Safety & Trust
Ensuring secure, responsible career coaching
From enterprise-grade data security to content moderation and compliance with industry standards, Coach is built to protect user data and maintain the integrity of career guidance.
Enterprise-grade security
Coach is SOC 2 compliant, meeting rigorous industry standards for security, availability, and confidentiality. This independent certification demonstrates our commitment to safeguarding sensitive data and ensures that institutions and workforce organizations can rely on a platform that meets the highest compliance expectations.
How we protect data
End-to-end encryption – All data is encrypted at rest and in transit using AES-256 encryption for storage and TLS 1.2+ protocols for network security.
Strict access controls – Multi-factor authentication (MFA), role-based permissions, and zero-trust access ensure that only authorized personnel can handle sensitive data.
Continuous monitoring & threat detection – AI-driven anomaly detection and automated security alerts to help prevent unauthorized access or breaches.
Additional data protection practices
Regular audits & compliance – We undergo third-party audits to ensure compliance with SOC 2, FERPA, and other industry best practices, maintaining transparency and trust.
Incident response & breach handling – We have a structured Incident Response Plan to ensure timely and effective handling of security events.
Redundancy & disaster recovery – Data is backed up across multiple secure locations, ensuring high availability and protection against unexpected failures.
What this means for you:
Institutions and workforce partners can confidently integrate Coach, knowing that their student and program data is protected with the same security standards used by major software providers.
Take a look at Coach’s Trust Center for detailed information about Coach’s security practices and policies.
Responsible AI, built with educators & experts
Coach was designed with career educators and workforce experts to ensure it delivers safe, research-backed guidance. Our Responsible AI Framework outlines core principles that prioritize:
Human-centeredness:
We prioritize the human experience in AI development and firmly believe that AI is not a replacement for teachers, counselors, or other types of career development but rather an accessible tool to supplement learning.
AI literacy:
We aim to educate users about the capabilities and applications of AI, empowering them to leverage generative AI as a constructive part of their career paths and daily lives.
Co-design:
We work with various stakeholders and beneficiaries in the design process in order to create culturally competent AI solutions that are deeply aligned with users' unique needs.
Explainability and interpretability:
We ensure underlying mechanics of our AI tools are understandable to non-experts, fostering trust and more informed engagement with the technology.
Inclusiveness, fairness, and anti-bias:
We actively work to ensure that AI does not exacerbate existing disparities but contributes positively to societal equity.
Monitoring:
We regularly evaluate AI tools to ensure that they remain aligned with our ethical commitments and that any issues or biases are promptly addressed.
Transparency:
By providing clear insights into how our AI models function, we facilitate informed interaction with the technology and inspiration for the sector at large.
Safety & privacy:
We are committed to user privacy and safety in order to ensure that all personal data is handled with the utmost care, complying with best practices and regulatory guidelines.
We are a founding member of the EDSAFE AI Alliance Industry Council, working to ensure AI in education is Safe, Accountable, Fair, and Effective (SAFE).
Content moderation & quality assurance
To maintain high-quality, safe career guidance, Coach implements multi-layered content moderation and real-time system monitoring:
Proactive AI moderation
Automated content screening flags inappropriate content and detects off-topic discussions.
Human oversight
Our moderation team reviews flagged interactions to ensure high-quality responses
Real-time system monitoring
Continuous tracking of data integrity, response accuracy, and system performance ensures reliability.
Feedback Loops
Institutions and users can report issues, helping us refine AI guidance and content over time.
Privacy & user control
Our approach to privacy and data protection is built on four pillars:
Transparency
- We clearly explain what data is collected, why it’s needed, and how it’s used—no hidden practices.
- We never sell, rent, or trade user information to third parties.
User-controlled data management
Users and institutional partners can:
- Download their data – Users can request a copy of their interaction history.
- Manage privacy settings – Institutions can define data retention policies that fit their compliance needs.
- Delete their data – Users can permanently delete their personal data at any time by contacting us.
No AI model training on user data
- User conversations are not used to train AI models, ensuring that interactions remain confidential and private.
- We do not use personally identifiable information (PII) for AI development.
Compliance with data residency & protection laws
- Coach complies with FERPA regulations for student data protection.
- Personal data is primarily stored in the United States, with select services using EU-based storage providers when required for compliance.
For more details, see our Privacy Policy.