About Protect AI

Protect AI specializes in AI security solutions that utilize advanced threat detection algorithms to identify and mitigate vulnerabilities in machine learning systems. The company addresses the risk of adversarial attacks and data breaches, ensuring the integrity and reliability of AI applications across various industries.

```xml <problem> AI systems are vulnerable to adversarial attacks, data breaches, and other security threats that can compromise their integrity and reliability. Traditional security measures are often insufficient to protect against these unique AI-specific vulnerabilities, leaving organizations exposed to significant risks. </problem> <solution> Protect AI provides a comprehensive AI security platform that enables organizations to manage security risks and defend against AI-specific threats throughout the AI lifecycle. The platform offers end-to-end visibility, remediation, and governance capabilities, empowering application security and machine learning teams to implement a security-first approach to AI. Protect AI's suite of products, including Guardian, Recon, and Layer, secures AI applications from model selection and testing to runtime monitoring. The platform leverages threat research and a community of security researchers to stay ahead of emerging AI threats. </solution> <features> - **Guardian:** Scans AI models for vulnerabilities, detects deserialization attacks and architectural backdoors, and enforces security policies. - **Recon:** Red teams AI applications to identify vulnerabilities and provides insights for model selection and evaluation of AI defenses. - **Layer:** Provides runtime security for AI applications, offering visibility and control to stop AI threats instantly. - **LLM Guard:** Detects, redacts, and sanitizes LLM prompts and responses for real-time safety, security, and compliance. - **Model Scanning:** Scans various model formats (PyTorch, TensorFlow, ONNX, Keras, Pickle, GGUF, Safetensors, etc.) for deserialization attacks, architectural backdoors, and runtime threats. - **Hugging Face Integration:** Continuously scans public models on Hugging Face to identify emerging model risks. - **Local Scanning:** Enables scanning of models from any source, including Artifactory, SageMaker Model Registry, and Git repositories, within CI/CD pipelines. - **Attack Library:** Provides an extensive library of known attacks on AI systems for red teaming and vulnerability assessments. - **eBPF Monitoring:** Auto-discovers AI applications and monitors their runtime behavior using eBPF technology. </features> <target_audience> The primary target audience includes application security teams, machine learning teams, and AI developers who need to secure their AI systems and applications from unique vulnerabilities and threats. </target_audience> ```

What does Protect AI do?

Where is Protect AI located?

Protect AI is based in Seattle, United States.

When was Protect AI founded?

Protect AI was founded in 2022.

How much funding has Protect AI raised?

Protect AI has raised 129270000.

Location

Seattle, United States

Founded

2022

Funding

129270000

Employees

93 employees

Major Investors

Evolution Equity Partners

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Protect AI

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Executive Summary

protectai.com 10K+

Crunchbase

Founded 2022 – Seattle, United States

Funding

Estimated Funding

$100M+

Major Investors

Evolution Equity Partners

Team (75+)

No team information available.

Company Description

Problem

AI systems are vulnerable to adversarial attacks, data breaches, and other security threats that can compromise their integrity and reliability. Traditional security measures are often insufficient to protect against these unique AI-specific vulnerabilities, leaving organizations exposed to significant risks.

Solution

Protect AI provides a comprehensive AI security platform that enables organizations to manage security risks and defend against AI-specific threats throughout the AI lifecycle. The platform offers end-to-end visibility, remediation, and governance capabilities, empowering application security and machine learning teams to implement a security-first approach to AI. Protect AI's suite of products, including Guardian, Recon, and Layer, secures AI applications from model selection and testing to runtime monitoring. The platform leverages threat research and a community of security researchers to stay ahead of emerging AI threats.

Features

Guardian: Scans AI models for vulnerabilities, detects deserialization attacks and architectural backdoors, and enforces security policies.

Recon: Red teams AI applications to identify vulnerabilities and provides insights for model selection and evaluation of AI defenses.

Layer: Provides runtime security for AI applications, offering visibility and control to stop AI threats instantly.

LLM Guard: Detects, redacts, and sanitizes LLM prompts and responses for real-time safety, security, and compliance.

Model Scanning: Scans various model formats (PyTorch, TensorFlow, ONNX, Keras, Pickle, GGUF, Safetensors, etc.) for deserialization attacks, architectural backdoors, and runtime threats.

Hugging Face Integration: Continuously scans public models on Hugging Face to identify emerging model risks.

Local Scanning: Enables scanning of models from any source, including Artifactory, SageMaker Model Registry, and Git repositories, within CI/CD pipelines.

Attack Library: Provides an extensive library of known attacks on AI systems for red teaming and vulnerability assessments.

eBPF Monitoring: Auto-discovers AI applications and monitors their runtime behavior using eBPF technology.

Target Audience

The primary target audience includes application security teams, machine learning teams, and AI developers who need to secure their AI systems and applications from unique vulnerabilities and threats.