Secure, Audit-Ready AI Agent Orchestrator for Your Enterprise
GenAI Is Here — But So Are the Risks
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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
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GDPR can impose fines of €20 million or 4% of annual global turnover, whichever is higher
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HIPAA breaches can cost up to $1.5 million per violation category per year
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SEC 17a-4 mandates WORM-compliant logs of all business communications
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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.
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No redaction or DLP controls on inputs (e.g., PII, PHI, customer financials)
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Prompts can contain confidential documents, legal case summaries, or client strategies
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Outputs may be reused in emails, reports, or public presentations—without tracking origin or accuracy
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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
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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.
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No logging of GenAI queries or outputs for audit trails
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Lack of retention or versioning for generated content
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No enforceable access policies by role, department, or region
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No alerts or anomaly detection on risky prompts or prohibited topics
This puts organizations at odds with major compliance mandates like:
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HIPAA (Health data sharing without recordable trail)
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GDPR (Data processing without user consent or ability to delete)
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SOX & CJIS (Lack of system logging and auditability)
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SEC 17a-4 (No WORM-compliant retention of business communications)
The Challenge
The Cost of Losing Control
What’s Missing in Most Enterprises Today?
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No central visibility into GenAI prompts or outputs
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Zero logging, retention, or traceability
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No role-based access or usage limits
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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:
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Stops Regulatory Violations Before They Happen
Apply SEC 17a-4, HIPAA, GDPR, SOX, and CJIS controls in real-time.
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One Gateway. Any Model. Any Department
Access LLMs across vendors with unified security, no vendor lock-in.
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IT-Centric Deployment
Designed for IT, legal, and compliance teams to retain full control of Generative AI usage across the org.
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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
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:
01
Unified Governance Gateway for Enterprise-Wide GenAI Use
Unlike fragmented team-specific implementations, the orchestrator acts as a single entry and exit point for all Generative AI interactions across the organization. It centralizes governance, policies, and visibility—ensuring consistent control regardless of the model or use case.
02
Multi-Model Compatibility Without Lock-In
Organizations can securely route requests across leading foundation models like IBM watsonx Orchestrate, Microsoft Copilot Studio, Azure OpenAI, AWS Bedrock, Google Vertex AI, and open-source models like Mistral, Cohere, and LLaMA—depending on the task, region, or sensitivity. No vendor lock-in. No retooling required.
03
Granular Role-Based Access Control (RBAC) with Full Context Awareness
Access permissions are no longer one-size-fits-all. Enterprises can define rules based on job roles, seniority, geography, department, or project. Authentication integrates with enterprise identity providers like LDAP, Active Directory, and SAML for seamless onboarding and policy enforcement.
04
Immutable Audit Trails Aligned with Global Regulations
All GenAI activity—prompts, responses, redactions, access history—is captured in WORM-compliant, encrypted NoSQL storage. These immutable logs support global mandates like:
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SEC 17a-4 (U.S.) – Record retention for financial comms
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HIPAA (U.S.) – Auditability for protected health data
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GDPR (EU) – Traceability and the right to erasure
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SOX (Global public companies) – Integrity of financial systems
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CJIS (U.S.) – Law enforcement data protections
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PIPEDA (Canada), LGPD (Brazil), PDPA (Singapore), and others
05
Built-In DLP, Redaction & Retention Management
The orchestrator features enterprise-grade Data Loss Prevention (DLP) systems that inspect every prompt and output in real time, scanning for:
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Personally Identifiable Information (PII)
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Protected Health Information (PHI)
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Confidential business data
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Source code, IP, or legal text
Risky inputs are automatically redacted or blocked, and outputs are retained per organizational retention policies.
06
Consent, Retention, and Deletion Controls
In line with GDPR, HIPAA, and other global privacy mandates, the orchestrator ensures
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Explicit user consent for AI tool usage
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Retention schedules based on policy, not vendor defaults
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Full support for data erasure requests
This prevents unauthorized processing of user or customer data and reduces regulatory exposure.
07
Transparent Usage Journals for Legal & Business Review
Every GenAI interaction is logged with detailed metadata:
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User identity
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Prompt and output
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Model used and response confidence
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Redaction applied
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Purpose tag (e.g., HR request, legal summary, code generation)
These journals support not just IT compliance but also legal defensibility, business process audits, and cross-department reviews.
08
Omnichannel Enablement, Unified Control
The orchestrator supports GenAI access from:
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Browser-based apps
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Internal portals
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Slack, MS Teams, and enterprise messaging platforms
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APIs and DevOps tools
Regardless of how GenAI is used, all activity flows through the same policy, logging, and retention stack—ensuring consistent enterprise-wide compliance.
09
Deployment Flexibility: Public Cloud, Private Cloud, or On-Premise
Whether operating in a highly regulated sector or dealing with national data sovereignty laws, the orchestrator adapts. It can be deployed on:
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Major public clouds (AWS, Azure, IBM, GCP)
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Private data centers
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Hybrid models with on-premise storage and cloud models
You retain complete control over where your data resides and how it is processed.
10
Always Audit-Ready by Design
This isn’t an afterthought—it’s a default. The orchestrator satisfies core requirements for:
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Immutable logging (for financial and legal records)
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Retention timelines (industry-specific rules)
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Data provenance (where outputs came from)
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Access restriction (per department, use case, or location)
You retain complete control over where your data resides and how it is processed.
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
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Access to multiple LLMs
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Compliance with data privacy laws (HIPAA, GDPR, SOX, CJIS and more)
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Full audit trails and access logs
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Data storage aligned with retention policies
But here’s the problem — individual licensing models are expensive and fragmented:
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You must purchase separate licenses for each GenAI platform.
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Then extend those licenses across teams — HR, Legal, Finance, Marketing, and more.
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Add-on compliance features often cost extra, and even then, no centralized audit or governance is guaranteed.
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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
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Users can access IBM watsonx, Azure OpenAI, AWS Bedrock, Google Vertex AI, and others from one interface.
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No need to juggle individual vendor agreements, tools, or portals.
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Centralized logging, DLP, access control, and storage — all IT-governed.
Pay Only for What You Use
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No per-seat licensing—you’re billed on API usage, not number of users.
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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.

