Audit‑grade governance for AI agents & LLM workflows

Control AI in production — with policies you can prove.

Prunex is a policy governance gateway that sits between your apps, AI agents, tools, and LLMs. Enforce versioned policies in real time (allow / block / redact / observe) and export audit‑ready evidence.

Request a pilot See how it works

Runtime enforcement

Policies applied at the moment data moves — not just in documents or best‑effort prompts.

Evidence by default

Immutable logs, policy versions, and human‑readable decisions for audit and oversight.

Prunex Gateway observe → enforce

Internal apps copilots, workflows

Prunex policy + evidence

Agents & tools LLMs, RAG, APIs

Multi‑format inspection — text, tables/CSV, files, and code.

Deterministic controls + AI models — catch semantic risk and policy violations.

Audit exports — evidence mapped to regulatory and in‑house policies.

PII/PHI protection Ethics & discrimination detection Agent‑to‑agent controls

The problem

Enterprises are deploying LLMs and AI agents fast — but governance, compliance, and auditability haven’t caught up.

Regulated environments need proof

Sensitive data moves across tools

AI agents pull from internal systems, documents, and knowledge bases. Without controls, data can leak through prompts, tool calls, and responses.

“Best‑effort” guardrails don’t satisfy audits

Policies on paper, manual reviews, and prompt guidelines aren’t enforceable at runtime — and don’t produce audit‑grade evidence.

Compliance teams slow or block adoption

Without traceability and oversight, production rollouts stall — especially in healthcare, insurance, legal, and critical infrastructure.

The solution

Prunex provides a runtime control plane for AI systems — enforce policies, explain decisions, and export compliance evidence.

Prunex is an AI Policy Governance Gateway

It sits between your apps, internal agents, external tools, and model providers. Every interaction is evaluated against explicit, versioned policies — with deterministic enforcement and AI‑based semantic checks.

Observe‑only rollout

Start safely. Measure risk, collect evidence, and tune policies without blocking production traffic.

Enforce in real time

Allow, block, or redact content across text, tables, files, and code — including agent‑to‑agent flows.

Prove compliance

Immutable logs with policy versions and human‑readable explanations. Export auditor‑ready evidence packages.

Enforce regulatory + in‑house policiesGDPR / EU AI Act readiness

Map controls to standards and customer‑specific rules (data handling, ethics, acceptable use, industry constraints).

Ethical AI enablementcustom ethics frameworks

Detect discriminatory or unethical content and conversations using policy‑aligned AI models and configurable thresholds.

Security & traceabilityaudit‑grade logs

Record who/what/when/why for each decision, including what was blocked or redacted and which policy version ran.

Designed for enterprise rolloutintegrates into stacks

Works as an API layer and can integrate with identity, logging/SIEM, and existing governance workflows.

How it works

Deterministic rules provide reproducibility; AI models catch semantic risk and ethics violations. Together, they enable enforceable governance.

1) Policy engine

Explicit, versioned rules for data handling, access, and acceptable use — scoped by environment and use case.

2) Multi‑format inspection

Inspect prompts, responses, tool calls, and payloads across text, tables/CSV, files, and code.

3) Evidence layer

Immutable logs with decision traces and human‑readable explanations. Export structured artifacts for audits.

Deterministic enforcement

Reproducible outcomes auditors can trust — plus a safe observe‑only rollout path.

AI‑based semantic detection

Catch paraphrased leakage, unethical/discriminatory content, and policy violations that rules alone miss.

Ideal pilot use cases

Start with one AI workflow, then expand across teams, agents, and environments.

Healthcare & HealthTech

Protect PHI and sensitive documents across copilots, clinical workflows, and knowledge assistants — with audit‑ready evidence.

Insurance & FinTech

Prevent leakage of customer data, pricing logic, and internal models — and enforce fairness/ethics policies in agent workflows.

Legal & Professional Services

Keep privileged material and contract data protected while enabling assistants for research, drafting, and knowledge retrieval.

Common pilot objective

Move from AI experimentation to production by adding enforceable controls: observe risk first, then enforce policies, and export evidence that security and compliance teams can approve.

Team

A compact founding team combining AI engineering, product delivery, and go‑to‑market execution.

Majed Ali

Co‑Founder & CTO
AI + data engineering. Builds secure foundations, integrations, and scalable deployments.

Nashib ul Khamash

Co‑Founder & CEO
AI product development and delivery. Drives product, customer discovery, and enterprise execution.

Anial Shabbir

Co‑Founder (GTM)
Product marketing and workflow automation. Focused on positioning, adoption, and growth.

Want to run a governed AI pilot?

We’ll help you start in observe‑only mode, tune policies, and graduate to enforcement with audit‑ready evidence.

Share a few details and we’ll get back within 48 hours.