Single actions look benign. Multi-agent attack sequences don’t. Veldt correlates across agents, delegations, and tenants, mid-attack.
Traditional tools evaluate each action in isolation. Every step looks benign. The attack completes.
Veldt correlates across agents, tools, and tenants. Sequences that individually seem benign are caught mid-attack, in flight.
“Caught mid-attack. Not in post-mortem.”
Clinical AI: pull chart, format, send. Three benign queries an hour. Over weeks: bulk PHI leak.
Chain trips when the sequence forms, not after 10,000 records are gone.
A fraud agent queries across tenants, permitted for its role. Over hours: systematic recon on a competitor’s book.
Chain fires the moment the pattern crosses tenants.
Coding AI pulls a public package, then a private one, reads an env var, calls out. Each step in scope. Together, supply-chain exfil.
Outbound call blocked before the secret leaves.
Analyst’s AI runs plausible queries across sensitive datasets. Each explainable. In sequence, a classification-boundary probe.
Blocked before the classified file is reached.
Three plausible claims share IP, device fingerprint, and timing: synthetic-identity fraud at scale.
Ring stopped before payout.
Four AI agents: scan, escalate, exfiltrate, wipe logs. Each looks isolated to a per-event detector.
Correlated across all four. Breach stopped mid-chain.
Legal AI reviews privileged docs, summarizes, sends. Each step authorized. Chain reveals leakage to opposing counsel.
Chain fires the moment the summary crosses a boundary.
A benign action after two others in the wrong pattern isn’t benign.
Recon, escalation, exfil split across agents, correlated across the delegation tree, tenants included.
Runs in the action-gate fast path. On match, next step blocks and a human is paged.
Bring a threat model or red-team scenario. Thirty minutes, every sequence caught.
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