Make Enterprise RAG
audit-ready.
Built for teams that need clearer evidence, safer rollout paths, and defensible RAG governance.
Hallucinations in Production
Your LLM confidently gives wrong answers. No one knows until a customer complains — or a regulator calls.
PII Leaking from Context
RAG systems retrieve customer data and your LLM surfaces it verbatim. GDPR fines up to €20M.
No Audit Trail
When an AI incident happens, you have no forensic record. No record = no defense in a compliance review.
Move from AI prototype to reviewable production plan.
Start with a fixed-scope assessment, inspect a product walkthrough, or review the security model before discussing deployment.
Audit Readiness Assessment
A 2-3 week review of grounding, privacy, policy, audit evidence, and production gaps.
Product Walkthrough
See how HardRAG evaluates a risky RAG answer and turns it into reviewable evidence.
Security Model
Understand data handling, deployment modes, audit records, tenant boundaries, and limitations.
Engineered for High-Stakes Sectors
Different industries face different AI compliance risks. HardRAG is calibrated for environments where errors have legal, financial, or regulatory consequences.
Fintech & Wealth Compliance
Evaluate answers about rates, account details, loan terms, and product rules for grounding quality, policy risk, and audit evidence gaps.
PHI Privacy & Patient Data
Review healthcare RAG outputs for sensitive identifiers, privacy exposure, unsupported claims, and evidence gaps before rollout.
Sovereign Air-Gapped Runs
Scope local and sovereign deployment requirements with clear separation between current implementation, pilot options, and roadmap components.
One API call.
Five layers of protection.
Drop HardRAG between your RAG pipeline and your users. Every inference is validated before it reaches anyone.
Hallucination Detection & Scoring
Every LLM response is scored against the retrieved context on a 0–5 scale. Unsupported claims are flagged, listed, and logged before they reach your user. Works with any RAG pipeline — 2 lines to integrate.
PII & Privacy Shield
SSN, emails, phone numbers, IBANs — detected via regex + AI and masked before the response leaves the system. GDPR & HIPAA aligned.
+ SSN: [REDACTED]
Jailbreak & Prompt Injection Guard
Adversarial prompt patterns are caught at input. No more "ignore all previous instructions" exploits reaching your backend.
Full Audit Trail — Every Inference
Every query, retrieved chunk, LLM response, score, and judge vote is logged with a SHA-256 integrity hash. Forensic-grade evidence for compliance reviews — no more "we can't prove what the AI said."
Configure Your Guardrails.
Define exactly what your AI is and isn't allowed to say — by toggling policy rules in plain language. No code required.
Try it yourself.
Real tools, real results. Use these to understand your AI risk exposure — and show your team what's at stake.
The RAG Simulation.
Experience HardRAG's deterministic intervention. See how raw, unsafe AI outputs are transformed into secured enterprise assets.
"What is the recommended investment strategy for client ID: 8821?"
Toggle to visualize deterministic intervention
Based on our latest data, Client 8821 should invest 40% in high-yield emerging markets. Please note that Client 8821 (Murat Gultekin) has a risk tolerance score of 8.2.
Issue: PII Leakage & Unsafe Investment Advice
Which best describes your RAG audit trail?
Define Your Infrastructure.
Calculations are based on HardRAG's hardware-attested deterministic engine, typically achieving a 90-95% reduction in governance overhead.
"Demos are fast. Production RAG compliance is the real hurdle."
Most engineering teams build impressive Retrieval-Augmented Generation (RAG) demos in a weekend. But when it comes to shipping them in regulated industries, risk officers and compliance auditors step in with critical questions.
They ask: Where is the audit log? How do you prove this isn't hallucinating? How do we ensure no patient or financial data leaks to a third-party LLM?
I created HardRAG to resolve this friction. By combining local Presidio privacy masks, automated DSPy rule calibration, and SHA-256 cryptographic audit logs, we turn loose AI outputs into tamper-evident regulatory evidence.
Özgür Murat Gültekin
Lead Architect & Creator
"Helping regulated enterprises build AI systems they can legally defend and audit."
Read the Origin StoryStart with evidence. Scale with confidence.
HardRAG engagements are scoped around your risk posture, data handling requirements, and deployment model.
Audit Readiness Assessment
A focused review of your RAG application, risk profile, data exposure, and audit evidence gaps before production rollout.
- RAG pipeline risk audit
- Hallucination rate analysis
- PII exposure check
- Written findings report
- Guardrail implementation roadmap
- Continuous monitoring
- Managed service SLA
Scoped after technical discovery
Managed Guardrail Pilot
HardRAG running in a controlled environment — validating inferences, enforcing policies, and logging decisions for review.
- Full 5-layer guardrail pipeline
- PII masking & jailbreak protection
- Policy Studio — custom rules
- Audit dashboard access
- Monthly compliance report
- Email + Slack support
- On-premise / air-gapped deployment
Designed after assessment findings
Enterprise / On-Prem
Dedicated deployment on your infrastructure. All data stays inside your network. Full SLA and white-label options.
- On-premise or private cloud deploy
- Air-gapped local LLM support
- Custom policy authoring
- SOC2 / HIPAA alignment package
- White-label audit certificates
- Dedicated support & SLA
Scoped by deployment and assurance needs
Not sure where to begin? Start with a technical briefing. Pricing is shared after discovery so the offer matches your real risk, data, and deployment requirements.
Not sure where
to start?
Book a focused technical session. We'll review your current RAG setup, identify your top risks, and show what a guardrail implementation could look like for your stack.
Strategic Briefing
Sovereign Inquiry Portal