Securing AI Systems: Enkrypt AI Guardrails in Action
Introduction
In our previous blog, we talked about ideal characteristics of AI guardrails. Today, we’ll see Enkrypt AI guardrails in action and highlight a few of the superior performance metrics and features of our platform.
Before we dive in, here’s a quick overview of the technology. Guardrails act as a protective layer between users and AI systems, detecting and mitigating risks in real time. They ensure that:
- User inputs are screened for potential security threats before reaching the AI system.
- AI responses are checked for sensitive information leaks and integrity issues.
By doing so, guardrails safeguard both users and AI systems from privacy, security, integrity, and compliance risks. See Figure 1 below.
Long Context Handling: Protecting AI from Hidden Attacks
Context length is a critical factor in AI security, particularly when handling large-scale AI systems that process extensive documents. Enkrypt AI Guardrails ensures that even in long-context scenarios, AI adheres to policies and mitigates risks effectively.
Video Demo Highlights:
- Handling 14,000-character prompts: Enkrypt AI Guardrails successfully detects attacks embedded within extensive prompts, whereas other platforms like Azure Content Safety are limited to 10,000 characters.
- Real-time injection attack detection: AI security threats hidden deep within long-context inputs are flagged instantly, preventing manipulation attempts.
- User-friendly testing: A simple login to the Enkrypt AI Playground allows users to evaluate Guardrails in action.
By extending security coverage beyond the limits of competing solutions, Enkrypt AI Guardrails ensures enterprises can process large datasets safely and without compromising integrity. See Video 1 below.
Video 1: Demo of Enkrypt AI Guardrails handling long context
Unified Security with a Single API Call
AI deployments typically require multiple security tools to enforce policies, moderate content, and ensure user privacy. This fragmented approach introduces inefficiencies and integration challenges. Enkrypt AI simplifies security enforcement by combining multiple security detectors into a single API call.
Video Demo Highlights:
- Comprehensive protection: A single API call can detect injection attacks, toxicity, NSFW content, bias, and policy violations.
- Customizable security policies: Users can define policies such as restricting discussions to Enkrypt AI products only.
- Efficient moderation: The system provides consolidated reports, reducing operational overhead and improving response times.
With Enkrypt AI Guardrails, enterprises can streamline AI security while improving moderation accuracy and operational efficiency. See Video 2 below.
Video 2: Demo of Enkrypt AI guardrails called through single API
Securing AI Workflows: Preventing Poisoned Data Ingestion
Indirect Injection attacks can occur because AI applications can ingest malicious data. This leads to misinformation, unsafe output, and even sensitive data leakage. With proper safety guardrails on data ingestion, these risks can be mitigated.
Video Demo Highlights:
- Detection of poisoned documents: Enkrypt AI guardrails successfully detect injection attack inside a poisoned 14,000-character.
- High-probability threat identification: Enkrypt AI provides the probability of whether the document contains embedded attacks with high accuracy.
- Securing AI pipelines: Enkrypt AI Guardrails ensures that unsafe data does not corrupt AI models, preserving model integrity.
By proactively filtering harmful inputs, Enkrypt AI strengthens AI security and protects against manipulated datasets. See Video 3 below.
Video 3: Data Ingestion Guardrails Demo protecting AI Workflows
Custom Policy Enforcement for AI Applications
Every enterprise has unique security requirements, and enforcing specific policies is critical for responsible AI deployment. Enkrypt AI Guardrails allows organizations to define and enforce custom policies tailored to their industry needs.
Video Demo Highlights:
- Industry-specific policies: Organizations can create policies for different domains, such as finance and healthcare.
- Fine-grained security controls: Policies can restrict non-professional AI usage or prevent sensitive data input.
- Real-time policy enforcement: Any violations, such as submitting medical queries to a non-medical chatbot, are detected immediately.
This flexible policy enforcement ensures AI applications remain compliant with industry regulations while maintaining security standards. See video 4 below.
Video 4: Enkrypt AI Custom Policy Violations Guardrails in action
Custom PII Entity Redaction
Personally Identifiable Information (PII) detection is one of the most crucial aspects of security. There are guidelines to protect sensitive information in regulations like HIPAA, GDPR and CCPA. Enkrypt AI Guardrails provides out of the box PII detection and redaction for 30+ categories and can be customized for any kind of data.
Video Demo Highlights:
- Custom entity recognition: Users can define proprietary entities such as product names or internal codes for protection.
