Mapped to recognized standards
Turn frameworks into operational controls and evidence.
Snypera AI helps operationalize recognized standards and regulations - supporting readiness, governance, and evidence collection across the enterprise AI estate.
ISO/IEC 42001
The management-system standard for artificial intelligence, covering governance, roles, risk treatment, and continual improvement of AI systems.
Supporting verticals
Typical outputs and evidence
Governance operating model, control mappings, risk registers, policy inventory, and structured evidence aligned to management-system expectations.
NIST AI RMF and GenAI Profile
A voluntary framework to govern, map, measure, and manage risks across the AI lifecycle, with a profile for generative AI.
Supporting verticals
Typical outputs and evidence
Risk mapping across govern, map, measure, and manage functions, with posture visibility and prioritized remediation.
OWASP Top 10 for LLM Applications
The most critical security risks for applications built on large language models, including prompt injection and sensitive-data exposure.
Supporting verticals
Typical outputs and evidence
Application review findings, prompt and data-leakage controls, and testing evidence against known LLM risk categories.
OWASP Agentic AI guidance
Emerging guidance on the security risks of autonomous agents, including excessive agency, delegated authority, and unsafe actions.
Supporting verticals
Typical outputs and evidence
Agent inventories, delegated-authority reviews, approval and containment controls, and action logging.
MITRE ATLAS
A knowledge base of adversary tactics and techniques against machine-learning and AI systems.
Supporting verticals
Typical outputs and evidence
Threat-informed testing, adversarial evaluation notes, and detection mappings aligned to documented techniques.
EU AI Act
The European Union's risk-based regulation for AI systems, with obligations that vary by risk classification.
Supporting verticals
Typical outputs and evidence
Use-case classification support, documentation structures, and governance evidence to help operationalize obligations.
India DPDP Act and Rules
India's Digital Personal Data Protection framework governing the processing of personal data.
Supporting verticals
Typical outputs and evidence
Personal-data flow reviews across AI-enabled processes, exposure views, and readiness documentation.
RBI FREE-AI
The Reserve Bank of India's framework for responsible and ethical enablement of AI in the financial sector.
Supporting verticals
Typical outputs and evidence
Governance, oversight, and assurance artifacts translating responsible-AI principles into operational actions.
CERT-In Directions
India's cybersecurity incident-reporting directions, including logging and timely reporting expectations.
Supporting verticals
Typical outputs and evidence
AI-incident visibility, escalation and logging practices, and reporting-preparedness documentation.
Operationalize your framework obligations.
Talk with Snypera AI about aligning your AI adoption to the standards and regulations that matter for your industry.