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

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

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

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

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