For platform teams

    The Learning Network.

    The flywheel is simple: every observation across every customer sharpens the plane for every other customer. CFD fingerprints propagate in minutes. AIP drift baselines tighten. Trust Ratings calibrate across providers. Your agents get smarter protection every hour — without your data ever leaving your tenant.

    See what we screenRead the architecture

    Three pillars, one compounding surface.

    The Learning Network is not one dataset. It is three — each trained by a different signal, each improving every customer's posture simultaneously.

    CFD fingerprint corpus

    Every blocked attack teaches every customer.
    • MinHash fingerprints of novel injection, jailbreak, and coercion payloads.
    • Propagation in minutes — a pattern seen in one tenant is screened in all tenants.
    • Tenant-private content; only attack shape is shared. Your data never leaves.

    AIP drift baselines

    Normal is learned per fleet, not guessed by a vendor.
    • Per-agent and per-fleet behavioral baselines refreshed continuously.
    • Anomaly bands tighten as the corpus grows — fewer false positives, earlier real alerts.
    • Cross-fleet statistical priors protect small tenants from cold-start blindness.

    Trust Rating calibration

    Scores that mean the same thing everywhere.
    • 0–1000 Trust Rating calibrated against the full incident and verdict history.
    • Credit-score-for-agents: a 742 on one customer means the same thing on another.
    • Incumbents cannot calibrate across providers — only a zone-neutral plane can.

    How one attack protects ten thousand agents.

    Four steps, one signed loop. Every verdict is both enforcement and training data.

    01
    An agent runs — anywhere.
    A Claude agent at one bank answers a customer question. A GPT-4o agent at another bank triages a claim. A Llama-based internal ops bot approves a refund.
    02
    Every message is screened.
    CFD scans inbound for injection and coercion. CBD scans outbound for PII, secrets, alignment-card violations. Every verdict is signed.
    03
    Signed verdicts become shared signal.
    Novel attacks become CFD fingerprints. Drift events become AIP priors. Incident outcomes become Trust Rating calibration data. Content stays tenant-private.
    04
    Every customer gets sharper protection.
    The small tenant gets the benefit of the large tenant's attack surface. The large tenant gets the benefit of the small tenant's edge cases. Guardrails don't compound; the learning network does.
    Signal propagates tenant-private. Content never leaves your perimeter; only attack and drift shape are shared.
    Why not guardrails

    Guardrails are rules. The Learning Network is memory.

    Static guardrails don't learn.

    A rule list written in March does not recognize the injection template that started spreading in April. Shared signal does.

    A single-vendor plane sees one model.

    If your trust plane is inside OpenAI, it is blind to Claude's failure modes, Gemini's, and open-weights'. Cross-provider coverage requires a zone-neutral referee.

    Private-only defense is cold-start forever.

    A new attack hits your agent first. You survive it. Six months later another customer is hit by the same pattern — and you have no mechanism to have warned them. The network is what flips that asymmetry.

    What is shared. What never is.

    The network is powerful because the data boundary is strict.

    Shared across tenants

    • • Attack fingerprints (MinHash signatures, not payloads)
    • • Drift statistics (distributions, not prompts)
    • • Verdict outcomes (labels, not content)
    • • Trust Rating calibration data (scores, not traces)

    Never leaves your tenant

    • • Agent prompts, tool arguments, outputs
    • • Customer PII, PHI, and regulated payloads
    • • Your Alignment Cards and card hashes
    • • Identifiable traces, tenants, or business data

    The network is the moat.

    The longer your agents are on Mnemom, the harder it is for the next attacker — and the sharper the verdicts your auditors will see.

    See what each tier includesWhat we actually proveSee what shipped recently
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