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Security & governance

Control you can demonstrate.

Ankita Technologees QA AI is built around access control, isolation and traceability. This page describes implemented product controls — it makes no third-party certification or compliance claims.

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Enterprise security

Built for teams that can't compromise on control.

Security posture is a product decision, not a checkbox. Ankita Technologees QA AI ships with access control, isolation and traceability as core primitives.

Role-based accessGranular permissions per project, environment and action.
Multi-tenant architectureWorkspace isolation between organizations and projects.
Audit logsTraceable history of changes, runs and access events.
Environment controlsSeparate configuration and policies per environment.
Secure secretsCredentials stored encrypted and scoped to environments.
AI data controlsConfigurable boundaries for what AI analysis may read.

Ankita Technologees QA AI describes implemented product controls only. No third-party certification or compliance attestation is claimed on this page.

RBACAuditIsolationSecrets

Governance

Workspace-level policy: who can create suites, trigger runs against which environments, and approve release recommendations.

Audit

Immutable event history for access, configuration changes, run triggers and bug state transitions.

Data handling

Evidence retention is configurable per environment. Sensitive values are filtered before AI processing.

AI data controls

AI with boundaries.

Analysis runs on sanitized, minimized evidence. Sensitive values are filtered by the platform before any AI processing step.

Application

Your environments and runs

Test execution happens inside your configured environment.

Controlled data processing

Platform-side filtering
  • Credentials
  • Cookies
  • Tokens
  • Request bodies

These values are excluded from AI processing — they are not sent directly to an external model.

Sanitized / minimized evidence

Only what analysis needs
Status codesError messagesStep timingsRedacted logs

AI analysis

Hypotheses, not verdicts

Produces a probable root cause, a confidence value and a suggested action — always linked back to the evidence used.

Data handling behaviour is configurable per environment. Review your organization's settings before enabling AI analysis on production data.