ENTERPRISE
Balance innovation with control.
Enterprises scaling AI with internal and third-party tools drive innovation but expose critical IP, data, and reputation to new risks. Aegis Blue’s LLMOps platform delivers the quantified technical assurance essential for confident deployment, asset protection, and robust executive oversight and compliance.
OUR SOLUTION
Aegis Blue LLMOps
Master enterprise AI complexities with Aegis Blue's LLMOps platform. Secure your AI initiatives, ensure compliance and high performance, and drive quantifiable business value by addressing critical enterprise risks directly.
PROACTIVELY MANAGE QA & MODEL DRIFT
AI systems can drift from intended behaviour or lose performance. We validate initial quality and prevent degradation through comprehensive QA protocols and ongoing monitoring.
NAVIGATE PRIVACY & SECURITY REGULATIONS
Adherence to evolving global AI regulations (e.g. EU AI Act, GDPR) is mandatory. Our expertise helps implement necessary technical controls, aligning your AI with critical standards.
MANAGE THIRD-PARTY AND VENDOR AI RISK
Your risk surface grows with every third-party AI integration. Our technical assessments extend to your third-party AI, verifying alignment with your enterprise's required security posture.
PROTECT CRITICAL ASSETS & IP
AI systems leveraging proprietary data can introduce IP and data leak vulnerabilities. Identify and neutralize these threats using specialized red teaming and robust technical safeguards.
QUANTIFY UNCERTAINTY & ENABLE EXECUTIVE OVERSIGHT
Effective executive oversight demands clear, quantifiable AI risk metrics. Obtain measurable risk data and actionable reports, providing evidence-based insights for confident decision-making.
MITIGATE BRAND RISK & LEGAL LIABILITIES
Your brand and legal standing are threatened by AI errors, bias, and misleading statements. Our thorough QA, bias testing, and behavioural analysis safeguard your reputation and address these liabilities.
STEP 1:
Assess & Quantify
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Red Teaming & Tailored QA for Threat Identification
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Bespoke Dataset Development for Accelerated Validation
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Performance Validation & Behavioral Assurance
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Quantifiable Risk Metrics & Actionable Reporting
STEP 2:
Implement & Govern
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Assessment Translation into Technical Remediation
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TECHNICAL Safeguard Implementation for Regulatory Compliance
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Integration with Enterprise Governance Frameworks
STEP 3:
Monitor & Adapt
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Continuous Monitoring for Model Drift & Vulnerabilities
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Continuous Validation & Regulatory Alignment
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Model update assurance
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AI Lifecycle Management for Sustained Trust & Efficacy
