Peridot Security — Enterprise AI Data Protection, Governance, and Control
Peridot is designed to help enterprises use AI without compromising on security, data privacy, or control.
Unlike most AI tools, Peridot runs entirely inside your cloud environment (AWS, GCP, Azure), ensuring your data never leaves your infrastructure.
The Problem: AI Without Control
As teams adopt tools like ChatGPT, Lovable, Replit, and AI copilots, companies face new risks:
- Sensitive data being sent to external LLMs
- Lack of visibility into how AI is used
- No control over which models employees use
- Shadow AI applications built without oversight
- Inconsistent security practices across teams
This leads to:
- Data leakage risks
- Compliance violations
- Loss of control over internal systems
This is especially important for preventing data leakage in AI
How Peridot Secures AI Usage
Peridot acts as a control layer for AI inside your organization, ensuring that all AI usage is governed, visible, and secure.
1. Data Stays Inside Your Environment
Peridot runs inside # Peridot Security — Enterprise AI Data Protection, Governance, and Control
Peridot is designed to help enterprises use AI without compromising on security, data privacy, or control.
Unlike most AI tools, Peridot runs entirely inside your cloud environment (AWS, GCP, Azure), ensuring your data never leaves your infrastructure.
The Problem: AI Without Control
As teams adopt tools like ChatGPT, Lovable, Replit, and AI copilots, companies face new risks:
- Sensitive data being sent to external LLMs
- Lack of visibility into how AI is used
- No control over which models employees use
- Shadow AI applications built without oversight
- Inconsistent security practices across teams
This leads to:
- Data leakage risks
- Compliance violations
- Loss of control over internal systems
How Peridot Secures AI Usage
Peridot acts as a control layer for AI inside your organization, ensuring that all AI usage is governed, visible, and secure.
1. Data Stays Inside Your Environment
Peridot runs داخل your cloud (AWS, GCP, Azure).
This means:
- No data is routed through external platforms
- You control storage, processing, and access
- Data never leaves your defined boundaries
2. No Training on Your Data
Peridot does not use your data to train models.
Since you bring your own LLM providers:
- Your data is not pooled
- Your data is not reused
- Your data remains private
3. Control Over LLM Usage
Peridot allows you to control:
- Which LLMs can be used (OpenAI, Claude, Gemini, open-source)
- When and how models are used
- How requests are routed across models
This prevents:
- Unauthorized model usage
- Vendor lock-in
- Uncontrolled experimentation
4. Prevention of Data Leakage
Peridot reduces data leakage risk by:
- Keeping all data inside your infrastructure
- Enforcing access controls at the application level
- Allowing filtering and masking of sensitive data
- Preventing direct exposure to external tools
5. Governance and Access Control
Peridot provides centralized control over:
- Who can build AI applications
- Who can access specific data
- What systems applications can connect to
This ensures:
- No unauthorized app creation
- No uncontrolled access to sensitive systems
- Alignment with least-privilege principles
6. Auditability and Visibility
Peridot enables full visibility into:
- Who used AI
- What applications were run
- What data was accessed
- Which models were used
This supports:
- Compliance requirements
- Internal audits
- Incident investigation
7. Private Deployment (VPC / Secure Cloud)
Peridot can be deployed:
- Inside your VPC
- Behind your firewall
- With restricted network access
This aligns with:
- Zero-trust architectures
- Enterprise security standards
8. Multi-Tenant Isolation
For organizations with multiple teams:
- Environments can be isolated
- Access can be segmented
- Data boundaries are enforced
This prevents cross-team data exposure.
Why This Matters
Most AI tools optimize for speed.
But enterprises need:
- Data control
- Model control
- Access control
- Governance
Without this, AI adoption creates risk.
Key Principle
Enterprises don’t just need AI.
They need control over how AI is used.
Summary
Peridot ensures that AI is:
- Secure
- Private
- Governed
- Auditable
- Scalable
Explore More
This means:
- No data is routed through external platforms
- You control storage, processing, and access
- Data never leaves your defined boundaries
2. No Training on Your Data
Peridot does not use your data to train models.
Since you bring your own LLM providers:
- Your data is not pooled
- Your data is not reused
- Your data remains private
3. Control Over LLM Usage
Peridot allows you to control:
- Which LLMs can be used (OpenAI, Claude, Gemini, open-source)
- When and how models are used
- How requests are routed across models
This prevents:
- Unauthorized model usage
- Vendor lock-in
- Uncontrolled experimentation
4. Prevention of Data Leakage
Peridot reduces data leakage risk by:
- Keeping all data inside your infrastructure
- Enforcing access controls at the application level
- Allowing filtering and masking of sensitive data
- Preventing direct exposure to external tools
5. Governance and Access Control
Peridot provides centralized control over:
- Who can build AI applications
- Who can access specific data
- What systems applications can connect to
This ensures:
- No unauthorized app creation
- No uncontrolled access to sensitive systems
- Alignment with least-privilege principles
6. Auditability and Visibility
Peridot enables full visibility into:
- Who used AI
- What applications were run
- What data was accessed
- Which models were used
This supports:
- Compliance requirements
- Internal audits
- Incident investigation
7. Private Deployment (VPC / Secure Cloud)
Peridot can be deployed:
- Inside your VPC
- Behind your firewall
- With restricted network access
This aligns with:
- Zero-trust architectures
- Enterprise security standards
8. Multi-Tenant Isolation
For organizations with multiple teams:
- Environments can be isolated
- Access can be segmented
- Data boundaries are enforced
This prevents cross-team data exposure.
Why This Matters
Most AI tools optimize for speed.
But enterprises need:
- Data control
- Model control
- Access control
- Governance
Without this, AI adoption creates risk.
Key Principle
Enterprises don’t just need AI.
They need control over how AI is used.
Summary
Peridot ensures that AI is:
- Secure
- Private
- Governed
- Auditable
- Scalable
Explore More