Context Security for AI

Deploy AI Faster. Without Data Risks

Traditional role-based controls break in Agentic AI, creating security and compliance gaps that stall enterprise AI adoption. Protecto’s CBAC provides zero-trust protection for sensitive data across LLM workflows.

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CBAC: The Zero-Trust Layer for Data in AI

Patchwork fixes like prompt filters, DSPM scans, or redaction can’t stop leaks. Protecto delivers one unified zero-trust layer for AI data.

Zero-Trust Security

Sensitive data stays protected across prompts, retrievals, tool calls, and agents - even against jailbreak-style attacks

Compliance by Design

GDPR, HIPAA, and data sovereignty laws (DPDP, DPDP, etc.) are enforced automatically at the data layer

Holistic Protection

Protects data across the entire AI workflow - ingestion, retrievals, tool calls, and prompts - while preserving accuracy and reasoning

How C-BAC works

Context Based Access Control (C-BAC)

Data Security Built for AI

Traditional RBAC was built for folders and databases. AI data is different - unstructured, free-flowing, and context-driven. That’s why AI needs a new kind of control

Understands AI context

Identifies sensitive data beyond PII - like sales figures, salaries, or other context-specific business data

Retains AI accuracy

Our intelligent masking retains context and keeps AI output accurate

Applies access rules that adapt to meaning

Policy engine enforces policies based on meaning, not just keywords or roles

C-BAC enforcing agent

Enforce complex context-specific rules e.g. “Allow support teams to view customer complaints, but mask product roadmap mentions unless approved.”

Context-Aware

Intelligent

Real-World Use Cases

See how Protecto secures AI across industries and applications

Data Sovereignty for Banks

Helped a leading Middle East bank meet strict data sovereignty laws while safely using public LLMs.

  • Enforced regional data residency rules (PDPL)
  • Masked sensitive customer data before reaching public models
  • Delivered compliance without AI

  • Read the full case study →

    Protecting Patient Privacy

    Enabled patient data for LLM based workflows while ensuring HIPAA Safe Harbor compliance and patient privacy.

  • PHI detection and context-aware masking
  • Patients unmasked only for authorized users
  • Complete audit trails

  • Read the full case study →

    RBAC for Business Confidential Data

    Enabled a global enterprise to control role-based access for internal AI agents. .

  • Protected sales and business-sensitive data in multi-agent workflows
  • Multi-tenant data security policies
  • Applied centralized, role-aware policies across agents and tools

  • Read the full case study →

    Easy to Integrate, Simple APIs

    Protecto is a lightweight API layer with an optional dashboard. Drop-in APIs that protect sensitive data in real time

    1. Integrate

  • Integrate Protecto at any point data enters AI context: prompts, retrievals, agents, or API calls.

  • Connect with IAM (Active Directory) for roles and authentication.
  • 2. Define Policies

  • Set rules on what counts as sensitive and which roles can access it

  • Protecto automatically identifies and masks only sensitive data while preserving meaning
  • 3. Deliver Safe AI

  • AI responds with accurate, compliant outputs

  • Audit APIs and dashboards give full visibility and logs for security and compliance teams
  • Built for Scale

    Enterprise Scale

    Offers multi-tenancy, compliance, and high availability for large scale deployment

    Integration

    Works with LangChain, custom RAG frameworks, API gateways, and model control panes

    Multi-Agent Support

    Secures complex agent workflows and tool calling

    Flexible Deployment

    Run Protecto your way — SaaS for speed, or deploy in your own VPC/on-prem for full control.

    SaaS

    Premises or VPC

    Why Controls Fails in AI — and How CBAC Fixes It

    Why traditional security fails

    Why "Context" matters in AI

    Key Features

    Core capabilities that make Protecto the most advanced AI data security tool

    These are the foundational capabilities that directly prevent data leaks and reduce risk in real time.

    Risk Agent for GenAI

    AI-native, context-aware protection engine.

    Context-Preserving Masking

    Keeps data safe and useful.

    Zero-Trust Policy Enforcement

    Data is masked by default — no exceptions.

    Entropy-Based Tokenization

    Strong anonymization to lower re-ID risk.

    These features let you grow fast, plug into existing workflows, and handle real-world production loads.

    Multi-Tenancy

    Clean separation across org units, customers, or teams.

    Asynchronous & Bulk APIs

    Ideal for high-throughput workloads like RAG and ETLs.

    Seamless Integration

    Works with LangChain, CrewAI, model gateways, etc.

    Flexible Deployment

    SaaS, VPC, or on-prem — your call.

    Everything here ties to visibility, auditability, and regulatory alignment.

    Role-Based Access to Sensitive Information

    Enforce fine-grained identity-based access.

    Data Residency & Compliance

    Keeps AI use compliant with local and org rules.

    Full Auditability

    Track exactly who saw what, and when.

    Trusted by Top Teams

    “Protecto enabled us to deliver data security, privacy, and compliance for our AI features at scale across 3,000+ enterprise clients, strengthening customer trust in our AI automation solutions.”

    Automation-Anywhere - Customer

    SVP Product

    Automation Anywhere

    Secure the Context. Keep the AI Running.

    Protecto gives you full control over the data layer that powers GenAI — without breaking performance or accuracy.