Enkrypt AI
Secure AI deployments through automated risk detection and compliance
Target Audience
- Enterprise security teams
- AI compliance officers
- Financial institutions
- Healthcare technology developers
Hashtags
Overview
Enkrypt AI helps enterprises safely adopt generative AI by automatically finding and fixing security risks. It protects against data leaks, biased outputs, and compliance violations while maintaining AI performance. The platform is particularly valuable for regulated industries handling sensitive data.
Key Features
Red Teaming
Simulates real-world attacks to uncover AI vulnerabilities
Guardrails
Blocks harmful outputs like bias and data leaks in real-time
Compliance Reporting
Automates adherence to OWASP, NIST, and MITRE standards
LLM Leaderboard
Compares AI model security performance across providers
Industry Templates
Pre-built configurations for finance, healthcare, and tech
Use Cases
Secure financial chatbots handling sensitive data
Safeguard healthcare AI from privacy violations
Ensure compliant insurance claim processing
Deploy regulated biotech AI applications
Pros & Cons
Pros
- Automates 90% of compliance workload
- Detects 100+ vulnerability types
- Works with any LLM model
- Provides real-time production monitoring
Cons
- Requires AI/security expertise to configure
Frequently Asked Questions
What AI risks does Enkrypt protect against?
Prevents data leaks, toxic content, bias, hallucinations, compliance violations, and denial-of-service attacks
Does it work with custom AI models?
Yes, supports testing and securing any large language model
How fast does risk detection work?
Provides real-time monitoring and threat removal in production environments
Reviews for Enkrypt AI
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