Services
Governance Capabilities.
Protect against adversarial attacks, prompt injection, jailbreaking. Model security testing, vulnerability assessment, and hardening strategies.
PII handling, data retention policies, training data governance, differential privacy. Ensure compliance with GDPR, CCPA, and regional regulations.
Model versioning, deployment controls, performance monitoring, bias detection, and explainability frameworks for accountability.
Bias assessment and mitigation, fairness audits, ethical review processes, stakeholder engagement, and responsible deployment practices.
Why Choose Aelius.
AI safety and compliance from engineers who build responsible systems at scale.
AI Expertise + Compliance Depth
We bring together AI engineers and compliance specialists. We understand both the technical challenges and regulatory landscape for AI systems.
Practical Frameworks
Not theoretical best practices—we implement governance frameworks that work for enterprise teams. Model cards, data lineage, audit trails built into your processes.
Risk-Based Approach
We assess AI risks specific to your use case. High-risk applications (healthcare, financial, hiring) get more rigor. We scale governance proportionally to risk.
Continuous Monitoring
AI safety is not one-time. We set up monitoring for model drift, bias evolution, emerging vulnerabilities, and changing regulations.
Financial Services Deploys AI Securely
Challenge
Need to deploy LLM for customer service but facing compliance, security, and regulatory concerns about AI use in regulated industry.
Solution
Built AI governance framework: security assessments, bias audits, compliance monitoring, model cards, audit trails for regulators.
Outcome
Safely deployed LLM, passed regulatory review, 99.2% accuracy, zero security incidents, full audit trail for compliance.
AI Safety Questions.
Deploy Responsibly.
Ready to implement AI governance and security that lets you deploy confidently?