Every AI interaction.
One audit-ready ledger.
PanoptAI is the system of record for enterprise AI usage. Capture, classify, and govern how your employees and systems use AI across every tool — ChatGPT, Claude, Cursor, Gemini, and beyond.
AI adoption is accelerating.
Governance isn't.
Your employees are using dozens of AI tools. You have no idea what they're sending — or to whom.
No unified visibility
ChatGPT, Claude, Cursor, and internal APIs each have separate logs — if any at all. There is no single view of AI activity across your organisation.
Sensitive data leakage
PII, source code, contracts, and credentials are entering third-party AI systems every day. Most companies find out after the fact — or never.
Shadow AI usage
Employees use personal accounts, unapproved tools, and browser extensions outside IT visibility. Your DLP doesn't see it. Neither does your SIEM.
No audit trail
When an incident happens — a data breach, a compliance query, an IP dispute — you have no reliable record of what was sent to which AI, by whom, and when.
OpenAI and Anthropic only log activity inside their own platforms. No vendor provides cross-tool governance. That gap is your exposure.
Every interaction becomes
a ledger entry.
A six-stage pipeline turns raw AI activity into structured, policy-evaluated, audit-ready records.
Capture
Browser extension, Claude Code hooks, API gateway, and agent transcripts collect interactions at the source — across every tool and surface.
Normalize
Each event is standardised into a common schema regardless of which AI tool produced it. One format. One store.
Enrich
Workers classify sensitivity (PII, secrets, IP, code), identify the tool and model, resolve user identity, and compute a risk score.
Evaluate
Each record is checked against your policy engine in real time. Violations trigger alerts. High-risk interactions can be blocked at the proxy layer.
Store
The enriched record is appended to the immutable ledger. Raw content is never required — metadata, hashes, and risk signals are sufficient for most compliance needs.
Expose
Dashboards, real-time alerts, and exportable reports give security, compliance, and leadership teams the visibility they need.
High-confidence coverage
across every major surface.
You don't need to capture everything. You need to capture enough to know when something is wrong.
Everything your security and
compliance team needs.
Risk scoring
Every interaction is scored low → critical based on data sensitivity, destination tool, user role, and policy match. Prioritise what matters.
Policy engine
Define rules for what can and cannot be sent to which AI tools. Violations are flagged in real time; enforcement can block at the proxy layer.
Usage analytics
Understand which teams use which tools, at what volume, and with what risk profile. Track adoption trends across the organisation.
Shadow AI detection
Identify usage of unapproved AI tools and personal accounts outside IT visibility. Quantify your unmanaged AI surface.
Agent monitoring
Capture tool calls, file reads, code execution, and web actions taken by coding agents like Claude Code and Cursor Composer.
Compliance reports
Generate audit-ready exports for SOC 2, ISO 27001, GDPR reviews, and internal investigations. Timestamped, immutable, exportable.
Real-time alerts
Slack and email notifications for policy violations, high-risk events, and anomalous usage patterns as they happen.
Incident investigation
Full session replay and timeline view for any user. When something goes wrong, you have the complete record to investigate.
"We are a governance layer.
Not a prompt warehouse."
The biggest objection to AI monitoring is storing sensitive content in a third-party system. We designed the product around that constraint from day one.
Metadata only
No raw prompt content is stored. Only risk scores, classification labels, content hashes, user identity, tool, and timestamp. Sufficient for most compliance requirements.
Redacted content
Sensitive values (PII, secrets, code tokens) are stripped before storage. Partial context is retained for policy review and investigation without raw exposure.
Customer-controlled storage
Raw interaction data is stored in your own cloud environment (AWS S3, Azure Blob, GCP). PanoptAI stores only references and findings — not the content itself.
Self-hosted
Full on-premise or VPC deployment for regulated industries. Zero data leaves your environment. Available for enterprise contracts.
The analogy that makes it click
for AI usage
They log inside their platforms. We govern across all of them.
Start with a free audit.
Upgrade when you see the risk.
Most customers discover material risk within the first 48 hours.
- Browser extension capture
- Claude Code integration
- Risk report at end of trial
- Shadow AI detection
- Up to 5 users
- Everything in Audit
- Policy engine
- Real-time alerts (Slack + email)
- API gateway proxy
- Compliance report exports
- Customer-controlled storage
- Unlimited users
- Everything in Govern
- Self-hosted / VPC deployment
- SIEM / DLP / CASB integrations
- Endpoint telemetry agent
- Identity provider SSO
- SLA + dedicated support
- Custom data residency
Are your employees leaking sensitive data into AI tools?
Most companies don't know. A 14-day audit will tell you — at no cost, with no disruption to employees.
No credit card. No sales call required. Results in 48 hours.