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Getting Started
Frody edited this page Sep 4, 2026
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This guide demonstrates setting up AgentGuard in a Java 21 application and Spring Boot 3 service.
Add the dependency to your pom.xml:
<dependency>
<groupId>io.github.frodygr</groupId>
<artifactId>agentguard-core</artifactId>
<version>0.1.0</version>
</dependency>For Spring Boot projects:
<dependency>
<groupId>io.github.frodygr</groupId>
<artifactId>agentguard-spring-boot-starter</artifactId>
<version>0.1.0</version>
</dependency>import io.github.frodygr.agentguard.core.AgentGuardSuite;
public class AiAgentDemo {
public static void main(String[] args) {
// Initialize default suite
AgentGuardSuite guard = AgentGuardSuite.ofDefaults();
// Raw input with sensitive PII
String userQuery = "Please update email to alice.smith@corp.com and charge Visa 4532-0150-1234-5671";
// Step 1: Secure outgoing prompt
AgentGuardSuite.GuardedPrompt secured = guard.securePrompt(userQuery);
System.out.println("Transmitted to LLM:");
System.out.println(secured.sanitizedPrompt());
// Outputs: "Please update email to [EMAIL_1] and charge Visa [CREDIT_CARD_1]"
// Step 2: Simulate response from LLM
String llmOutput = "Confirmation: [CREDIT_CARD_1] was charged, receipt sent to [EMAIL_1].";
// Step 3: Restore PII for user
String restoredOutput = guard.restoreResponse(llmOutput, secured.piiContext());
System.out.println("Restored to User:");
System.out.println(restoredOutput);
// Outputs: "Confirmation: 4532-0150-1234-5671 was charged, receipt sent to alice.smith@corp.com."
}
}With the starter on your classpath, annotate your AI interaction methods with @SecurePrompt:
@Service
public class ChatAssistantService {
@SecurePrompt
public String chat(String userMessage) {
// userMessage is pre-masked with tokens!
// Returned response is automatically restored with original PII!
return openAiClient.generate(userMessage);
}
}AgentGuard • Enterprise AI Security, PII Masking & Prompt Firewall • GitHub