HabrSeptember 16, 2026🇷🇺Translated from Russian

Inserting Contracts into ChatGPT Risks Major Fines Under Russia's 152-FZ Personal Data Law

A Russian operator registered in the Roskomnadzor personal data registry (number 24-26-055344) has published a detailed breakdown of risks that arise when contracts are pasted into foreign AI chatbots. The author notes that ordinary supply or transportation agreements routinely contain ФИО of signatories, passport data of individual entrepreneurs, INN numbers, phone numbers and emails of managers and drivers.

These elements remain personal data even when the information is already published in the Unified State Register of Legal Entities. Russian regulator practice holds that public availability does not convert the data into “publicly accessible” for the purposes of the law.

Updated administrative fines after 420-FZ

From 30 May 2025 the following penalties under Article 13.11 of the Code of Administrative Offenses apply to legal entities:

  • Part 1 – processing without legal basis or for incompatible purposes: 150–300 thousand rubles
  • Part 1.1 – repeated violation: 300–500 thousand rubles
  • Part 10 – failure to notify Roskomnadzor of processing: 100–300 thousand rubles
  • Part 8 – storage of Russian citizens’ data outside Russia: 1–6 million rubles

Individual entrepreneurs are treated as legal entities for most of these provisions. Million-ruble “leak” fines under parts 12–18 do not apply to a single contract or even several dozen contracts per month.

Cross-border transfer obligations

Any transmission of personal data to an entity located in another country constitutes a cross-border transfer under Article 12 of 152-FZ. Providing access to ChatGPT, Claude, Gemini or DeepSeek is sufficient; no physical file transfer is required. Since 1 March 2023 a separate notification must be filed with Roskomnadzor before such transfers begin. For the United States and the European Union a ten-working-day waiting period applies, during which the regulator may prohibit or restrict the transfer.

In addition, Russian law requires a data-processing agreement with any third party that receives personal data. Standard user agreements of OpenAI, Anthropic or Google do not satisfy this requirement.

Court practice and real incidents

No administrative cases specifically concerning AI chatbots have yet reached public court records. However, on 27 July 2026 the Babushkinsky District Court in Moscow upheld the dismissal of a sales director who uploaded transaction reports and financial data to DeepSeek, ruling that the action amounted to disclosure of trade secrets.

Earlier incidents at Samsung in 2023 demonstrated that source code, meeting transcripts and test sequences were uploaded to ChatGPT within weeks of internal approval, prompting the company to ban external AI tools on corporate devices. A U.S. federal court order in the New York Times v. OpenAI litigation temporarily required preservation of all ChatGPT logs, including deleted conversations, for five months in 2025.

Related articles

AntiMalwarePolicy & Regulation

Ideco NGFW Novum Earns Highest Customer Rating in Quadrant Technologies Import Substitution Study

Ideco NGFW Novum achieved the top customer score of 6.9 out of 10 in the Matrix of Import Substitution 2026: NGFW research conducted by Quadrant Technologies, surpassing the market average of 6.3 and outperforming seven competing Russian solutions. The study evaluated vendors based on specialized revenue alongside 18 criteria covering product quality and functionality, with ratings provided directly by specialists who deploy and operate the firewalls in production environments. Ideco excelled in 11 parameters above seven points, including administration convenience at 7.9, technical support and partner network at 7.6, Zero Trust segmentation at 7.3, and both integration capabilities and core NGFW functionality at 7.2. Despite strong product scores, Ideco remains in the Development quadrant rather than Leadership due to lower profile revenue volume, positioning the company as a prime candidate for advancement with increased sales and large-scale deployments. Complementary testing by Infosystems Jet laboratory showed Ideco NGFW Novum passing 189 of 242 checks under Methodology 3.0 and becoming the sole participant to complete an eight-hour stress test. The broader Russian NGFW market is shifting away from emergency import substitution toward demands for real-world stability, updates, documentation, support, and usability, with product cost cited as a rejection factor by 37.5 percent of respondents.

HabrPolicy & Regulation

Kubernetes Audit Policy Review: Checklist Targets Common Blind Spots in Rules

An experienced Kubernetes administrator shared a detailed review process for audit policies that often remain untouched for years after initial deployment. The 580-line policy was rebuilt using the Kubernetes Threat Matrix from RedGuard as the primary reference. The author highlights recurring issues such as outdated exceptions, missing coverage for new components, and legacy comments that obscure actual security intent. The resulting checklist focuses on principles rather than cluster-specific findings to help other teams perform effective policy audits. Key recommendations address rule completeness, exception management, and periodic full-scale reviews instead of incremental patching. The approach aims to restore audit policies as active security controls rather than accumulated technical debt.

HabrPolicy & Regulation

Avoiding a Leaky Kubernetes Audit Policy: Real-World Configuration Breakdown

Kubernetes Audit Policy is typically configured once during cluster setup and then left untouched for years while accumulating exceptions for new components. Over time the policy stops functioning as a security control and instead becomes an archaeological layer of outdated comments such as "# temporary, TODO remove" that date back three years or more. The author recently reviewed their own 580-line configuration file that had been assembled from multiple sources. Primary reference was the Kubernetes Threat Matrix, which explains why many rules are designed to detect security-relevant actions rather than simply reduce log noise. Examples include targeted monitoring of RBAC modifications and deletion of events. The article emphasizes the need for periodic full reviews instead of incremental patching to maintain effective detection coverage.

AntiMalwarePolicy & Regulation

CryptoPro Develops CryptoPro-Browser with Russian Cryptography for FSB Compliance

CryptoPro is creating its own browser called CryptoPro-Browser as part of the CryptoPro CSP 6.0 cryptographic information protection system. The product will include built-in cryptographic tools, support for the company's plugin, and TLS connections using Russian cryptographic algorithms. The development follows Google's removal of the CryptoPro extension from the Chrome Web Store in February 2025, which left new users without an easy installation method. The project has been coordinated with the FSB of Russia and targets scenarios requiring compliance with Russian information security regulations. CryptoPro plans to incorporate experience from its earlier Chromium-Gost project started in 2017, while also recommending Yandex Browser as an alternative. Analysts estimate the development cost at several tens of millions of rubles, with the main focus on corporate customers needing certificate management and specialized support.