Areebi protects proprietary code and customer data across every AI interaction - from engineering workflows to product AI features. Deploy AI with source code DLP, customer data isolation, and SOC 2 compliance automation built into every workflow.
Your teams adopted AI faster than any other industry. Now proprietary code, customer data, and competitive intelligence flow through ungoverned AI tools across every department.
Engineers paste proprietary source code, architecture diagrams, API specifications, and internal documentation into AI coding assistants daily. A single prompt containing proprietary code can expose trade secrets, customer-facing logic, and security-sensitive implementations to third-party AI providers. With engineering teams adopting AI faster than any other function, the volume of code leakage is staggering.
Support engineers paste customer logs, product teams analyze user behavior data, and sales teams feed CRM data into AI tools. Customer data flows into AI models across every department, often violating the data processing commitments in your SOC 2 reports, customer contracts, and privacy policies. A single customer data breach through AI can trigger contract penalties and churn.
Engineering uses Copilot. Marketing uses ChatGPT. Support uses a custom GPT. Product uses Claude. Every team has adopted different AI tools with different data handling practices, creating an ungovernable sprawl of AI endpoints. Without centralized visibility, security teams cannot assess risk, enforce policies, or respond to incidents across this fragmented AI landscape.
SaaS companies embedding AI features in their products face dual compliance obligations - governing internal AI usage and ensuring product AI features meet customer compliance expectations. SOC 2 auditors, enterprise customers, and regulators increasingly demand evidence of AI governance that most technology companies cannot provide today.
Areebi delivers the technical controls technology companies need to deploy AI at scale without compromising proprietary code, customer data, or compliance posture.
Areebi's DLP engine scans every prompt and response for proprietary source code in real time. Code patterns, API keys, secrets, internal function signatures, architecture references, and proprietary algorithms are automatically detected and classified before reaching any LLM. The engine uses code-aware classification models that understand programming languages, repository structures, and code sensitivity levels - catching proprietary code that generic DLP tools miss entirely.
Explore DLP capabilitiesMulti-workspace architecture creates logical isolation boundaries between teams and data classifications. Customer PII, usage data, and account information are classified and protected by workspace-level DLP policies. Support teams can use AI without exposing customer data to models. Product teams can analyze trends without leaking individual user information. Every boundary is enforced automatically.
See the policy engineGovernance that developers actually use. Areebi integrates with existing developer workflows through IDE extensions, CLI tools, and API endpoints. Policies are enforced transparently in the background - developers get AI assistance without friction, while security teams get complete visibility and control. No context switching, no separate tools, no productivity loss.
Learn about developer integrationAreebi's comprehensive API enables programmatic governance for AI features embedded in your products. Enforce DLP policies on customer-facing AI endpoints, log all AI interactions for SOC 2 evidence, and manage governance rules through infrastructure-as-code workflows. Build governed AI features into your product with the same engineering practices you use for everything else.
View API documentationCentralized administration across unlimited workspaces gives security teams visibility into AI usage across every team. Engineering, support, product, and marketing each operate in governed workspaces with tailored policies. A single dashboard shows AI adoption patterns, policy violations, data classification events, and compliance status across your entire organization.
Explore workspace managementAll capabilities deploy as part of Areebi's unified platform - a single golden image that runs on your infrastructure. See how other industries use Areebi in financial services and healthcare.
Real-world scenarios where Areebi enables engineering and product AI innovation while protecting proprietary code and customer trust.
A Series C SaaS company deploys Areebi to govern AI coding assistant usage across 200 engineers. Developers use AI for code generation, debugging, code review, and documentation. Areebi's DLP engine prevents proprietary source code from leaking to AI providers, the policy engine enforces repository-level sensitivity rules, and the audit log captures every interaction for SOC 2 evidence. The result: full AI coding assistant adoption with zero code leakage incidents.
A B2B SaaS platform uses AI to help support engineers diagnose customer issues, draft responses, and generate internal documentation. These workflows inherently involve customer account data, system logs, and configuration details. Areebi governs every support AI interaction - masking customer PII, enforcing data classification policies, and generating audit documentation that satisfies both SOC 2 requirements and customer DPA commitments.
A platform company embedding AI features into their product deploys Areebi to govern both internal AI usage and customer-facing AI endpoints. The API-first integration enforces DLP policies on all AI interactions, logs every customer AI request for compliance, and provides the governance documentation that enterprise buyers require during security reviews. Product teams ship AI features faster because governance is built into the development workflow.
A technology company with 500 employees manages AI usage across engineering, marketing, sales, HR, and finance. Each department uses AI differently with different data sensitivity requirements. Areebi's multi-workspace architecture gives each team governed AI access with tailored policies, while the security team maintains centralized visibility and control. Shadow AI drops to zero because every team has a governed alternative that meets their specific needs.
Areebi maps to the compliance frameworks that matter most to technology companies, with pre-built templates and automated evidence collection.
Need a framework not listed here? Areebi's policy engine supports custom compliance templates. Read our compliance guides for implementation details.
Answers to common questions from CISOs, engineering leaders, and CTOs evaluating AI governance platforms.
Areebi's real-time DLP engine scans every AI prompt and response for proprietary source code patterns, API keys, secrets, internal architecture details, and customer data. Code snippets are automatically classified and masked based on your repository sensitivity policies before reaching any LLM provider, ensuring proprietary code never leaves your controlled environment.
Yes. Areebi provides API-first integration that works with existing developer toolchains. The platform integrates with IDE extensions, CLI tools, and CI/CD pipelines. Developers get governed AI access through the tools they already use, with governance policies enforced transparently in the background - no workflow disruption.
Areebi's multi-workspace architecture creates logical isolation boundaries between teams. Customer support AI cannot access engineering data. Product AI cannot access customer PII beyond what's explicitly authorized. Each workspace enforces its own DLP policies, access controls, and audit trails, ensuring customer data stays within authorized boundaries.
Absolutely. Areebi provides pre-built SOC 2 compliance templates, automated evidence collection for AI governance controls, and exportable audit reports that map to Trust Service Criteria. Whether you're embedding AI in your product or governing internal AI usage, Areebi generates the documentation auditors need for your SOC 2 Type II examination.
See how Areebi protects proprietary code, isolates customer data, and enables your engineering, product, and support teams to use AI with confidence. Schedule a personalized demo with our technology solutions team.