Use AI securely.Govern every decision.
PASBAN Enterprise AI Security and Governance Platform makes enterprise AI secure and governable from one platform: it protects sensitive data and models, detects prompt injection and agent risks, and governs access, policy, cost and evidence on the same structure.
Unmanaged AI creates security, compliance and cost risk.
AI usage can move beyond enterprise boundaries: sensitive data, source code and secrets can reach a model; unapproved agents and MCP connections can create risk; and who used which model, when, can stay invisible.
Personal data, source code, trade secrets and API keys are sent to models to summarise or debug.
Prompt injection, unapproved MCP connections and unauthorised agent actions create security and compliance risk.
Who accessed which model with which data and when, per-unit spend and audit evidence are not held in one place.
PASBAN brings security and governance risk under control in one platform.
It protects sensitive data, models and agents; centralises policy; and makes cost and audit evidence visible in the same structure.
Sensitive data is protected before it reaches the model
PII, source code, trade secrets and credentials are detected; masked, blocked or routed according to policy.
Model, agent and tool risks are bounded
Prompt injection, unapproved MCP connections and unauthorised agent actions are detected; access is tied to an authority envelope and human approval.
Policy, cost and evidence come together
Central policy, inventory, budget and audit logging make every AI interaction traceable and auditable.
One platform for AI security and governance, not disconnected tools
DLP, CASB, prompt security, observability and FinOps tools answer different questions for different teams, and each produces its own rules, its own logs and its own reports. PASBAN Enterprise AI Security and Governance Platform unifies security and governance controls into one policy layer, and every new module connects to the same structure.
Every tool has its own rule set, log format and report. Data masked by one tool for a user stays exposed in another channel, and the audit never produces a single picture.
Define a central policy set per user, unit and role, and manage data protection, model access, tool authority and budget from the same place. Whichever module you add, it follows the same policy and writes to the same audit log.
Data protection, threat detection, access, model and budget rules are defined once, and every module applies the same decision.
Who used which model with which data, and when, is answered from one timestamped record.
Start with the PASBAN Gateway module, then add the other modules to the same platform. A new module is not a new silo.
Scope expands per module, the platform and the record format stay the same.
Platform modules that grow on one structure
AI usage is growing from employee chats to application integrations and always-on agents. PASBAN Enterprise AI Security and Governance Platform governs that growth on the same structure: first usage control, then inventory, agents and workspaces.
Modules work together on one platform. An organisation that starts with the PASBAN Gateway module does not switch platforms; it adds modules to the same platform.
One loop: discover, protect, govern, prove.
Every platform module connects to the same structure. Whichever module is in play, every AI interaction passes the same security and governance controls.
Models, applications, MCP connections and agents are collected in one inventory, along with who can reach which tool.
Personal data, secrets and source code are protected; prompt injection, unsafe output and model/agent/MCP risks are detected and blocked.
Central policy, access, approvals, budget and model routing are enforced. If a decision cannot be made, the default is to block (fail-closed).
Every decision is written to a timestamped audit log; compliance evidence is exported to SIEM and OpenTelemetry.
Security and governance capabilities shared by every platform module
Personal data, source code, trade secrets and credentials are detected, then masked, blocked or routed according to policy.
Prompt injection, jailbreak and unsafe output attempts are detected; model access and output filtering follow policy.
Agent identity, tool authority, MCP connections and runtime isolation are controlled; risky actions require approval or are blocked.
Rules for units, roles, data types, models, tools and budgets are defined once; every module applies the same decision.
Budgets, quotas, rate limits and chargeback per user, unit and module; multi-provider routing follows the same policy.
Every decision is timestamped, exported to SIEM and OpenTelemetry, and turned into evidence for KVKK, GDPR and the EU AI Act.
Security and governance controls stay in your environment.
Policy, data protection, logging and key management run in your environment, and modules are rolled out inside the same deployment. You decide which request goes to which model.
The list is illustrative. Other providers and self-hosted models can be added to routing.
Every team asks a different question, and the security and governance layer is shared.
One platform answers different teams’ security, compliance and cost questions from the same policy and audit trail.
Make shadow AI and AI risk visible
Which unit uses which model, application and agent? Watch data, prompt injection and agent/MCP risks from one pane.
Produce evidence at audit time
Personal data is processed before it reaches the model, and who accessed what and when lands in one audit trail.
Make spend predictable
Budgets and quotas per user, unit and module, automatic stop on breach and chargeback to business units.
Keep working with code, data and agents
Prompts containing source code or customer records are masked, blocked or routed on-prem by policy, and agents run under the same policy.
Supports your compliance process — it does not replace it.
It produces the security controls and audit evidence that help you meet obligations under KVKK, GDPR and the EU AI Act. An independent legal assessment is in progress.
- Detects and masks personal data before the model, reducing data sent to providers abroad.
- Records who accessed what data and when.
- Eases enforcement of retention, deletion and data-residency policies.
- Produces an inventory of models, applications, agents and users, plus traceability records.
- Legal compliance. Data controller obligations remain with your institution.
- Removal of the personal-data status of pseudonymised data. Reversible masking is still personal data processing.
- Accuracy of the model response.
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- ISO/IEC 27001Information Security Management
- ISO/IEC 42001AI Management System
The first questions about the platform.
What is the difference between the platform and the PASBAN Gateway module?
Do we have to enable every module together?
How does it protect against prompt injection and unsafe model behaviour?
How are agents and MCP connections governed?
Does it replace our DLP, CASB or SIEM tools?
Does it work with the AI tools we already use?
Where are logs and data stored?
What happens if the PASBAN Gateway module goes down?
Which deployment options are available?
Which certifications do you have?
Secure your AI rollout and govern it end to end.
In the demo we work through your security and governance scenarios: data protection, prompt injection and agent risks, policy, deployment model and which module to start with.