CORTEGA LABS
RESEARCH REPORT · 14 PAGES
Building Secure Agentic Applications
A vCon Arena architecture for policy and fraud guardrails, PII/PHI protection, escalation-aware controls and conversation assessments through the Cortega API.
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Verification Controls for Legal AI
An evidence-based approach to checking cited authorities, identifying the intended cases and assessing support for legal claims.
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Distinguish the existence of a case from support for a legal proposition.
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Examine benchmark outcomes and the limits of verification.
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Define implementation requirements for legal research products.
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RESEARCH REPORT · 12 PAGES
Benchmarking AI Models for Security Applications
Adaptive attack tests, legitimate-use controls and evidence for selecting models for security applications.
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RESEARCH REPORT · 13 PAGES
Benchmarking AI Models for Legal Applications
A practical examination of contract extraction, citation accuracy and research coverage—and what each reveals about model quality.
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RESEARCH REPORT · 11 PAGES
Security Controls for AI Agents
How to combine resistance to adversarial instructions with permission checks that govern what an agent can actually do.
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Verification Controls for Legal AI
An evidence-based approach to checking cited authorities, identifying the intended cases and assessing support for legal claims.
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RESEARCH REPORT · 13 PAGES
Measuring and Improving AI ROI
Connect application and agent costs with accuracy, accepted outcomes and review effort to identify opportunities to increase AI return on investment.
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