Compliance & Security

Security & Compliance Framework

Ensuring the integrity, confidentiality, and availability of data is fundamental to the operation of Autonomy AI. A robust security framework governs all aspects of data handling, access control, and infrastructure management, with adherence to industry best practices and regulatory standards.

Data Security & Isolation

Access Control Mechanisms

• Internal Access: Strictly limited to authorized personnel, enforced through Single Sign-On (SSO), VPN access, and Two-Factor Authentication (2FA).
• Audit Logs: Continuous logging of authentication attempts, administrative actions, and API usage.

Encryption Standards

• All communication is encrypted in transit, and data is encrypted at rest using industry-standard protocols.

Regulatory Compliance & Certifications

GDPR Compliance

Autonomy AI is actively working toward full GDPR compliance. Current measures include:

• Data Minimization: Only essential user data (names, email addresses) is collected.
• Data Protection: Secure encryption, strict access controls, and adherence to privacy-by-design principles.
• Data Processing Agreements (DPA): Available upon request as compliance processes mature.

ISO 27001 & SOC 2 Type 2 Certification

• Currently undergoing SOC 2 Type 2 certification, expected completion by Q2 2025.
• Alignment with ISO 27001 security management principles, including access control, risk management, and incident response frameworks.

Data Residency & Storage

• Customer data is stored in AWS US.
• Data residency options are available for enterprise customers with jurisdictional requirements.
• No data is used for AI training; only vectorized metadata and descriptive summaries are retained for searchability.

Incident Management & Monitoring

Threat Detection & Response

• Using industry best practices for intrusion detection, vulnerability management, incident reporting, monitoring, and logs.

Incident Response Plan

• Notification Protocols: In the event of a security breach, designated organization contacts are informed in accordance with contractual agreements.
• Forensics & Recovery: Incident analysis and remediation follow industry-standard forensic investigation methodologies.

AI Security & Governance

• Customer data is never used to train AI models.
• AI-generated outputs are monitored for compliance with internal security policies and regulatory guidelines.
• Strict governance policies ensure AI operations align with best practices in data privacy and ethical AI development.

Sub-Processors & Third-Party Services

Provider	Location	Service Provided
AWS	US	Cloud Hosting
OpenAI	US	AI Services
Anthropic	US	AI Services
Datadog	US	Monitoring & Analytics
SendGrid	US	Email Delivery
HubSpot	US	CRM & Customer Management
Mixpanel	US	Monitoring & Analytics

All third-party providers comply with stringent security and privacy standards, with contractual agreements enforcing data protection measures.

Security-First Development Lifecycle

Autonomy AI employs secure-by-design principles in all development processes, incorporating:

• Code Reviews & Static Analysis: Automated and manual security reviews integrated into CI/CD pipelines.
• Dependency Management: Regular security assessments of third-party libraries to prevent supply chain vulnerabilities.

Legal & Privacy Policies

• Product/service-specific Terms & Conditions are available upon request.

Future Security Roadmap

Planned Enhancements (2025+)

• Completion of SOC 2 Type 2 Certification.
• Additional data residency options for global compliance alignment.
• Formalization of incident management procedures to meet evolving regulatory expectations.