Enkrypt AI vs Guardrails AI vs Protect AI: Which is the Best AI Security Platform in 2025?
The rise of Large Language Models (LLMs) has brought forth significant challenges in security, compliance, and responsible AI adoption. Enterprises integrating LLMs into their workflows need robust guardrails to prevent prompt injection, bias amplification, PII leakage, and content moderation failures.
This blog compares three leading AI security solutions: (1) Enkrypt AI, (2) Guardrails AI, and (3) Protect AI LLM — evaluating their capabilities across key dimensions.
Introduction to Enkrypt AI
Enkrypt AI secures enterprises against generative AI risks with its comprehensive platform that automatically detects, removes, and monitors threats. The unique approach ensures AI applications and agents are safe, secure, and compliant. Enkrypt AI empowers organizations to accelerate AI adoption confidently, driving competitive advantage and cost savings while mitigating risk. Request a product demo here.
Key Features of Enkrypt AI:
· AI Risk Detection with automated Red Teaming: Utilizes automated and continuous testing to identify vulnerabilities such as prompt injections, data leaks, and harmful content, enabling proactive risk mitigation.
· AI Risk Removal with automated Guardrails: Implements real-time safeguards to prevent security and privacy issues, including prompt injections, toxicity, and exposure of sensitive information, ensuring AI applications operate securely.
· AI Risk Monitoring with automated Governance: Provides continuous oversight of AI applications, offering insights into usage, performance, and potential threats, thereby enhancing governance and compliance across the organization.
· Automated AI Compliance Management: Enkrypt AI's platform provides automated compliance readiness with global (OWASP, NIST, MITRE ATLAS and the EU AI Act) and industry (FDA, IRS, HIPAA) regulations. Such compliance automation reduces manual labor by 90%.
Introduction to Guardrails AI
Guardrails AI is a Python framework designed to enhance the reliability and safety of AI applications by implementing input and output validations. It offers a comprehensive suite of community-driven, open-source validators that address various risks associated with Generative AI (GenAI), such as toxic language, hallucinations, and data leaks.
The framework operates by integrating Input/Output Guards into applications, which detect, quantify, and mitigate specific types of risks. Additionally, Guardrails AI facilitates the generation of structured data from Large Language Models (LLMs), ensuring outputs align with predefined formats and standards.
One of its key components, the Guardrails Hub, serves as a repository of pre-built validators that can be combined to create customized guards tailored to specific application needs. This modular approach allows developers to effectively manage unreliable GenAI behaviors and maintain control over AI outputs.
Guardrails AI supports seamless integration with various LLMs and offers deployment flexibility, including options to run within Virtual Private Clouds (VPCs). This ensures that organizations can maintain security and compliance while leveraging the framework's capabilities.
By incorporating Guardrails AI, developers and enterprises can confidently deploy AI applications, safeguarded against potential risks and aligned with industry best practices.
Introduction to Protect AI
Protect AI is a comprehensive AI security platform that helps organizations see, know, and manage AI security risks while defending against unique AI-specific threats. The platform provides end-to-end security capabilities for Application Security and ML teams, ensuring visibility, remediation, and governance across AI systems and applications.
Key Offerings of Protect AI:
1. Guardian – Zero Trust for AI Models
o Enables enterprise-level scanning and enforcement to secure AI models.
o Prevents the use of unsafe models and protects the ML supply chain by continuously scanning third-party and first-party models for security threats.
2. Layer – LLM Runtime Security
o Provides granular runtime security insights for Large Language Models (LLMs).
o Offers detection and response tools to prevent unauthorized data access, adversarial attacks, and integrity breaches.
3. Recon – Automated GenAI Red Teaming
o Identifies potential vulnerabilities in LLMs before deployment.
o Features no-code integration, model-agnostic scanning, and an extensive attack library for red teaming AI models.
Comparison Table: Enkrypt AI Vs Guardrails AI Vs Protect AI
See how these 3 AI Guardrails products compare against one another.
Enkrypt AI Vs Guardrails AI Vs Protect AI: Key Product Differences (2025)
1. Modalities Supported
Verdict: Enkrypt AI supports a broader range of modalities, making it suitable for multimodal applications beyond text.
2. Prompt Injection & Content Moderation
Verdict: All three solutions offer protection against prompt injection and content moderation capabilities, however Enkrypt AI offers lower latency than Guardrails AI and Protect AI.
3. Bias Detection
Verdict: All three solutions support bias detection.
4. PII Detection & Redaction
Verdict: All three support PII Detection and Redaction, however Enkrypt AI offers custom PII entity detection. Guardrails AI uses Presidio, an open-source tool by Microsoft, to handle PII detection and redaction which may not perform as well as others.
5. Policy Violation & Copyright Content Detection
Verdict: Enkrypt AI stands out with policy violation detection, copyright adherence, and system prompt leak detection, which are absent in the other two solutions.
6. Performance Metrics
Verdict: Enkrypt AI offers unlimited token limits, making it more scalable for large requests. It also has the lowest latency for text-only injections, while Protect AI LLM has slightly higher response times.
Final Thoughts: Which One Should You Choose?
Enkrypt AI guardrails stands out in performance, customizability, and comprehensiveness of the offerings. For enterprises building AI applications, Enkrypt AI guardrails is the way to go.
FAQs
1. What is the primary difference between Enkrypt AI, Guardrails AI, and Protect AI LLM?
Enkrypt AI guardrails stands out in performance, customizability, and comprehensiveness of the offering .
2. Which platform provides the best protection against prompt injection attacks?
All three platforms—Enkrypt AI, Guardrails AI, and Protect AI LLM—offer prompt injection prevention mechanisms. However, Enkrypt AI provides the lowest latency response times for prompt injection detection, making it faster and more efficient.
3. Can these tools detect and redact personally identifiable information (PII)?
Yes, all three tools support PII detection and redaction, but Guardrails AI leverages Microsoft Presidio for this feature, whereas Enkrypt AI and Protect AI LLM offer native detection capabilities.
4. Does Enkrypt AI support copyright content detection?
Yes, Enkrypt AI supports copyright content detection unlike Guardrails AI and Protect AI LLM, which lack this feature.
5. What is system prompt leak detection, and which platform supports it?
System prompt leak detection ensures that sensitive system instructions used for AI Applications are not leaked through user interactions. Enkrypt AI is the only platform that offers this feature.
6. Can I create custom ban topics and words with these tools?
Yes, all three platforms (Enkrypt AI, Guardrails AI, and Protect AI LLM) allow users to define custom ban topics and words to restrict undesirable content.
7. Do these tools support multilingual prompt injection detection?
No, as of now, none of the three platforms have demonstrated tested multilingual prompt injection detection, including for Chinese-language attacks.
8. How do these tools handle large requests?
· Enkrypt AI has no token limit per request, making it ideal for large-scale operations.
· Guardrails AI supports up to ~17,000 tokens per request.
· Protect AI LLM offers nearly unlimited token limits but may have performance trade-offs.
9. Which tool has the fastest latency for security checks?
Enkrypt AI has the lowest latency for text-based injection attacks (~0.029s) and text + image attacks (~1.370s).
10. Which solution is best for enterprises looking for robust LLM security?
If you need comprehensive security across text, images, and voice, Enkrypt AI is the best choice.
.svg){kind=small}
