AI Security & Ethics

Building Trustworthy AI

AI systems can cause real harm if not built responsibly. From privacy violations to biased decisions to security vulnerabilities, the risks are significant. We help you build AI that's safe, fair, and transparent.

Responsible AI isn't just about compliance—it's about building systems your users can trust. We integrate safety and ethics into every stage of AI development, from design through deployment and monitoring.

Responsible AI Practices

• Security — Prompt injection defense, data protection, access controls
• Privacy — Data minimization, anonymization, GDPR compliance
• Bias Mitigation — Testing for fairness, diverse training data, ongoing monitoring
• Explainability — Transparent decision-making, user-facing explanations
• Safety — Content moderation, output validation, human oversight
• Governance — Policies, audit trails, and accountability frameworks