Overview
AI Implementation
Security Assessment Process
- Evaluation of data handling practices
- Review of privacy policies and terms of service
- Assessment of compliance with SOC, HIPAA, and other relevant standards
- Analysis of data retention and deletion policies - adjusting settings as necessary
- Verification of encryption standards
- Review of access control mechanisms
General Usage Guidelines
Compliance & Regulatory Requirements
- All AI usage must comply with internal policies and industry regulations
- Regular audits will be conducted to ensure responsible AI tool usage
- Team members must complete required annual security training
Approved AI Tools and Security Posture
- Google Gemini Advanced
- GitHub Copilot (Team License)
- Fireflies.ai (Business Plan)
- Windsurf by Codeium (Organization Team)
- Cursor (Business)
- JetBrains IDE AI (Junie)
Note: Any new AI tools require security review and explicit approval from IT/Security before use in company projects.
Client Data Protection
- No sensitive data is used for AI model training
- All data processing complies with existing data protection agreements
- Confidentiality is maintained at all times
- Regular audits of AI tool usage and data handling
Continuous Monitoring and Updates
- New security features and capabilities
- Changed terms of service or privacy policies
- Updated compliance requirements
- Emerging security risks or concerns
Adoption Process
- Initial security assessment and documentation
- Controlled implementation with monitoring
- Regular security reviews and updates
Documentation and Training
Tool Details

Google Gemini Advanced
Workspace Business Plus (Platform):
- ISO 27001 certified
- SOC 2 Type II and SOC 3 compliance
- GDPR and CCPA compliant
- Standard access controls and DLP
Gemini Advanced Data Protection and Privacy Details: (License included in Workspace Business Plus)
- Data Handling:
- Conversations are not retained after completion
- No human review of conversations
- Data is processed only to generate responses
- Conversations are not used to train the model
- Security Measures:
- Standard Google Workspace encryption (in transit and at rest)
- Data processed in Google Cloud regions according to Workspace location settings - Real-time only
- Data handling follows standard Workspace Business agreements
- Follows Google Cloud's security standards
- Admin Controls:
- Enable/disable Gemini Advanced for users
- Standard Workspace access controls apply
- Basic DLP rules can be applied
Source(s):

GitHub Copilot
Github Teams (Platform)
- SOC 2 Type 2 reports available
- ISO/IEC 27001:2013 certification
- GDPR compliance with data processing agreements available
- Standard security controls and monitoring
Data Protection and Privacy Details:
- IDE-specific data retention:
- Code snippets in IDE retained only during active session
- Suggestions discarded immediately after display
- Local processing with no permanent storage
- All other access including Network/API data retention:
- Suggestions cached for maximum 24 hours on servers
- Prompts and suggestions retained for 28 days; The Copilot model requires access to previous interactions to deliver accurate and relevant suggestions
- User engagement data kept for two years
- Feedback data retained as needed for intended purpose
- Copilot Security Features:
- Azure OpenAI Service security standards for processing
- IP indemnification for code suggestions
- Telemetry settings configurable per user
- Network requests processed in Microsoft Azure
- Standard data center regions apply
Source(s):

Fireflies.ai
Fireflies.ai - Team (Platform)
- SOC 2 Type II certified
- GDPR, CCPA, and HIPAA compliant
- AES-256 encryption for data at rest and in transit
- Role-based access control (RBAC) with SSO
- Hosting on AWS with isolated tenant architecture
Data Protection and Privacy:
- Meeting Data Processing:
- Meeting transcripts stored with enterprise-grade encryption
- All data processed in secure AWS data centers
- Private cloud deployment options available
- Custom data retention policies available
- No training of AI models on customer data
- Security Features:
- End-to-end encryption for all communications
- SAML-based Single Sign-On (SSO)
- Two-factor authentication (2FA)
- IP allowlisting capabilities
- Audit logging and monitoring
- Access Controls:
- Granular user permissions
- Team-based access management
- Admin dashboard controls
- Domain-based user restrictions
- Custom privacy settings per meeting
Source(s):

Windsurf by Codeium
Windsurf Organization - Teams (Platform)
- SOC 2 Type II compliance in progress
- TLS 1.3 encryption for all API endpoints
- AWS infrastructure with ISO 27001 compliance
- Regular third-party penetration testing
Data Protection and Privacy:
- Data Processing:
- Zero data retention after completion
- End-to-end encryption for all code processing
- No data storage on Codeium servers
- Data processed in US-based AWS data centers
- TLS 1.3 for all API communications
- Security Features:
- Team-wide policy configuration
- No model training on customer code
- Signed API requests with rotating tokens
- Network isolation between users
- Code never shared between users or organizations
- Access Controls:
- RBAC for team management
- SSO available for Teams
- Access audit logging
- IP allowlisting options
Source(s):

Cursor
Cursor - AI-First Code Editor (Platform)
- SOC 2 Type II certified
- Regular third-party penetration testing
- Infrastructure hosted on Google Cloud Platform
- End-to-end encryption for data in transit
Data Protection and Privacy:
- Data Processing:
- Minimized data retention policies
- Only necessary information stored for service functionality
- Personal data stored in hashed and encrypted formats
- Code snippets and context temporarily stored for AI functionality - deleted after AI processing completes
- Security Features:
- Team-wide policy configuration, enforcement and management
- Code data for users on privacy mode is never persisted
- Encrypted data storage with strict access controls
- Network isolation between organizations and users
- Access Controls:
- Role-based access controls
- Detailed audit logging
- Enterprise SSO integration available
- Controlled API access with authentication
- Secure key management for integrations
Source(s):

JetBrains IDE Go AI (Junie)
JetBrains IDEs Go AI (Junie & AI)
- SOC 2 Type II certified
- Regular third-party penetration testing
- Comprehensive Business Continuity and Disaster Recovery (BC/DR) plans in place
- System features and configuration settings designed for robust user access control.
Data Protection and Privacy:
- Data Processing:
- Code remains yours and is never used for AI training, with local AI options for maximum security
- Zero data retention & data excluded from training
- Content exclusion with .aiignore
- Clear communication to users regarding the handling of personal information (notice, choice, consent, collection, use, retention, disclosure, and disposal)
- Security Features:
- Encryption technologies to protect system data both at rest and in transit.
- Adherence to internal security standards and best practices
- Access Controls:
- Enterprise Option - Connect to AI providers using corporate accounts, Connect on-premises LLMs
- Enterprise Option - On-premises installation, Tamper-proof request-response logs, Advanced user and group access management, SSO authentication, and IP indemnity
Source(s):
Contact Information
For specific inquiries about our AI tool security policies or to request detailed documentation, please contact Jahnel Group's security team, security@jahnelgroup.com
*This page is reviewed and updated quarterly to reflect the current state of AI tool implementation and security measures at Jahnel Group.