Prove your AI keeps each user's and each customer's data separate.
Prove that no user can read another user's data — and no customer another customer's — through your vector DB, RAG pipeline, agent framework, semantic cache, fine-tunes, or MCP servers. You walk away with a tamper-evident PDF + machine-readable evidence pack your auditors, customers' security teams, and DPOs accept, and that anyone can verify independently, without trusting us.
Use Sectum AI for…
Vendor security questionnaires
Drop a tamper-evident AI tenant-isolation attestation into your data room. Unblock the enterprise prospect whose security team is asking how you isolate tenant data in your AI features.
Sales engineering · CISO
SOC 2 audit evidence
Plug a control-mapped AI isolation attestation into your Type II audit. CC6.1, CC6.6, CC6.7 evidence the auditor accepts as testing coverage of your AI features.
Compliance · CISO
Pre-launch verification
Run the probe suite against a new AI feature before launch. Catch the cross-tenant retrieval-pivot, the cache contamination, the MCP confused-deputy bug while there's still time to fix it.
Platform engineering · Application security
CI regression baselines
Save a baseline. Re-run on every prompt / embedding / model change. Sectum AI flags the regression when a stronger embedding model accidentally raises your Retrieval-Pivot Rate.
Platform engineering
GDPR Article 17 erasure response
A churned tenant invoked their right to be forgotten. Prove their data has actually left every AI surface, in a DPO-ready cryptographically-timestamped attestation pack.
DPO · Privacy
EU AI Act Article 15
Documented cybersecurity and robustness measurements for high-risk AI systems under Article 15. Tamper-evident, control-mapped, and independently verifiable.
Compliance · Legal
The problem
Multi-tenant AI systems universally claim “tenant A's data cannot reach tenant B.” That claim is rarely verified, and published research shows it fails routinely:
- OWASP LLM08:2025: Vector and Embedding Weaknesses names multi-tenant context leakage a top-10 LLM risk.
- Retrieval Pivot Attacks in Hybrid RAG (arXiv, 2026): 95.4% of benign queries triggered cross-tenant leakage via shared organic entities. Stronger embedding models leaked more.
- Silent Leaks (arXiv 2505.15420): 91% extraction efficiency via benign queries, with no prompt injection required.
What Sectum AI does
Marker substrate
Synthetic tenants seeded with three classes of cryptographic canary markers and a hashed ground-truth manifest. Deterministic and reproducible: every confirmation ties back to a planted marker.
13 surfaces
Vector DB, RAG pipeline, semantic cache, KV cache, agent memory, MCP tool calls, fine-tunes / adapters, eval sets, backups, search indexes, tracing pipelines, prompt/completion logs, API. Live adapters for the common backends.
Tamper-evident evidence
Every run is canonicalized, hashed, RFC 3161 timestamped, Sigstore
Rekor logged, wrapped in an in-toto attestation envelope, and rendered
to an auditor PDF. sectum-ai verify validates the chain
end-to-end, with no Sectum AI installation required.
11 attack classes
Direct tenant-boundary fetch, organic entity-bleed RAG (the flagship), semantic-cache contamination, KV-cache timing side channel, embedding inversion, MCP confused-deputy + token passthrough, persistent memory contamination, LoRA cross-tenant influence, IKEA benign extraction, RAG poisoning, GDPR Article 17 erasure verification.
Open evidence layer
The marker substrate, attack catalog, adapters, evidence chain, and the
independent sectum-ai verify are Apache-2.0. Anyone can
reproduce a run and verify a Sectum AI evidence pack without us (by
design), which is what makes the attestation worth anything.
Partnerships
Audit firms & compliance partners: white-label Sectum AI's multi-tenant isolation evidence into your SOC 2, ISO 27001, and GDPR engagements. Your clients get auditor-grade AI-isolation coverage, without your team becoming AI-security experts. We produce the signed, independently-verifiable pack; you deliver it under your brand.
LandscapeSectum AI vs the alternatives
The 12 products buyers most often evaluate alongside Sectum AI: LLM red-team frameworks, runtime guardrails, GRC platforms, DSR / DSPM tools.
They test model behavior, govern how staff use AI, or track controls on a dashboard. None of them provision real tenants to measure cross-tenant leakage, and none produce evidence you can verify without trusting the vendor. That is the gap Sectum AI fills, which is why it sits alongside these tools rather than replacing them.