Secure Audit-Ready AI Agent Orchestrator for Your Enterprise

Secure, Audit-Ready AI Agent Orchestrator for Your Enterprise

GenAI Is Here — But So Are the Risks

Check out Demo

Generative AI is rapidly transforming workplaces worldwide—but in the race for productivity, many organizations are overlooking a critical threat: compliance failure. With laws such as HIPAA, GDPR, SEC 17a-4, SOX, CJIS and more dictating strict mandates around data privacy, retention, and auditability, enterprises that allow uncontrolled Generative AI usage are risking multimillion-dollar penalties and regulatory scrutiny.

According to Gartner, in next five years, 70% of enterprises will integrate Generative AI into everyday workflows, yet only 25% will have the governance frameworks needed to ensure compliant and auditable use. This means organizations are scaling AI before securing it—and that’s a recipe for disaster.

CIOs and CISOs face a grim paradox: powerful AI tools like ChatGPT and Claude increase team velocity but also enable unsanctioned data sharing. These tools often lack:

Usage logs or traceability of prompts and responses

Retention or redaction controls for sensitive data

Role-based access or governance policies

Visibility into model outputs that could trigger compliance flags

Violations are no longer theoretical

GDPR can impose fines of €20 million or 4% of annual global turnover, whichever is higher
HIPAA breaches can cost up to $1.5 million per violation category per year
SEC 17a-4 mandates WORM-compliant logs of all business communications
SOX and CJIS require immutable, role-controlled audit trails

Without proper oversight, Generative AI becomes a shadow channel that leaks IP, violates privacy laws, and erodes enterprise trust. The most alarming part? There are no logs. Once submitted, LLM prompts and responses are unrecorded and unrecoverable—leaving IT, legal, and compliance teams blind.

This is not just a technical shortcoming—it’s a regulatory hazard. And in verticals like finance, healthcare, and public safety, it’s already becoming a reason to halt Generative AI adoption altogether.

It’s clear: enterprises need more than innovation. They need secure, compliant, and IT-governed orchestration for AI tools. This webpage introduces the solution— AI Agent Orchestrator —designed to deliver GenAI agility without sacrificing visibility, trust, or control.

Rise in Generative AI Adoption Across Global Workforces

Generative AI is no longer a futuristic concept—it’s now embedded across modern enterprises. Whether sanctioned or not, AI models like ChatGPT, DeepSeek, Claude, and Gemini are already playing critical roles in core workflows across departments.

85%

of enterprise employees

are using GenAI tools for work-related tasks, with or without formal approval (PwC GenAI Pulse Survey)

60%

of IT executives

report that GenAI is being accessed in their organization without centralized controls (McKinsey)

By 2027

more than 40%

of AI-related data breaches will be caused by the improper use of generative AI across borders,” according to Gartner, Inc.

– Gartner Press Release, “Gartner Predicts 40% of AI Data Breaches Will Arise from Cross-Border GenAI Misuse by 2027,” February 17, 2025.

Unmonitored Access Creates Two Blind Spots : Data Leakage and Compliance Gaps

Blind Spot 1: Data Leakage

Despite GenAI’s transformative potential, most enterprise usage today remains outside the guardrails of formal IT governance.

Employees frequently copy and paste sensitive data into public LLMs—without understanding the implications of data leakage or risks.

No redaction or DLP controls on inputs (e.g., PII, PHI, customer financials)
Prompts can contain confidential documents, legal case summaries, or client strategies
Outputs may be reused in emails, reports, or public presentations—without tracking origin or accuracy

The result: inadvertent leaks of proprietary and regulated information into models operated by third-party vendors—where the data may be retained, retrained, or even exposed through future prompts.

Shadow AI

Blind Spot 2: Compliance Gaps

Regulatory bodies are ramping up enforcement, and enterprises using GenAI without visibility or controls are entering dangerous territory.

In many organizations, employees unknowingly share proprietary or sensitive information with public AI models. These exchanges are often retained by third-party vendors for extended durations—sometimes beyond 90 days—without any organizational oversight.

Without clear audit logs, control over where data resides, or mechanisms to govern usage, companies face elevated exposure to non-compliance and legal consequences.

No logging of GenAI queries or outputs for audit trails

Lack of retention or versioning for generated content

No enforceable access policies by role, department, or region

No alerts or anomaly detection on risky prompts or prohibited topics

This puts organizations at odds with major compliance mandates like:

HIPAA (Health data sharing without recordable trail)

GDPR (Data processing without user consent or ability to delete)

SOX & CJIS (Lack of system logging and auditability)

SEC 17a-4 (No WORM-compliant retention of business communications)

The Challenge

The Cost of Losing Control

What’s Missing in Most Enterprises Today?

No central visibility into GenAI prompts or outputs
Zero logging, retention, or traceability
No role-based access or usage limits
Unsustainable seat-based AI licensing

Unmonitored GenAI usage can breach laws, leak IP, and trigger millions in fines. The solution isn’t to restrict Generative AI—it’s to enable it securely with policy, logging, and control.

Introducing AI Agent Orchestrator

Secure, Compliant, and Centralized GenAI Control

Streebo, a leading Digital Transformation & AI Company, has introduced the AI Agent Orchestrator solution, a secure GenAI access gateway designed specifically for enterprise needs, this solution consolidates access to multiple LLMs—such as Microsoft Copilot Studio & Enterprise GPT, Google Gemini, Amazon Bedrock, and IBM watsonx Orchestrate—while enforcing airtight governance, compliance, and control.

This is not just another GenAI tool—it’s a compliance-first orchestration layer that acts as a smart, policy-driven firewall between your enterprise data and third-party AI models.

