Data leaks
Automatically detects and masks personal and confidential data in model prompts and responses
Runtime AI Security
An immune system for GenAI applications An immune system for GenAI applications
Comprehensive enterprise AI security: data protection, behavior control, and attack prevention
Runs on-premise or in the cloud
Partners
HiveTrace detects vulnerabilities in LLM systems and prevents unwanted behavior
AI adoption creates a new layer of risks, and HiveTrace is designed to address it
Prompt injections
Detects and blocks attempts to bypass AI restrictions and force the model to disclose protected information or perform unwanted actions in real time
Malicious content
Checks model responses and prevents discriminatory language, stereotypes, and other unwanted content
Agentic system vulnerabilities
Controls agent actions to prevent damage
How it works
An employee may accidentally send personal data, trade secrets, or internal documents to a public LLM. Data can also be exposed from context, a RAG database, or a system prompt as a result of an attack. When foreign AI services are used, transferring personal data may involve localization and cross-border transfer requirements under Russian Federal Law 152-FZ.
Risks
Sending personal data to an external AI service may violate the company's established data processing rules and the requirements of 152-FZ. Cross-border transfer is subject to separate requirements under Article 12 of the personal data law, including notification of Roskomnadzor in cases required by law. A leak also creates risks of administrative liability, trade secret compromise, and reputational damage.
How HiveTrace helps
DataClean detects and masks personal data and other sensitive information before a request is sent to the LLM. HiveTrace can be deployed on-premise so protected data is processed inside the company's controlled perimeter, while only sanitized text is sent to an external model. Policies let teams define which information categories may be sent to each AI service.
Why conventional security tools don't protect AI
-
WAF and NGFW
Do not understand the meaning of text or hidden instructions
-
DLP
Cannot see conversation context or LLM reasoning
-
IAM
Controls human access, but not model behavior
-
Built-in LLM guardrails
Are easily bypassed. Do not protect against business risks
AI adoption creates a new layer of risks — and HiveTrace is designed to address it.
Use cases
How HiveTrace helps businesses
HiveTrace AI Firewall
A scanning and filtering system to prevent attacks and malicious LLM behavior
-
Data leak protection
The DataClean module removes sensitive information from data at runtime and offline: names, national insurance numbers, passport and credit card numbers, email addresses, secrets, company details, medical diagnoses, and more.
-
Built-in protection against violations of Russian criminal law
HiveTrace checks model responses and prevents harmful content involving weapons, prohibited substances, incitement to violence, discrimination, and more.
-
Guardrails out of the box
Prevents prompt attacks and jailbreaks. Detects attacks aimed at changing model behavior and stealing sensitive information and system instructions.
-
Custom policies
Flexible configuration for specific needs: prompt topic restrictions, response tone, prohibited words and phrases. Policies can be configured with natural-language prompts.
- Coming soon
Agentic system monitoring
HiveTrace controls agentic AI systems with access to tools and APIs by tracking external service calls, action sequences, and agent decisions to prevent unauthorized operations.
Data leak protection
Secure AI access
Data leak protection when using public AI services
A HiveTrace-based solution enables employees to use ChatGPT and other public AI services for work tasks while protecting against personal data leaks and exposure of confidential company information.
-
Centralized employee portal
A single corporate interface provides access to AI services. HiveTrace monitors all prompts and responses, keeping them under the information security team’s control.
-
Real-time data leak control
The system analyzes every prompt and model response, automatically detecting and masking personal data, trade secrets, and other sensitive information.
-
Flexible policies for business context
Administrators define sensitive data types: personal data, finances, company details, internal instructions, and medical information. Policies require no code.
HiveTrace Red
A comprehensive LLM resilience assessment system through automated attacks
-
Multilingual attack support
A library of 80+ attack techniques in Russian and English, with automatic translation into other languages. Resilience testing against localized and international attack scenarios.
-
Flexible red-teaming architecture
The modular architecture supports SOTA models for attack generation and response evaluation. It works with local LLMs and API-based models and supports attack combinations for multi-step scenarios.
-
Reproducibility and result control
HiveTrace Red stores every prompt, response, score, and test metadata record, ensuring reproducible red teaming and simplifying report preparation.
AI systems audit
Security audit of your AI systems
We test how your AI application behaves against a real attacker. We model adversarial actions, combine automated and manual testing, and identify vulnerabilities that standard Q&A checks do not reveal.
We identify
- Successful prompt-injection and jailbreak attacks
- Model behavior deviating from its intended logic
- Generation of content that violates legal requirements
- Exposure to adaptive, multi-step attacks
Project artifacts
- Assessment of the actual risk level
- Report with confirmed attack types
- Checklist of measures to improve LLM protection
After the audit, you receive a clear assessment of the security level, examples of successful attacks, and concrete recommendations that can be implemented immediately.
Why companies choose HiveTrace
Ahead of the market
We were among the first in Russia to systematically research attacks on LLMs and agentic systems.
OWASP contributors
We contribute to the development of GenAI and Agentic AI security standards.
R&D with academia
We work closely with ITMO University and MIPT, involve master's students in research, and supervise the AI Security Laboratory.
Russian-language and local attacks
Foreign solutions miss them. We test and block them.
Red Teaming + Runtime Monitoring
The full cycle: from vulnerability detection to production monitoring.
The most comprehensive threat coverage
HiveTrace addresses 7 of the OWASP Top 10 for LLM threats.
Frequently asked questions
HiveTrace works with local models and models accessed via API. It supports major open and proprietary LLMs and also lets you connect your own model.