CO/AI Subscribe
Wednesday · June 3, 2026 · Issue No. 885

What does it do?

  • AI Security
  • Threat Detection
  • Risk Management
  • Data Masking
  • SDK Integration

How is it used?

  • Integrate SDK into app
  • monitor and secure AI models.
  • 1. Integrate SDK w/ AI apps
  • 2. Set guardrails for threats
  • 3. Detect & respond to threats
See more

Who is it good for?

  • Software Engineers
  • AI Application Developers
  • Data Security Professionals
  • Risk Management Specialists
  • Technology Company Executives

Details & Features

  • Made By

    Layerup
  • Released On

    2021-10-24

Layerup is a security platform designed to protect AI applications from emerging threats, particularly those associated with generative AI models. It offers a comprehensive suite of features aimed at ensuring the security and integrity of AI systems, making it an invaluable tool for developers and organizations leveraging AI technologies.

Key features:
- Visibility and Risk Identification: Tools to gain visibility into AI systems and identify potential risks, ensuring prompt addressing of vulnerabilities.
- Guardrails for Custom LLM Threats: Setup of guardrails to protect against threats specific to custom large language models (LLMs).
- Threat Detection and Response: Detection of various threats, such as prompt injection attacks, and response to any detected abuse of LLM APIs.
- Data Masking: Masking of sensitive data to prevent unauthorized access and misuse.
- Low Latency: Performance with a low latency of 150ms, ensuring minimal impact on AI application performance.
- Model Agnostic SDK: Compatibility with any AI model, whether closed-source, fine-tuned open-source, or custom.

How it works:
1. Integrate Layerup's SDK into AI applications.
2. Implement Layerup to monitor and secure AI models.
3. Detect and mitigate potential threats in real-time.
4. Set up guardrails to prevent attacks and mask sensitive data.

Integrations:
Various AI models and platforms

Use of AI:
Layerup leverages generative artificial intelligence to enhance its security features. By understanding the behavior and potential vulnerabilities of generative models, Layerup provides targeted protection against specific threats.

AI foundation model:
The platform is designed to work with a wide range of AI models, including those built on popular AI foundation models and large language models (LLMs).

Target users:
- Organizations utilizing AI technologies
- Developers working with custom LLMs
- Companies fine-tuning open-source models
- Businesses using closed-source AI models
- Industries where data security and integrity are paramount (e.g., finance, healthcare, technology)

How to access:
Layerup is available as an SDK, which can be integrated into web applications and other software environments.

Open Source Status:
Layerup is not open source. It is a proprietary platform designed to offer specialized security features for AI applications.

  • Supported ecosystems
    Unknown
  • What does it do?
    AI Security, Threat Detection, Risk Management, Data Masking, SDK Integration
  • Who is it good for?
    Software Engineers, AI Application Developers, Data Security Professionals, Risk Management Specialists, Technology Company Executives

Alternatives

UpTrain evaluates and improves LLM applications for developers and teams
Momentic automates E2E testing for developers, enabling rapid test creation and execution
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