- Dynamic redaction: Sensitive entities, including names, emails, and Social Security numbers, are automatically redacted before AI processing.
- Controlled un-redaction: Redacted data is reinserted post-processing to ensure AI responses remain contextual while protecting privacy.
With Enkrypt AI, enterprises can ensure privacy compliance while maintaining AI functionality. See video 5 below.
Video 5: Enkrypt AI Custom PII Entities configuration and detection Demo
Real-Time Injection Attack Detection with Low Latency
AI security solutions must be not only accurate but also fast. Enkrypt AI Guardrails provides real-time detection of injection attacks with minimal latency.
Video Demo Highlights:
- Lightning-fast detection: Simple attack prompts are detected within 71 milliseconds.
- Consistent performance: Even complex adversarial prompts from a dataset maintain a latency of under 70 milliseconds.
- Scalable security: The speed of detection ensures AI applications remain responsive while being secured against evolving threats.
This low-latency security mechanism enables real-time AI moderation without performance bottlenecks. See video 6 below.
Video 6: Enkrypt AI Injection Attack Guardrails Latency Demo
Conclusion
Enkrypt AI Guardrails provides an all-in-one solution for securing AI systems against a wide range of threats, from prompt injections to content violations and PII leaks.
We offer:
- Long-context security beyond competitor limits
- Unified security enforcement via a single API cal
- Robust poisoned data prevention mechanisms
- Custom policy enforcement tailored to enterprise needs
- Advanced PII protection and redaction
- Real-time, low-latency attack detection
Enkrypt AI ensures organizations can deploy AI solutions confidently and securely. If you’re ready to enhance your AI security posture, explore Enkrypt AI Guardrails today!
Frequently Asked Questions (FAQs)
1. What are Enkrypt AI Guardrails?
Enkrypt AI Guardrails detect and block threats inside prompts and responses for deployed AI applications.
2. How does Enkrypt AI Guardrails handle long-context security?
Enkrypt AI Guardrails ensures AI models can securely process large inputs by detecting hidden security threats in long-context prompts. It supports up to 14,000-character inputs.
3. What types of attacks does Enkrypt AI Guardrails detect?
The solution detects a wide range of AI security threats, including:
- Privacy – PII, Copyright and Custom PII Detection
- Security – Prompt Injections, Malicious URLs, Malicious Code, System Prompt Leakage
- Integrity – Relevancy, Hallucination and Adherence Detection
- Compliance & Moderation – Policy Violations, Toxicity/NSFW, Topic, Bias and Banned Keyword Detectors
4. How does the unified API improve AI usability?
A single API for Guardrails makes it easier for developers to integrate multiple threat detection capabilities with one API call.
5. Can I customize security policies for my AI applications?
Yes, custom security policies can be created for different AI use cases. Enkrypt AI Policy Violation guardrails checks whether the generated text adheres to specified policies or guidelines
6. How does Enkrypt AI Guardrails prevent AI from ingesting poisoned data?
The platform detects embedded attacks within large documents, assigns a threat probability score, and blocks unsafe data before it corrupts AI models. This safeguards AI applications from misinformation and sensitive data leaks.
7. What PII protection features does Enkrypt AI Guardrails offer?
Enkrypt AI Guardrails provides real-time PII detection and redaction for 30+ categories, including names, emails, and Social Security numbers. Enterprises can also define custom entities for protection.
8. How fast is Enkrypt AI Guardrails in detecting attacks?
It delivers real-time injection attack detection with a latency of under 100 milliseconds. Even complex adversarial prompts with more than 14000 characters are processed in under 70 milliseconds, ensuring AI applications remain secure without performance delays.
9. Is there a demo available for testing Enkrypt AI Guardrails?
Yes! Users can log into the Enkrypt AI Guardrails Playground to test Guardrails in action. The demonstration shows real-time security enforcement against various AI threats.
10. How can enterprises integrate Enkrypt AI Guardrails into their AI systems?
Enterprises can integrate Enkrypt AI Guardrails via API into their existing AI applications. The platform supports custom configurations to align with business-specific security needs.
11. What industries can benefit from Enkrypt AI Guardrails?
Any industry building AI applications would benefit from our technology. And regulated industries like the ones below should make the Enkrypt AI platform, including Guardrails, a priority.
- Finance (fraud prevention, compliance enforcement)
- Healthcare (HIPAA compliance, medical data protection)
- Technology (employee AI usage policies, brand reputation protection)
- Legal & Government (policy enforcement, data privacy)
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