SentinelDLP is the first Data Loss Prevention platform built for the AI era — with a self-improving detection engine, blast radius visualization, and 14 autonomous agents that write their own detection rules overnight.
Every incumbent DLP tool was designed when the biggest threat was an employee emailing a spreadsheet. The modern threat surface has changed completely.
Claude, ChatGPT, Copilot, and internal agentic apps access sensitive documents through tool calls with zero DLP visibility. No competing tool models AI agent identity.
MCP servers bridge internal data stores to external AI models — an entirely new exfiltration vector that incumbents don't even know exists yet.
Hundreds of third-party apps with persistent write access, granted by individual employees and never reviewed. Your attack surface is invisible to you.
Employees leave with access to dozens of SaaS tools the IT team doesn't know about. The window between notice and revocation is your biggest vulnerability.
| Capability | Netskope | Palo Alto Prisma | Microsoft Purview | SentinelDLP |
|---|---|---|---|---|
| AI Agent Identity Modeling | ✗ | ✗ | ✗ | ✓ Full AI_SESSION edges |
| Blast Radius Visualization | ✗ | ~ Partial | ~ Partial | ✓ Recursive graph |
| Autonomous Self-Improvement | ✗ Manual tuning | ✗ Manual | ✗ Manual | ✓ 14 AI agents |
| Plain-English Policy Authoring | ✗ | ✗ | ~ Partial | ✓ NLQ→Rego in 30s |
| MCP Server Coverage | ✗ | ✗ | ✗ | ✓ Full connector |
| Cryptographic Audit Chain | ✗ Flat log | ✗ Flat log | ~ Partial | ✓ HMAC-chained |
| False Positive Auto-Tuning | ✗ No SLA | ✗ No SLA | ✗ No SLA | ✓ Overnight via AI |
| Connector Auto-Generation | ✗ | ✗ | ✗ | ✓ ConnectorEvolutionAgent |
Built from the ground up for the AI era. Not a retrofit. Not a patch. A fundamental rethink of what DLP means in 2026.
The entity graph models every human, AI agent, connector, and resource — and every relationship between them. Traverse from a single identity through OAuth grants, shared folders, and inherited permissions to enumerate every document reachable within 3 hops.
Every night at 2am, the DetectionTuningAgent reviews false positives, generates tighter regex patterns, validates against a holdout test set, and opens a GitHub PR. The platform gets smarter while you sleep.
The NLQ→Rego compiler converts any plain-English rule to a validated OPA Rego policy in under 30 seconds. No rule language required. No professional services. No 3-month timeline.
Every audit event is written to an HMAC-chained log. Each entry includes the SHA-256 hash of the previous entry. The ForensicsReportAgent generates a PDF with the full timeline — admissible in court, verifiable by regulators.
Each use case is a direct product of the SentinelDLP architecture. Not replicable by any incumbent without a fundamental rewrite of their data model.
Your CEO is one phishing click away from 23,847 documents.
The entity graph traverses from a single identity through OAuth grants, shared folder memberships, and inherited permissions to enumerate every resource reachable within 3 hops — rendered as a force-directed graph in 1.2 seconds.
847 connected apps. 312 with write access. 23 with access to board documents.
During onboarding, SentinelDLP scans every OAuth token ever granted across your entire organisation and scores risk by scope and document classification.
In the last 30 days, your employees sent 2,341 files to external AI models. Here are the 47 that were RESTRICTED.
SentinelDLP models AI agent sessions as edges in the entity graph — showing exactly which employees sent which classified documents to which external AI services.
Type a sentence. Get a live DLP policy. No rule language required.
The NLQ→Rego compiler converts any plain-English rule to a validated OPA Rego policy with unit tests. Competitors require days of professional services.
John Smith gave notice 6 hours ago. Here are the 14 actions he has taken since.
When an HRIS termination event fires, the entity graph elevates risk to 0.95 and begins a 14-day enhanced monitoring window. Automated Slack alert if access isn't revoked within 2 hours.
Overnight, the DetectionTuningAgent reduced your false positive rate by 34%.
Every morning at 2am, the agent reviews false positives, generates tighter patterns, validates against a holdout set, and opens a PR. No professional services engagement required.
You asked for a Box connector at 5pm. It was live in production at 9am.
ConnectorEvolutionAgent generates a complete Go connector from an API spec — OAuth flow, file listing, webhooks, field normaliser, entity graph upsert. Competitors charge $50K+ for this.
Here is the complete, tamper-proof chain of events from the breach. Admissible in court.
Every audit event is HMAC-chained. The ForensicsReportAgent generates a PDF with the full timeline and a verification script regulators can run to confirm integrity.
A user just shared a RESTRICTED document. They received an education, not a block page.
Within 2 seconds of a violation, SentinelDLP sends a personalised Slack DM with the actual file name, classification reason, and action buttons. Security becomes a service.
SentinelDLP's deepest competitive advantage is not detection accuracy — it is the fact that the platform improves itself autonomously. Every night, a fleet of AI agents review the previous day's data and generate new code.
SentinelDLP's lean, AI-native architecture delivers enterprise-grade gross margins from day one. You benefit from the very first invoice.
All plans include a 10-minute onboarding — connect your first SaaS app and see your blast radius before you finish your coffee. No professional services required.
Connect your Google Drive in 10 minutes and see your actual blast radius. No credit card. No professional services. Just the truth about your data exposure.