Enterprise Data Protection

The Pika platform provides enterprise-grade data protection and security through architectural design principles that ensure complete data isolation and zero cross-contamination risk. Built entirely on Amazon Web Services with AWS AI team validation, Pika implements a security-first architecture that guarantees your data remains under your control and isolated from other organizations.

Core Security Principle: Defense in Depth Architecture

The fundamental security design of Pika ensures that the AI model cannot accidentally return data from the wrong user or entity through a defense in depth approach with multiple independent security layers:

• AI Model Layer: AWS Bedrock ensures separation at the AI model level - models cannot access or modify user/entity identity context
• Application Layer: Your custom tools and business logic enforce organizational boundaries and data access rules
• Infrastructure Layer: AWS provides network isolation, database segmentation, and encrypted storage

This multi-layered security architecture means that even if one layer were compromised, multiple other layers continue to protect your data. The LLM agent cannot control or modify user or entity identity context - it functions purely as a coordinator while security is enforced at every other layer.

How Identity Information is Secured

LLM Agent Control Isolation

The AI model (LLM) serving as the agent cannot control or modify:

• User ID or authentication context
• Entity/company/account assignment
• Cross-user session access permissions
• Administrative permissions or role assignments

The agent functions as a coordinator that:

• Receives the user's question
• Determines which tools to call
• Orchestrates the response based on tool results
• Can see user identity information when tools return it (e.g., "Who am I logged in as" tools)
• Cannot influence WHO the request is being made on behalf of

Secure Context Passing via AWS Bedrock

Critical user and entity information is passed securely using AWS Bedrock's session management system:

// This data is passed to tools via Bedrock sessionAttributes and the LLM cannot set it or modify it
// and all tools ensure that LLM requests that attempt to provide such context is ignored in favor
// of the canonical data in the session.
sessionAttributes: {
    userId: simpleUser.userId,           // User making the request
    chatAppId: chatSession.chatAppId,    // Which app context
    agentId: agentAndTools.agent.agentId,// Which agent is running
    accountId: user.customData.accountId, // Entity/company context
}

Key Security Benefits:

• No Identity Control Risk: The LLM cannot hallucinate or modify user/entity identity since it cannot control the authentication context
• Tool-Level Enforcement: Each tool receives the authenticated context independently from Bedrock session state and validates permissions accordingly
• AWS-Managed Security: Leverages AWS Bedrock's built-in security for session state management
• Transparent Operation: Users can query "Who am I logged in as" and see their identity, while the system maintains security

Tool-Level Access Control

When the agent calls a tool (Lambda function), the tool receives:

1. Authenticated User Context: Passed via sessionAttributes from Bedrock
2. Entity Information: Account/company details from user's customData
3. Scoped Permissions: Only data the authenticated user/entity can access

Example Tool Security Patterns:

Data Access Tool:

export async function handler(event: BedrockActionGroupLambdaEvent) {
    // Extract authenticated context (set by platform, not LLM)
    const userId = event.sessionAttributes.userId;
    const accountId = event.sessionAttributes.accountId;

    // Tool validates permissions and scopes data access
    const results = await fetchDataForUserAndAccount(userId, accountId);
    return results; // Only data this user/account can see
}

User Identity Tool:

export async function whoAmIHandler(event: BedrockActionGroupLambdaEvent) {
    // Extract authenticated context (set by platform, not LLM)
    const userId = event.sessionAttributes.userId;
    const accountId = event.sessionAttributes.accountId;
    const firstName = event.sessionAttributes.firstName;
    const lastName = event.sessionAttributes.lastName;

    // Return user identity information to the LLM
    return {
        message: `You are logged in as ${firstName} ${lastName} (ID: ${userId}) representing account ${accountId}`
    };
    // LLM can see this information, but cannot modify the underlying context
}

Data Protection Guarantees

Security by Default

Enterprise Security Out of the Box: Pika ships with enterprise-grade security features enabled by default, requiring no additional setup or configuration:

• Encryption Everywhere: All data encrypted at rest and in transit from day one
• Complete Audit Logging: Every action, access, and decision automatically logged with immutable timestamps
• Identity Isolation: User and organizational context separation enforced automatically
• Session Security: Cryptographic session isolation and secure cookie management built-in
• Access Controls: Secure-by-default access policies that deny access unless explicitly granted

No Security Configuration Required: Unlike platforms that require extensive security hardening, Pika operates securely from the moment of deployment. All enterprise security features are enabled by default, not optional add-ons.

