Responsible AI deployment with robust safeguards. Prompt injection defense, model auditing, compliance frameworks, and enterprise-grade AI governance.
Guardrails, audits, and governance frameworks that let you deploy AI with confidence.
Input validation, output filtering, and adversarial testing that protect your LLM-powered applications from manipulation and data leakage.
Systematic evaluation of bias, fairness, and accuracy across demographic groups. Reports that satisfy regulators and build stakeholder trust.
AI governance aligned with EU AI Act, NIST AI RMF, and industry-specific regulations. Policies, procedures, and technical controls in one package.
Make black-box models interpretable. Feature attribution, decision explanations, and confidence calibration for high-stakes AI applications.
Map your AI systems, classify risk levels, and identify gaps against OWASP LLM Top 10 and your regulatory requirements.
Adversarial testing of your AI systems — prompt injection, jailbreaking, data extraction, and abuse scenarios. Find vulnerabilities before attackers do.
Deploy input/output guards, rate limiting, content filtering, and audit logging. Technical controls embedded in your AI infrastructure.
Establish policies, review boards, monitoring dashboards, and incident response procedures. Sustainable AI governance, not a one-time audit.
Our team has built AI-powered security systems for enterprises. We understand threats from both the defender's and attacker's perspective.
We track EU AI Act, NIST, OWASP, and sector-specific AI regulations. Your governance framework stays current as the landscape evolves.
We deliver working controls and runbooks — not 100-slide presentations. Every recommendation comes with implementation guidance and code.
Tell us about your project
or email directly: fernandrez@iseeci.com