Innovate and grow with GenAI, safely and securely
Ensure your LLMs stay secure and compliant in real-time. Stay safe and in line with regulations, providing a reliable defence for your LLM setup.
LLMs are vulnerable to privacy breaches and compliance violations
Conventional data leakage prevention (DLP) solutions fail short, putting your reputation and compliance status at risk.

Sensitive data leakage
LLMs can inadvertently collect and store sensitive information during user interactions. Unintended sharing might pose a security risk if not handled properly, as it could expose the user’s private data.

Compliance risks
LLMs may generate content that is non-compliant with official regulations or a company’s internal policies, such as making absolute claims about a drug’s effectiveness, which can result in legal and reputational damage.

Prompt injection attacks
LLMs are susceptible to prompt injection attacks, where attackers manipulate the model’s output by crafting specific prompts. This can lead to unauthorized access, data leakage, or other security breaches
Enter Generiq - Deploy GenAI safely and responsibly
Utilize our solutions to meet the rapidly-evolving GenAI landscape.

New age DLP
Conventional DLP solutions struggle in generative AI environments due to their inability to effectively manage unstructured data and nuanced factors. Our advanced technology allows for accurate detection and anonymization of sensitive data, tailored for language model responses.
Validation of LLM responses
Validate AI generated material (text or images) against regional or local regulations and company-wide policies. Quickly intercept, review, and validate LLM inputs and outputs at scale, without sacrificing the user experience.


Addressing prompt injections
Detect and prevent malicious users from attempting to override the intended behaviour of your LLM-based app. Demosntrate that you have the necessary security tools needed, in case of an audit.
Enable secure AI adoption, minimizing LLM risks
Build to meet the needs of the modern LLM stack.

Integrated into your LLM stack
Easily integrate into your existing LLM stack using our API, Python library or Docker image. Sitting between your interface and application layers, it will validate LLM inputs and outputs at scale.

LLM-agnostic
Compatible with both commercial and open-source LLMs, demonstrating equal effectiveness. Our models are trained on synthetic data from different LLMs to make sure they work just as effectively.

Optimised for speed and cost
Our validation system uses a mixture of proprietary models and specialised CPU-running small language models, to be very fast and cost-effective.
How are we different?
Most solutions dealing with LLM risks are developer-focused, general-purpose systems aiming to cover a wide range of use cases. In contrast, we function as last-mile providers, addressing industry-specific challenges to deliver maximum business value.




Last-mile providers
We focus on what’s important for your industry, e.g. for healthcare, this means safeguarding protected health information (PHI).
Custom policies
Each business is unique, so we enable you to enforce your own custom internal policies and rules to your GenAI.
Frequently asked questions
Our default option is on premises, as privacy is a top priority. However, we also provide a cloud-based service.
If your GenAI app falls into a high-risk category based on your industry, specific obligations apply. Incorporating our solution into your compliance strategy is advisable. Feel free to book a meeting to help you navigate this. A great, easy-read resource to start with, is this one.
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