Organizations struggle to translate NIST AI RMF, OWASP Top 10 LLM, and MITRE ATLAS frameworks into actionable implementation plans that reduce their risk posture. Generic checklists don't account for your specific architecture, compliance requirements, or existing platform investments—leading to vendor chaos, capability gaps, and redundant spending.
Most organizations are adopting GenAI faster than they can govern or secure it. The result is predictable:
Shadow AI growth (unknown tools + unknown data exposure)
AIRN solves this by aligning risk, responsibility, architecture, and solutions into one consistent model.
53 prescriptive capabilities organized by WHO implements (Application, Infrastructure, Governance) rather than abstract categories. Covers 8 risk categories and 41 specific threats.
Two-stagemethodology separates inherent risk (data sensitivity, user trust, autonomy)from architecture amplification (agents, RAG, APIs) to prioritize risks thatapply to your implementation.
AI agents analyze 60+ vendors across 40+ data points per vendor. Maps capabilities to risks, identifies gaps, validates claims, and performs complementarity analysis to prevent redundant purchases.
Maximizes existing Azure, AWS, CrowdStrike, or Palo Alto investments before recommending new vendors. Aligns to your preferences (centralized vs. distributed, build vs. buy, platform vs. best-of-breed).
Architecture-aware assessment ensures you address risks that actually apply to your implementation, not generic checklists
Recommendations align to your organizational preferences: centralized vs. distributed, build vs. buy, platform consolidation.
Your personalized risk score based on 5 dimensions: data sensitivity, user trust, autonomy level, decision criticality, and deployment model—plus architecture amplification from agents, RAG, APIs, and tool integrations. See which of 41 risks actually apply to your implementation.
A control plan mapped to the responsible team (Application/Infrastructure/Governance) with clear ownership. Know exactly which capabilities developers need to build in, which IT Security deploys centrally, and which leadership enforces through policy.
Discover what's covered vs. missing across your entire security stack. See which GenAI security capabilities your existing Azure, AWS, CrowdStrike, or Palo Alto platforms already provide—typically 60-70% coverage before new procurement.
Shortlisted vendors aligned to your required capabilities, architecture realities, and organizational preferences (centralized vs. distributed, build vs. buy, platform vs. best-of-breed). Includes complementarity analysis to prevent redundant purchases.
Actionable demo questions to validate vendor claims quickly. Know exactly what to ask in vendor calls to confirm capabilities match your needs—sorted by validation priority (Critical/High/Medium) so you focus on what matters.
In an era where every organization is racing to deploy GenAI, Consortium ensures your security strategy enables innovation rather than blocking it. We transform abstract security frameworks into investment-grade vendor strategies—revealing that most organizations already own 60-70% of required capabilities through existing platforms. Our approach eliminates redundant spending, accelerates vendor selection from quarters to weeks, and provides board-ready justification for every security investment tied directly to quantified risk reduction.
Turn Security from Cost Center to Competitive Advantage.
Schedule a 30-minute consultation to see your personalized risk assessment and vendor recommendations