Management-system standards that set the baseline: NIST AI RMF, ISO 42001, ISO 27001, SOC 2.
BIDODI aligns with the frameworks that matter
We don't reinvent the wheel — we map your program to the standards regulators, customers, and auditors already trust. From AI-specific frameworks like NIST AI RMF, ISO 42001, and the CSA AI Controls Matrix, to enterprise standards like ISO 27001, SOC 2, and NIST 800-53.
How the name reads against the standards
Baselines anchored in ISO, defense expressed through directives and control overlays, and trust secured by diligence and interoperability between frameworks.
Threat catalogs, control overlays, and regulatory directives: OWASP, MITRE ATLAS, CSA AICM, EU AI Act.
Assurance and privacy regimes that map across one another: NIST 800-53, FedRAMP, HIPAA, GDPR.
Standards, mapped to the three commitments
A consolidated view of the frameworks we work in, grouped by the commitment they serve.
| Commitment | Focus | Frameworks & standards |
|---|---|---|
| Integrating Governance | AI & security management systems, risk governance | NIST AI RMF (AI 100-1) ISO/IEC 42001 ISO/IEC 27001 SOC 2 NIST CSF 2.0 |
| Validating Defense | Threat models, adversarial testing, AI control overlays | OWASP Top 10 for LLM & GenAI OWASP Agentic Security MITRE ATT&CK MITRE ATLAS CSA AICM v1.0 NIST AI 600-1 (GenAI Profile) NIST COSAiS overlays |
| Securing Trust | Assurance, compliance, data protection & privacy | NIST 800-53 FedRAMP FIPS 200 / 140 HIPAA / HITRUST GDPR EU AI Act |
Threat-modeling frameworks we apply
We choose the right lens for the system — extending classic models with AI-specific ones for agentic architectures.
MAESTRO
A layered threat-modeling approach for agentic AI: it focuses on multi-agent and environment interactions, builds security into every layer of the architecture, and adds AI-specific threats such as adversarial ML and autonomy risk — all under a risk-based, continuously-monitored model.
STRIDE
Classic spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege analysis.
PASTA
A risk-centric, attacker-simulation methodology that ties threats to business impact.
LINDDUN
A privacy-focused threat model surfacing linkability, identifiability, and disclosure risks.
OCTAVE
An organizational, operations-driven approach to evaluating and managing security risk.
MITRE ATLAS
A knowledge base of real-world adversary tactics and techniques against machine-learning systems.
See how framework alignment becomes a concrete engagement.
We translate any of these frameworks into a prioritized, business-ready roadmap.
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