Flowpoint for CISOs - Governing Agentic Operations

The Shadow AI Problem

Your organization wants AI agents. You need to prevent the security nightmare.

The Risk You're Managing

AI Agents are being built across your organization right now. Developers are deploying them to automate workflows, process customer data, and make business decisions. But:

Agents can hallucinate and send incorrect data to production systems
A rogue agent can exfiltrate PII to external APIs
You have no visibility into what agents are doing
One prompt injection can compromise your entire data pipeline

This is Shadow AI—the uncontrolled deployment of AI agents outside your governance framework. If you block it entirely, the business goes around you. If you allow it without controls, you're exposed.

Flowpoint: Infrastructure for Governed Agentic Operations

Flowpoint is the platform that makes Agentic Operations safe for the enterprise. We provide a contained, governed environment where AI agents live and work under your control.

Zero-Trust Architecture for AI Agents

Containment: Agents run in network-isolated containers. A compromised agent can't traverse your network or access systems outside its defined boundaries.

Guardrails: All access is locked behind PAM (Privileged Access Management). Outbound traffic is filtered through a strict proxy whitelist. Agents can only call pre-approved external services—not "any API on the internet."

Sovereignty: Deploy powerful AI models locally (like Llama) so agents function without ever touching the public internet. For classified or highly sensitive environments, run completely air-gapped.

Audit Trail: Every agent action is logged with full context—who created it, what data it accessed, which APIs it called, and when. Your auditors get complete visibility.

Give The Business What It Wants. Give Yourself The Kill Switch.

The business gets autonomous AI agents that increase efficiency. You get:

Containment: Agents can't escape their security boundaries
Visibility: Complete audit trail of every agent action
Control: Proxy whitelist, network isolation, PAM enforcement
Compliance: SOC 2 and ISO 27001 ready out of the box
Kill switch: Disable agents instantly if needed

Schedule Security Briefing Get Architecture Diagram

Security Architecture

Network isolation: Agents run in separate security zones
Zero external access: Database layer has no internet connectivity
Proxy whitelist: Agents only call approved domains
PAM enforcement: MFA, RBAC, session recording

Governance Controls

Complete audit trail: Every agent action logged with context
Separation of duties: No single user has unrestricted access
Time-limited privileges: Sensitive access auto-expires
Granular RBAC: Separate roles for builders, operators, security teams

Data Sovereignty

Local AI models: Deploy Llama, Mistral, or other models on-premise
No cloud dependency: Agents work without external API calls
Air-gap capable: Run completely offline for classified environments
Your infrastructure: Deploy on your cloud or data center

Compliance Ready

SOC 2 controls: Pre-configured for audit readiness
ISO 27001: Meets requirements out of the box
STRIDE validated: Threat model documentation included
Architecture diagrams: Complete documentation for auditors

How It Works

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1. Contain

Agents run in network-isolated containers. Each component (automation, data store, AI agents) operates in separate security zones. A compromised agent can't traverse your network.

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2. Control

Proxy whitelist enforces which external services agents can access. PAM layer requires MFA and logs all access. RBAC separates permissions between developers, operators, and security teams.

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3. Monitor

Complete audit trail captures every agent action—what data was accessed, which APIs were called, who approved the workflow. You have full visibility and the kill switch.

Govern Agentic Operations Without Blocking Innovation