Insight71
RUNTIME CONTROL / ONLINE
ENTERPRISE AI GOVERNANCE
The Runtime Governance Layer for Enterprise AI Agents
Insight71 gives enterprises real-time control over what AI agents access, why they’re accessing it, and what actions they take — closing the governance gap that legacy IAM, RBAC, and data governance tools were never built to cover.
Talk to Us
POLICY ENFORCEMENT
VERIFIED
Agent request intercepted
data.read • financial_reporting
REQ-071
Policy evaluated at runtime
least privilege • purpose verified
ALLOW
IMMUTABLE AUDIT TRAIL
agent boundary
CONTROL POINTS ACROSS THE AGENT RUNTIME
THE GOVERNANCE GAP
01 / PRODUCTION RISK
AI Agents Broke Governance
UNCONTROLLED DATA ACCESS
SENSITIVE DATA LEAKAGE
UNSAFE AUTONOMOUS ACTIONS
Enterprises can build AI agents. They can’t yet govern them safely in production. Existing controls — RBAC, IAM, data governance — were built for humans and traditional software, not autonomous agents operating at runtime. As AI agents gain access to enterprise data, call APIs, and take actions across critical systems, most organizations have no real-time layer to see what an agent is querying, why it’s using that data, or what it’s about to do. The result: uncontrolled data access, sensitive data leakage, and unsafe actions — with no clear line from data → prompt → response → action to support compliance and board-level risk oversight.
THE MISSING CONTROL: REAL-TIME CONTEXT AND ACCOUNTABILITY
THE RUNTIME LAYER
Runtime Governance for AI Agents
Insight71 sits at the runtime layer between AI agents and enterprise systems, giving security, risk, and compliance teams the control and audit trail they need to approve AI for production.
01
ACCESS
Real-time access control
Govern exactly what data and systems an agent can reach, as it happens.
02
POLICY
Dynamic policy enforcement & redaction
Enforce purpose-based access and strip sensitive data in real time.
03
ACTION
Unsafe-action prevention
Block unauthorized or out-of-policy actions before they execute.
04
AUDIT
Full provenance & auditability
A complete, traceable record from data to decision to action.
HOW IT WORKS
Control at the point of action.
AI AGENT
→
INSIGHT71
→
ENTERPRISE SYSTEMS
1
ROUTE
Every agent action routes through Insight71’s policy engine.
2
ENFORCE
Policies enforce purpose-based access, redact sensitive data, and block unsafe actions — in real time.
3
LOG
Every decision is logged for full traceability and audit.
USE CASES
Built for Regulated, High-Stakes Environments
FINANCIAL SERVICES
Banking & Financial Services
AI agents handling customer queries, fraud checks, and loan approvals while sensitive financial data stays protected and auditable.
RUNTIME GOVERNANCE
HEALTHCARE
Healthcare & Hospitals
AI agents retrieving patient records and clinical data with controlled access, redaction, and full compliance logging.
RUNTIME GOVERNANCE
INSURANCE
Insurance Claims Processing
AI agents reviewing policies, claims, and documents without exposing sensitive customer information.
RUNTIME GOVERNANCE
FINANCE
Enterprise Finance Copilot
AI agents analyzing revenue, budgets, and vendor payments with role- and purpose-based data access.
RUNTIME GOVERNANCE
HUMAN RESOURCES
HR & Employee Assistant
AI agents answering payroll, leave, and policy queries while protecting confidential HR records.
RUNTIME GOVERNANCE
WHY NOW
MARKET INFLECTION / 2026
Why Now
AI agents are moving from pilots into production across every major enterprise function. As they do, governance has to expand from static, data-at-rest controls into real-time runtime security, redaction, risk control, and auditability. Enterprises are already starting to buy dedicated platforms for this — Insight71 enters through governance and expands into core AI infrastructure.
FROM STATIC CONTROLS TO RUNTIME ASSURANCE
THE DIFFERENCE
Insight71 Controls Agent Behavior at Runtime
CATEGORY
WHAT IT DOES
WHAT IT MISSES
Agent-building platforms
Build and deploy AI agents
No runtime control
Guardrail tools
Protect prompts and outputs
No system-level action control
IAM / RBAC
Manage static permissions
Not built for autonomous, dynamic behavior
Governance tools
Control data at rest
No visibility once an agent is acting
Insight71
Controls agent behavior at runtime
—
Built for AI agents.
Works across platforms and clouds.
Full audit and traceability.
Enterprise-grade from day one.
ABOUT / LEADERSHIP
Founding Team
SA
Saqer Almenhali
Co-Founder
[TITLE] at the Ministry of Culture’s Strategy Office. Previously Associate Vice President in Aldar’s GCEO Group Office, managing strategic partnerships with government and non-government entities, and before that led Emirati affairs and protocol at the Department of Municipalities and Transport’s chairman’s office for six years. Holds a Master’s in Diplomacy.
BUILDING TRUSTED AI INFRASTRUCTURE
VA
Vikas Ahuja
Co-Founder
25+ years building and scaling technology and international businesses, including seven years managing equities trading systems at Goldman Sachs in London. Founded and grew an India-based export house into a supplier for global retail brands including Zara, GAP, and Esprit, before moving into emerging technology — most recently as CEO of an AI-driven Web3 company that scaled a consumer app to 50,000 users in three months.
BUILDING TRUSTED AI INFRASTRUCTURE
SA
Sahen Ahuja
Co-Founder
First-class Accounting & Finance graduate from the University of Warwick, with prior experience in JPMorgan Chase’s Corporate & Investment Banking division in London. Co-founded a Web3 startup in 2022 that raised outside capital and crossed $200K in revenue within six months, before co-founding SustainInsight in 2023, which was selected and funded by Startupbootcamp, Europe’s leading accelerator.
BUILDING TRUSTED AI INFRASTRUCTURE
READY FOR PRODUCTION
Put runtime governance in place before your agents scale.
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Insight71 — Runtime Governance for AI Agents
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