Сайт HiveTrace Red
Automated testing and audit for LLM applications
HiveTrace Red is an application for comprehensive attack resilience testing of LLM models and GenAI systems. It simulates real attack scenarios and identifies vulnerabilities before the system goes to production.
Why LLM systems need attack testing
In 2024-2025, attacks on AI moved from experiments into systemic cyber threats
- Prompt injection and jailbreak attacks
- System instruction leaks
- Disclosure of confidential data
- Generation of malicious content
- Attacks on agentic systems

* According to research by the Association of FinTech (2025), Darktrace (2025), Lakera (2024), and the ITMO AI Security Lab
At the same time:
- Built-in model protection mechanisms, or guardrails, focus on ethics rather than corporate risks
- Traditional security tools do not monitor model behavior
- Red Teaming is becoming a mandatory part of the SSDLC for AI applications
What HiveTrace Red does
HiveTrace Red automatically simulates attacker behavior and checks how resilient the model is to attacks.
Which attacks HiveTrace Red simulates
Prompt Injection
Attempts to change model behavior through hidden instructions.
Jailbreak attacks
Attacks that provoke the generation of illegal, harmful, or sensitive content by bypassing the model's built-in protection mechanisms.
System prompt extraction
Attempts to obtain the model's internal instructions.
Data Exfiltration
Extraction of personal and confidential data.
DoS scenarios
Attempts to overload an LLM model through a complex request.
HiveTrace Red includes a localized attack base that accounts for Russian-language scenarios often missed by foreign tools.
How HiveTrace Red works
Which risks HiveTrace Red helps identify
- Personal data leaks
- Disclosure of internal instructions
- Model behavior manipulation
- Corporate policy violations
Product video demonstration
Testing results
The report shows:
- How many attacks succeeded and which ones
- Examples of dangerous responses
- Resilience dynamics during repeated testing
This makes it possible to:
- Objectively assess the security level
- Make architecture decisions
- Strengthen security policies
- Confirm compliance with regulatory requirements

Integration and delivery options
HiveTrace Red:
- connects via API
- works with local and cloud models
- supports any platform
- integrates into CI/CD (in Q2 2026)
Available:
- open source version (download from GitHub)
- enterprise version with extended functionality
Feature comparison
| Features | Open-Source | Enterprise |
|---|---|---|
| Web interface (RU, EN) | – | + |
| REST API for automation | – | + |
| Vendor technical support | – | + |
| Run and result history storage | – | + |
| Intermediate result saving | – | + |
| Attack library: 90+ techniques | + | + |
| Dataset for personal data extraction | – | + |
| Dataset for internal infrastructure information extraction | – | + |
| Dataset for extracting keys, secrets, and passwords | – | + |
| Hallucination checking dataset | – | + |
| Reputation attack dataset | – | + |
When HiveTrace Red is used
Before launching AI applications
Testing corporate chatbots and assistants before they go to production.
When deploying AI agents
Checking systems with access to external services and tools.
As part of regulatory requirements
Regular resilience testing of AI systems.
As part of DevSecOps / MLSecOps
Integrating security checks into the development cycle.

Partner program
Start earning from AI system testing as early as 2026.
HiveTrace Red Enterprise is a ready-to-use tool and methodology for AI pentesting. We provide not just a product, but a new revenue stream: license + training + report templates + support at every stage, from presales to project completion.

You get
AI pentests will become a mandatory service for companies adopting AI. The question is not whether there will be demand, but who will be first to occupy the niche.
🚀 Join the HiveTrace Red partner program!
Submit an application, and we will contact you and help launch your first projects this quarter.




