AI Guardrails & Security

Protect your AI systems from threats with intelligent guardrails. Real-time protection against prompt injection, hallucinations, data leaks, and adversarial attacks.

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99.9%
Threat Detection Rate
<50ms
Average Latency
50M+
AI Requests Protected
Zero
Data Breaches

What Are AI Guardrails?

AI Guardrails are protective mechanisms that monitor, filter, and control AI system inputs and outputs in real-time. They act as security boundaries that ensure AI applications operate safely, comply with policies, and protect sensitive data.

Think of guardrails as intelligent safety rails on a highway—they keep AI systems on the right track, preventing harmful outputs while allowing legitimate requests to flow through seamlessly.

Modern guardrails use a combination of rule-based systems, machine learning models, and LLM-powered analysis to detect threats and policy violations with high accuracy and minimal latency.

  • Block malicious inputs before they reach AI models
  • Filter harmful or non-compliant AI outputs
  • Protect sensitive data from exposure
  • Ensure compliance with organizational policies
See Demo
User Input
Prompt, query, or request
Input Guardrails
Scan, validate, sanitize
AI Model
Process and generate response
Output Guardrails
Verify, filter, redact
Safe Output
Verified, compliant response

Types of AI Guardrails

Comprehensive protection requires multiple layers of guardrails working together to secure AI systems from all angles.

Prompt Injection Defense

Detect and block attempts to manipulate AI behavior through malicious prompts.

  • Pattern-based detection
  • ML-powered classification
  • Context-aware analysis

Hallucination Detection

Identify and prevent AI from generating false or misleading information.

  • Multi-model validation
  • Confidence scoring
  • Fact verification

PII Protection

Detect and redact personally identifiable information from AI interactions.

  • 50+ entity types
  • Custom patterns
  • Automatic redaction

Policy Enforcement

Enforce organizational and regulatory policies on all AI interactions.

  • Custom rule engine
  • Semantic matching
  • Compliance tracking

Content Filtering

Block harmful, toxic, or inappropriate content from AI outputs.

  • Toxicity detection
  • Hate speech blocking
  • Adult content filter

Rate Limiting & Abuse

Prevent abuse and resource exhaustion with intelligent rate controls.

  • Per-user quotas
  • Anomaly detection
  • Cost controls

AI Security Threats

Understanding the threats facing AI systems is the first step to protecting against them.

Prompt Injection Attacks

Attackers craft malicious prompts to manipulate AI behavior, bypass restrictions, or extract sensitive training data.

78% of LLM apps vulnerable
#1 OWASP LLM risk

Data Exfiltration

AI systems can inadvertently leak PII, proprietary data, or confidential information through their responses.

$4.45M Avg breach cost
277 days to identify breach

AI Hallucinations

AI generates convincing but false information, creating legal liability and damaging trust with users.

15-25% of responses may hallucinate
High Legal liability risk

Bias & Discrimination

Uncontrolled AI can produce biased outputs that discriminate against protected groups, violating regulations.

$100M+ in regulatory fines
Growing EU AI Act enforcement

Multi-Layer Protection

Prime uses a defense-in-depth strategy with multiple layers of protection. Each layer adds security, and together they provide comprehensive coverage against AI threats.

Our guardrails operate in real-time, adding less than 50ms latency while inspecting every request and response. Threats are blocked before they can cause harm.

Learn More
1

Input Validation Layer

Scans incoming prompts for injection attacks, malicious patterns, and policy violations.

2

PII Detection Layer

Identifies and redacts sensitive personal information before it reaches the AI model.

3

Policy Enforcement Layer

Applies organizational rules and compliance requirements to all interactions.

4

Output Verification Layer

Validates AI responses for accuracy, safety, and compliance before delivery.

5

Audit & Monitoring Layer

Logs all interactions for compliance reporting, incident investigation, and analytics.

Implement Guardrails in 4 Steps

Deploy AI guardrails quickly with Prime's enterprise-ready platform.

1

Connect Your AI

Integrate with REST API, MCP protocol, or use our Microsoft Copilot connector.

2

Configure Policies

Set up guardrails using our visual editor or import existing compliance frameworks.

3

Enable Protection

Activate real-time monitoring with one click. Start in monitor mode, then enable blocking.

4

Monitor & Refine

Use analytics dashboards to understand threats and continuously improve your policies.

With vs Without Guardrails

See the difference AI guardrails make for your organization.

Capability
Without Guardrails
With Prime
Prompt Injection Protection
PII Detection & Redaction
Hallucination Detection
Policy Compliance
Audit Trail
Human-in-the-Loop Workflows
Real-time Threat Blocking

Guardrails for Every AI Application

Protect any AI system with Prime's flexible guardrail framework.

Customer Service Chatbots

Ensure chatbots provide accurate information, don't expose customer data, and stay on-brand.

Autonomous AI Agents

Add safety boundaries to AI agents that take actions, ensuring they operate within defined limits.

Document Processing

Protect sensitive documents during AI-powered extraction, summarization, and analysis.

Microsoft Copilot

Add enterprise guardrails to Copilot Studio agents and Power Platform AI builders.

RAG Applications

Secure retrieval-augmented generation with guardrails for both retrieval and generation phases.

Healthcare AI

HIPAA-compliant guardrails for medical AI applications with strict PHI protection.

Secure your AI today

Start protecting your AI applications with Prime's enterprise-grade guardrails.