SYSTEMORES
AI Agent Auditor
From Fluency to Mindprints:
The Measurement Science
for Agentic Risk.
Traditional benchmarks measure what an AI can achieve under fixed conditions. Systemores maps the latent behavioral, cognitive, and systemic dispositions of your autonomous AI workforce. Move past superficial performance metrics to continuous, auditable verification.
Systemores AI Agent Auditor Overview
Watch our ~8-minute executive platform overview covering behavioral auditing, Machine Mindprints, and tool execution integrity.
The Market Gap
The existing market tells you what your agent did. We tell you why they did it.
Every enterprise now runs AI agents. Yet, deploying autonomous agents without a behavioral audit exposes organizations to unquantifiable corporate liabilities: legal exposure from EEOC/regulatory compliance violations, silent data corruption at the tool-execution layer, and reputational damage from drifting personas. Systemores was built to quantify these critical operational risks before they impact the bottom line.
The Three Audit Layers
Systemores Behavioral Auditing operates on three distinct questions.
Enterprises cannot manage what they do not measure. By translating Henry Murray's 80-year-old Needs-Press psychometric model into a scalable, automated validation layer for the digital workforce, Systemores bridges foundational psychology and enterprise AI safety. Combined with Signal Detection Theory, we isolate response criteria from capability variance to quantify operational boundaries and prevent compliance or financial failures.
The 21-dimension Needs-Press model scores the motivational architecture embedded in every system prompt. Know the behavioral DNA of your agent before a single production call is made by a user.
We map your agent's behavioral regularities into a Machine Mindprint — a scored behavioral signature across the 21 Systemores dimensions, scoped to that agent's configuration and domain. By running multi-turn adversarial simulations, we track drift across calibration, suggestibility, and context stability before a deployment failure occurs.
Hallucination isn't just a lack of knowledge — it's a response-criterion failure under uncertainty. Systemores defines the exact operational boundaries — abstention discipline, suggestibility thresholds, and signal-to-noise criteria — that mark where an agent's reasoning begins to degrade, preventing costly hallucinations and legal exposure.
“You are auditing the psychometrics and operational psychology of the agentic workforce. No one else has built an audit suite specifically engineered to map, trace, and score those behavioral signals.”
— Systemores Platform Thesis
Rather than relying on arbitrary metrics or heuristics, Systemores translates Henry Murray's deeply verified, 80-year-old Needs-Press framework of human organizational psychology into a scalable, automated validation layer for the digital workforce. Our proprietary implementation provides a robust commercial interface for Machine Psychometrics, bridging the gap between foundational cognitive science and enterprise production engineering as validated by leading research groups.
Beyond the Code: Auditing the Psychology of the Agentic Workforce
Listen to the full episode where we dissect Murray's Needs-Press model, discuss how prompt-level vectors project behavior, and outline why understanding cognitive drift is critical for safe agent deployment.
The Platform
A pre-deployment audit suite and enterprise MCP server engineered for the behavioral layer.
Paste any system prompt. Select your module. Get a full 21-dimension psychometric score backed by the Systemores Core API and Gemini behavioral extraction — in seconds. Also available as a Model Context Protocol (MCP) server for CI/CD and agent-to-agent pipelines, acting as a real-time Trust Engine that gates autonomous action. Each audit returns a structured Validity Passport — full details in the Trust Governance section below.
Simulates adversarial pressure across 12 attack types to identify prompt injection vulnerability. Returns a validated Persona Stability Index and behavioral integrity score to secure operational boundaries.
Tracks behavioral signature shift across multi-turn sessions. Detects drift probability and rating deviations to prevent silent persona degradation and ensure consistent customer experience.
Mitigates regulatory exposure by scoring disparate impact risk against EEOC, Fair Housing Act, ECOA, and COPPA compliance frameworks. Identifies compliance violations and generates actionable mitigation guardrails.
Deep psychometric personality vector mapping via EthosNeo. Measures 30 OCEAN sub-facets to generate quantitative cognitive embeddings.
Multi-agent segment simulation via EthosSim. Conducts DAG topology scans, synthetic user cohort red-teaming, and environmental chaos testing.
Verifies the translation of instructions to action. Audits tool selection correctness, schema argument compliance, and safety rules for handling ambiguous/failed returns to prevent execution failure.
Secures bottom-line ROI and cost optimization. Pinpoints reasoning latency bottlenecks and token inefficiencies where complex prompts cause agents to burn excess compute budgets.
Exports formal 1-click regulatory compliance dossiers formatted for EU AI Act (EU 2024/1689), NIST AI RMF 1.0, EEOC/ECOA, and SOC 2 AI Addendums for legal and board review.
Validity Passport & Compliance Evidence
Auditable Trust Governance & the Validity Passport
A trust score is meaningless without context. Systemores returns a structured Validity Passport with every audit run — capturing the exact prompt regime, module configuration, domain risk weightings, and scored safety boundaries for that agent version. Integrate with your CI/CD pipeline via MCP to gate autonomous action before deployment. This passport generates structured, auditable evidence records ready for regulatory compliance reporting and CCO verification, ensuring a permanent verification trail.
- ⚖️ Compliance & Regulatory Submissions
Generates standardized JSON evidence records ready for immediate compliance review (EEOC, Fair Lending, HIPAA, and custom risk registries). - 🚀 Middleware Policy Enforcement
Plugs natively into CI/CD workflows via the MCP server to dynamically block version releases that exceed set drift, bias, or safety thresholds.
The behavioral layer has been unmeasured. Until now.
Try the platform free — no account required. Paste a system prompt and run your first behavioral audit in under 30 seconds.
audit.systemores.com