amounts of legitimate traffic. Corporate VPNs, cloud services, and voice traffic are identified as the categories most exposed to false positives if such a system were deployed.
What should you do?
Security professionals should monitor regulatory changes in jurisdictions with strict internet censorship laws. Organizations operating in or serving users in Russia should review their connectivity strategies. It is advisable to diversify circumvention methods and avoid reliance on single technical solutions. Watch for announcements regarding Roskomnadzor’s separate filtering projects, which remain active and funded.
What to do and how to stay safe: Russia
- Review network traffic patterns for anomalies that might indicate new filtering mechanisms, such as changes in packet timing or session handling.
- Diversify connectivity options by using multiple types of circumvention tools rather than relying on a single VPN provider or protocol.
- Monitor official statements from Roskomnadzor and the Digital Development Ministry for updates on separate filtering infrastructure budgets.
- Educate users on the potential for false positives in AI-driven filtering, which may impact legitimate corporate and cloud traffic.
Step-by-step guide: Prompt Injection Warning Signs: How to Spot AI Manipulation
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
Did Russia cancel all AI-based internet blocking efforts?
No, the specific measure was removed from the national AI plan, but Roskomnadzor has a separate, funded machine-learning filtering project.
What was the 95% figure in the draft plan?
It was an effectiveness target for blocking VPNs, not an accuracy rate, and it applied to analyzing 70% of blocked services.
Will legitimate traffic be affected by these systems?
Experts expect that AI filters would raise false positives, particularly affecting corporate VPN, cloud, and voice traffic.