Complete Organizational Data Isolation

Zero Cross-Contamination Architecture: Your organization's data is cryptographically isolated from all other organizations through multiple architectural layers:

• Identity Context Immutability: AI models cannot modify or influence organizational/user identity context
• Session-Level Isolation: Each session maintains strict organizational boundaries that cannot be breached
• Database-Level Segmentation: All data storage enforces organizational access boundaries at the infrastructure level
• Memory Isolation: No shared state or cross-organization data caching

AWS Enterprise Security Foundation

Built on Amazon Web Services: Inherits all AWS enterprise security controls and compliance certifications:

• Encryption Everywhere: Data encrypted at rest (DynamoDB, S3) and in transit (TLS 1.3)
• AWS IAM Integration: Leverages AWS Identity and Access Management for resource-level security
• VPC Support: Deploy within your Virtual Private Cloud for network-level isolation
• AWS Bedrock Security: Inherits AWS Bedrock's enterprise-grade AI security framework
• CloudTrail Integration: Complete audit trail of all system access and data operations
• AWS Compliance: Inherits AWS SOC, ISO, and other enterprise compliance certifications

Authentication Independence

Your Authentication, Your Control: Pika integrates with your existing enterprise authentication without compromising it:

• Bring Your Own Auth: Compatible with any enterprise SSO, SAML, OAuth, or custom authentication system
• Zero Trust Model: Every data access request validated against organizational boundaries
• Fail-Secure Design: Security failures result in access denial, never unauthorized data exposure
• No Shared Secrets: No shared authentication credentials between organizations

Enterprise Data Control & Compliance

Data Residency and Control

Full Control Over Your Data: Deploy and maintain complete control over where and how your data is processed:

• Private VPC Deployment: Isolate all data processing within your Virtual Private Cloud
• Data Locality: All AI processing happens within your designated AWS infrastructure
• AWS Data Containment: Your data never leaves the AWS environment - all processing occurs within AWS Bedrock and your designated AWS resources

Zero AI Training on Customer Data

Explicit AWS Bedrock Guarantee: Your data is completely protected from AI model training:

• AWS Bedrock Commitment: AWS Bedrock models never retain customer prompts or responses - this is AWS's explicit commitment to enterprise customers
• No Model Training: Your conversations, data, and business information are never used to train or improve any AI models
• Ephemeral Processing: All AI interactions are processed in real-time and discarded immediately after response generation
• Data Quarantine: Customer data is kept completely separate from any model training pipelines or data collection processes

Enterprise Guarantee: Unlike other AI platforms that may use customer interactions to improve their models, Pika + AWS Bedrock provides absolute assurance that your data remains your data, forever.

Compliance and Audit Capabilities

Enterprise-Grade Compliance: Built-in support for regulatory and corporate governance requirements:

• Complete Audit Trails: Every user action, data access, and AI interaction logged with timestamps and attribution
• Data Lineage Tracking: Full visibility into how data flows through the system and AI interactions
• Immutable Logs: All security and access logs stored in tamper-proof AWS CloudTrail
• Retention Controls: Configurable data retention policies to meet compliance requirements
• Access Reporting: Automated reporting capabilities for security audits and compliance reviews
• GDPR/CCPA Ready: Built-in data privacy controls and right-to-delete capabilities

Security Architecture Validation

AWS Partnership & Validation

Enterprise Assurance: Security architecture reviewed by AWS AI specialists:

• AWS AI Team Review: Direct review of security implementation by Amazon Web Services AI experts
• Best Practices Compliance: Adherence to AWS Well-Architected Framework security pillar
• Regular Security Updates: Automatic inheritance of AWS security patches and improvements

Enterprise Integration

Seamless Security Integration: Works within your existing enterprise security framework:

• SIEM Integration: Compatible with enterprise Security Information and Event Management systems
• Identity Provider Integration: Works with any enterprise identity management system
• Network Security: Full compatibility with enterprise firewall and network security policies
• Compliance Frameworks: Supports SOC 2, ISO 27001, GDPR, HIPAA, and other enterprise compliance requirements

Security Guarantees Summary

For Enterprise Decision Makers:

1. Defense in Depth Security: Multiple independent security layers (AI model, application, infrastructure) protect your data
2. Zero Cross-Organization Data Leakage: Architectural guarantee that organizations cannot access each other's data
3. AWS Bedrock No-Training Guarantee: Your data never retains in AI models or gets used for training (AWS commitment)
4. Security by Default: All enterprise security features enabled out-of-the-box, no configuration required
5. Complete AWS Data Containment: Your data never leaves the AWS environment during processing
6. Complete Audit Trail: Every action, access, and decision is logged immutably for compliance and investigation
7. Enterprise-Grade Encryption: End-to-end encryption matching or exceeding banking industry standards
8. Regulatory Compliance: Architecture designed to support major enterprise compliance frameworks

Bottom Line: Pika provides enterprise-grade data protection with the security assurance that your data remains completely under your organization's control, with zero risk of cross-contamination or unauthorized access.