Unlike browser plugins or siloed AI assistants, AI orchestration platform routes all interactions through a central, auditable, and controlled environment—ensuring no prompt, response, or user action goes unlogged or unmonitored.

Why It Matters:

Stops Regulatory Violations Before They Happen

Apply SEC 17a-4, HIPAA, GDPR, SOX, and CJIS controls in real-time.

One Gateway. Any Model. Any Department

Access LLMs across vendors with unified security, no vendor lock-in.

IT-Centric Deployment

Designed for IT, legal, and compliance teams to retain full control of Generative AI usage across the org.

Works Where You Work

Integrated with enterprise systems, identity providers, and collaboration platforms.

From finance and legal to HR, procurement, and sales—AI Agent Orchestrator gives enterprises a secure path to scale Generative AI across the workforce without creating audit nightmares or compliance black holes.

AI Agent Orchestration Architecture

Built for Enterprise Trust & Compliance

The AI orchestration and automation platform is not just a security layer—it is the central nervous system for all Generative AI activity within the enterprise. Designed with compliance, auditability, and enterprise scalability in mind, it governs every user interaction with AI tools through a unified, policy-enforced architecture.

This orchestrator architecture ensures that AI adoption across departments remains safe, controllable, and fully visible to IT and compliance teams—without disrupting end-user workflows or restricting innovation.

Here’s how the architecture works, layer by layer

01

Enterprise Authentication & Role Control

Integrated with LDAP, Active Directory, and SAML for seamless authentication. Role-Based Access Control (RBAC) ensures users only access permitted GenAI tools based on their job function or department.

02

Multi-Model Access, Centralized Control

Users get secure access to multiple Generative AI platforms like IBM watsonx Orchestrate, Microsoft Copilot & Enterprise GPT on Azure, AWS Bedrock, and Google Gemini/Vertex AI—through a single interface. IT defines usage policies, model preferences, and routing without limiting innovation.

03

Secure Storage for Prompts & Outputs

All Generative AI interactions (prompts and outputs) are stored in WORM-compliant, encrypted NoSQL databases. This ensures complete auditability, regulatory retention, and content integrity.

04

DLP, Redaction & Logging Layer

Built-in Data Loss Prevention (DLP) scans inputs/outputs in real time, redacts sensitive data, and logs every interaction. This enables audit readiness and incident tracing.

05

Real-Time Monitoring & Alerts

The system continuously monitors for anomalies, risky prompts, or compliance breaches. Admins receive alerts and can enforce blocks or escalate reviews instantly.

This architecture ensures every GenAI interaction is secure, observable, and fully governed from end to end—turning potential blind spots into control points.

Key Differentiators of the Agentic AI Orchestration

Enterprise-Ready, Globally Compliant

Generative AI is reshaping productivity, but without proper guardrails, it opens a floodgate of legal and security concerns. The AI Agent Orchestrator has been engineered to bridge this gap—offering not just AI access, but enterprise-class governance, compliance, and observability. Here’s how it stands apart from typical LLM interfaces:

The Real Cost Choice for Enterprises

Licenses vs. Orchestration

Option 1

Seat-Based Licensing for Each Platform

To enable GenAI responsibly, an enterprise must ensure

Access to multiple LLMs
Compliance with data privacy laws (HIPAA, GDPR, SOX, CJIS and more)
Full audit trails and access logs
Data storage aligned with retention policies

But here’s the problem — individual licensing models are expensive and fragmented:

You must purchase separate licenses for each GenAI platform.
Then extend those licenses across teams — HR, Legal, Finance, Marketing, and more.
Add-on compliance features often cost extra, and even then, no centralized audit or governance is guaranteed.
Costs scale per seat, not per use, meaning you’re paying even for inactive users.

This approach can quickly become financially unsustainable while still exposing your organization to regulatory risk due to lack of unified control.

Option 2

AI Agent Orchestrator — Unified Access, Usage-Based Pricing

The AI Agent Orchestrator (LLM Agent Orchestration) takes a completely different approach:

Single, Secure Gateway to All Leading LLMs

Users can access IBM watsonx, Azure OpenAI, AWS Bedrock, Google Vertex AI, and others from one interface.
No need to juggle individual vendor agreements, tools, or portals.
Centralized logging, DLP, access control, and storage — all IT-governed.

Pay Only for What You Use

No per-seat licensing—you’re billed on API usage, not number of users.
This model lets you pilot, scale, and manage budgets more predictably.

Business Benefits

01Lower Total Cost of Ownership

Eliminate the need for multiple seat-based licenses—pay only for actual usage across all major LLMs via API-based pricing.

02Full Compliance & Governance

Maintain enterprise-grade control with centralized logging, DLP, audit trails, and role-based access aligned to global regulatory standards.

03Scalable, Flexible AI Adoption

Securely extend GenAI across departments with unified access to IBM watsonx Orchestrate, Azure OpenAI, AWS Bedrock, and more—all under IT’s oversight.

Start Now – Scale Securely

For enterprises seeking a ChatGPT alternative or Microsoft Copilot Studio alternative that aligns with compliance and budget goals, the AI Agent Orchestrator offers a centralized, secure interface to multiple GPT alternatives with lower cost. Whether your teams prefer Google Gemini, DeepSeek, or other AI tools for business automation, the orchestrator enables seamless access under IT governance. This flexibility not only ensures regulatory alignment but also eliminates vendor lock-in while keeping costs predictable and tied to actual usage.

Unlock the full power of Generative AI without sacrificing compliance, visibility, or budget control. Deploy the AI Agent Orchestrator today — your enterprise-wide, regulation-ready gateway to secure multi-LLM access.