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Description
Enkrypt AI is a specialized platform designed for enterprise-level security, compliance, and governance in the realm of artificial intelligence, focusing particularly on safeguarding large language models, AI agents, multimodal systems, and machine-critical processes. Catering to industries such as finance, healthcare, insurance, and government, Enkrypt AI empowers organizations to innovate quickly while ensuring safety and maintaining a competitive edge.
The platform addresses the entire spectrum of AI security through several key features:
Guardrails: With ultra-low latency (under 50 milliseconds), policy-driven guardrails effectively mitigate risks associated with prompt injections, unauthorized data exposure, hazardous outputs, and non-compliant behavior of agents in real-time.
Red Teaming: The system implements policy-driven multimodal attack simulations for LLMs and AI agents prior to their deployment in order to identify vulnerabilities.
MCP Security: The MCP Scan Hub and Secure MCP Gateway offer comprehensive protection for MCP servers, tools, and agent toolchains throughout the entire process.
Compliance: Ongoing monitoring ensures adherence to standards such as NIST AI RMF, OWASP LLM Top 10, the EU AI Act, HIPAA, and FINRA, with certifications including ISO 27001 and SOC 2 Type II. Recognized as a Gartner Cool Vendor for 2025, Enkrypt AI sets itself apart in the industry.
Description
Transitioning from development to production, as well as from traditional data engineering to artificial intelligence, requires securing the various environments, pipelines, tools, and open-source components integral to your data and AI supply chain. It is essential to continuously identify, prevent, and rectify security and compliance vulnerabilities in AI before they reach production. In addition, monitoring AI applications in real-time allows for the detection and mitigation of adversarial AI attacks while enforcing specific application guardrails. Noma integrates smoothly across your data and AI supply chain and applications, providing a detailed map of all data pipelines, notebooks, MLOps tools, open-source AI elements, and both first- and third-party models along with datasets, thereby automatically generating a thorough AI/ML bill of materials (BOM). Additionally, Noma constantly identifies and offers actionable solutions for security issues, including misconfigurations, AI-related vulnerabilities, and non-compliant training data usage throughout your data and AI supply chain. This proactive approach enables organizations to enhance their AI security posture effectively, ensuring that potential threats are addressed before they can impact production. Ultimately, adopting such measures not only fortifies security but also boosts overall confidence in AI systems.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Bedrock Guardrails
Bitbucket
Codestral
Codestral Mamba
Databricks
Gemini Enterprise Agent Platform
GitHub
Go
LangSmith
Mathstral
Integrations
Amazon Bedrock Guardrails
Bitbucket
Codestral
Codestral Mamba
Databricks
Gemini Enterprise Agent Platform
GitHub
Go
LangSmith
Mathstral
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Enkrypt AI
Founded
2022
Country
United States
Website
www.enkryptai.com
Vendor Details
Company Name
Noma Security
Founded
2023
Country
New York City
Website
noma.security/
Product Features
Product Features
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Alternatives
No Alternatives