Securing AI. Protecting Trust.

The trust layer for enterprise AI.

Snypera AI helps regulated enterprises discover, assess, govern, enforce, and prove control over the people, applications, data, models, and agents behind AI adoption.

Enterprise AI surfaces

People
AI applications
Data
Models
Agents

Snypera AI control plane

1Discover
2Assess
3Govern
4Enforce
5Prove

Trust outputs

Risk posture
Policy control
Audit evidence
Workforce attestation

Discover → Assess → Govern → Enforce → Prove across people, applications, data, models, and agents.

The Enterprise AI Control Gap

AI adoption has outrun enterprise control.

Employees are adopting AI tools before policy catches up. Sensitive information can move through prompts and uploads without adequate visibility. AI applications are proliferating faster than review processes, while autonomous agents introduce new questions about identity, authority, approvals, and accountability.

Shadow AI

AI applications and assistants can enter the enterprise before security, procurement, and risk teams have reviewed them.

Sensitive data exposure

Prompts, uploads, meeting notes, source code, and business documents can carry confidential or regulated information.

Agentic risk

AI agents may retrieve, write, approve, send, or act across business systems without adequate pre-action controls.

Evidence fragmentation

Policies, training records, application inventories, risk assessments, and audit evidence often sit in disconnected systems.

One company. Three connected motions.

From understanding risk to continuously controlling it.

Academy

Build AI literacy that can be evidenced.

Role-based programs help employees, leaders, boards, DPOs, legal teams, engineers, HR, and security teams understand AI capabilities, risks, responsibilities, and safe operating practices.

Explore Snypera AI Academy

Advisory

Turn uncertainty into a prioritized action plan.

Snypera AI helps organizations assess AI adoption, data exposure, governance maturity, regulatory readiness, agentic risk, and the controls required to move forward responsibly.

Explore Snypera AI Advisory

Platform

Move from periodic readiness to continuous control.

The Snypera AI platform is designed to unify AI discovery, risk posture, application governance, policy enforcement, agent controls, and evidence across the enterprise AI estate.

Design partner previewExplore the Snypera AI Platform

The Snypera AI Control Plane

One operating layer across the enterprise AI estate.

Inputs

  • Users
  • AI applications
  • Data
  • Models
  • Agents

Control plane

01Discover
02Assess
03Govern
04Enforce
05Prove

Outcomes

  • A continuously updated AI inventory
  • Risk and posture visibility
  • Policy and approval workflows
  • Security controls
  • Audit-ready evidence
  • Literacy and attestation records

Point solutions secure individual slices of AI. Snypera AI is designed to connect the slices into a single, defensible trust layer.

Two sides of enterprise AI trust

Secure the AI you adopt. Govern the AI that defends you.

Security for AI

Core focus

Protect the models, prompts, data, applications, and agents used across the enterprise.

  • AI security posture management
  • Shadow AI discovery
  • Prompt and data leakage protection
  • AI application governance
  • Agent identity and action controls
  • Governance and evidence

AI for Security

Governed adjacency

Apply AI to security operations while preserving oversight, accountability, and human control.

  • Governed alert triage
  • Detection and threat-hunting assistance
  • Human-approved response workflows
  • Compliance evidence automation
  • Analyst productivity
  • Continuous testing and evaluation

Snypera AI is the governance and control layer around enterprise and security AI - designed to work alongside your existing security stack, not to replace it.

A practical path to trusted AI

Start with visibility. Progress to continuous control.

  1. 1

    Discover

    Map AI applications, models, users, agents, data flows, and current governance practices.

  2. 2

    Assess

    Identify exposure, maturity gaps, policy weaknesses, and regulatory obligations.

  3. 3

    Govern

    Define ownership, approval workflows, usage policies, and control requirements.

  4. 4

    Enforce

    Apply technical controls, human approvals, safe-use guidance, and agent restrictions.

  5. 5

    Prove

    Maintain evidence, attestations, control mappings, executive reporting, and audit trails.

Designed for enterprise accountability

Give every stakeholder the visibility they need.

CISO

Understand the AI attack surface, shadow usage, data exposure, and control gaps.

DPO, Legal and GRC

Connect AI use to privacy obligations, policies, control ownership, and evidence.

AI CoE and Product Leaders

Move from experimentation to governed enterprise deployment.

Board and Executive Leadership

See AI adoption, risk posture, accountability, and remediation priorities in business terms.

HR and Learning Leaders

Deliver role-based literacy and maintain evidence of participation and attestation.

Built for organizations where trust and governance are not optional.

Banking, financial services, and insurance
Fintech and non-banking financial companies
Global capability centers
Healthcare and pharmaceuticals
Regulated SaaS and technology providers

Mapped to recognized standards

Turn frameworks into operational controls and evidence.

ISO/IEC 42001
NIST AI RMF and GenAI Profile
OWASP Top 10 for LLM Applications
OWASP Agentic AI guidance
MITRE ATLAS
EU AI Act
India DPDP Act and Rules
RBI FREE-AI
CERT-In Directions

Framework mappings support readiness, governance, and evidence collection. They do not constitute legal advice, certification, or a guarantee of compliance.

The Snypera AI Trust Library

Practical thinking for the enterprise AI era.

Field guides

Practical, operational manuals for enterprise AI trust.

Research

Deeper analysis on governance, privacy, and control.

Checklists

Structured, repeatable steps for common workflows.

Executive briefings

Board and leadership-level orientation.

AI security insights

Field notes on shadow AI, agents, and exposure.

Governance playbooks

Turning obligations into operating models.

Field GuidesComing Soon

Why Enterprise AI Fails, and What to Do About It

A practical look at where enterprise AI adoption breaks down, and how visibility, governance, and control change the outcome.

Field GuidesComing Soon

The Enterprise AI Security Operating Manual

An operating manual for securing the people, applications, data, models, and agents behind enterprise AI.

BriefingsComing Soon

AI Literacy for the Regulated Enterprise

How to build role-based AI literacy that can be evidenced across employees, leaders, boards, and technical teams.

ResearchComing Soon

Privacy by Design in the Age of GenAI

Applying privacy-by-design principles to prompts, uploads, and AI-assisted workflows in regulated environments.

Snypera AI Signal

Subscribe to Snypera AI Signal

Research, practical guidance, regulatory analysis, and field notes on enterprise AI security, governance, and trust.

Build AI adoption on a foundation of trust.

Start with an executive briefing, a readiness assessment, an enterprise literacy program, or a design partner conversation.