Why Data Privacy Defines the Future of Enterprise AI

Enterprises want the power of AI — but not at the cost of control.
In industries like finance, healthcare, legal, and manufacturing, privacy isn’t just a checkbox. It’s the foundation of trust.

The problem? Most AI tools today are built for consumers, not corporations. They require uploading sensitive information to external servers or use data to retrain public models. For enterprises handling proprietary or regulated data, that’s a dealbreaker.

That’s why Cohere takes a fundamentally different approach — one that puts data privacy, compliance, and control at the center. And with Promact’s secure implementation layers, businesses can adopt AI confidently, knowing their information stays protected at every stage.

How Cohere Keeps Enterprise Data Secure

Cohere was built with the enterprise in mind. Its architecture ensures that customer data is never used for training, shared, or exposed. Every request made to Cohere’s platform stays within strict boundaries of privacy, encryption, and compliance.

Here’s how it works:

1. Your Data Never Trains the Model

Unlike many public LLMs, Cohere’s foundation models are pre-trained on carefully curated datasets — not customer input.
When an enterprise sends a query or document, the model processes it to generate a response, but that data is never stored or used to improve the model itself.

This means your company’s information stays yours — always.

2. Secure API and Cloud Architecture

Cohere provides enterprise-grade infrastructure with end-to-end encryption for every interaction. All data is encrypted both in transit and at rest.
For organizations with strict data residency requirements, Cohere supports private deployments that keep data within the client’s environment or region.

3. Compliance That Meets Global Standards

Cohere’s systems adhere to leading compliance frameworks like SOC 2, GDPR, and ISO 27001, helping businesses meet their own security obligations effortlessly.
That’s particularly critical for industries managing personally identifiable information (PII), financial data, or healthcare records.

Promact’s Added Security Layers in AI Deployments

At Promact, security isn’t an afterthought — it’s baked into every AI solution we build.
When deploying Cohere-based models for clients, our engineering team adds enterprise-specific protection layers to ensure data integrity and compliance at every touchpoint.

1. Secure Data Pipelines

All information that flows into or out of AI systems is validated, sanitized, and encrypted. Sensitive fields are masked, ensuring that no personal or confidential data is ever exposed to external endpoints.

2. On-Premise or Virtual Private Cloud Options

Promact offers flexible hosting environments. Depending on compliance needs, we can deploy AI solutions fully on-premise or within dedicated VPCs, giving enterprises total visibility and control over their data.

3. Role-Based Access and Audit Trails

Every Promact deployment includes granular access controls and detailed activity logs. That means only authorized users can access AI-powered systems, and every action is traceable for compliance audits.

4. Continuous Monitoring and Incident Response

AI systems aren’t static. Our managed security layer includes ongoing vulnerability scanning, intrusion detection, and proactive response mechanisms — ensuring AI systems remain secure long after deployment.

Why Privacy-First AI Matters for Regulated Industries

In highly regulated sectors, privacy isn’t just about risk management — it’s about reputation and trust.

Finance

Banks and financial firms deal with confidential client data daily. With Cohere’s privacy-first AI, they can automate customer service, summarize reports, and extract insights without exposing private information.

Healthcare

Hospitals and healthcare systems can use AI assistants to analyze clinical data or summarize patient reports — all while staying fully HIPAA-compliant.

Legal and Compliance

Law firms can deploy Cohere-powered search tools to find case references or draft summaries without sharing sensitive legal material outside their secure environment.

In every case, privacy isn’t compromised for performance — it’s strengthened by design.

Building Trust Through Responsible AI

Data privacy isn’t a feature — it’s the foundation for sustainable AI adoption.
Cohere’s technology, combined with Promact’s secure deployment architecture, gives enterprises full control over how their information is accessed, processed, and stored.

That’s what makes this partnership different:
We don’t just build intelligent systems. We build trustworthy ones.