When your detection pipeline depends on a shared embedded threat corpus, a poisoned indicator can blind detections on the threats an attacker most wants missed. Mnemo gives every indicator an unforgeable source and account.
Only if your detection pipeline uses vector embeddings. Classical SIEM and rule-based SOAR are out of scope. AI-native SOC platforms, MSSPs running shared threat intel, and analyst copilots are in scope.
02Why it matters
Three failure modes specific to threat intel and SOC.
Intel poisoning. Planted embeddings cause legitimate threats to look normal at retrieval. Cross-account intel leakage. MSSPs running shared embedding stores cannot prove that one customer's signals are not retrievable from another. Copilot precedent manipulation. Analyst copilots that retrieve past incidents can surface misleading precedents during live response.
03What this does
Per-account UIDs. Verifiable isolation.
Every threat indicator carries a UID for its source and account. The detection pipeline calls verify() before similarity. For MSSPs, isolation moves from configuration to verifiable identity.
04Scope
What Mnemo does not do.
Does not replace your system
Does not replace your TIP
Does not handle prompt injection defense
Does not detect threats on its own
Mnemo focuses on one layer: attaching identity to embeddings and verifying them when they are used.
05Who this is for
CISO at AI-native security vendors. VP SOC Engineering. Head of Threat Intel. CTO at MSSPs. Director of Detection Engineering.
06Why teams adopt it
MSSP multi-customer threat intel isolation in enterprise RFPs.
Incident response attribution at the embedding layer.
Enterprise SOC RFP requirements for provenance.
Analyst copilot precedent provenance for regulated industries.
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