Intent drift doesn't announce itself. An agent whose goal looks unchanged at the surface level is quietly executing prompts, accessing systems, and taking actions it was never authorized to take. aizome monitors every agent at the prompt and task level - catching drift where it starts, before it becomes an incident.
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#1Lasso Security Enterprise AI Predictions, 2026
Post-deployment drift is now the primary AI governance failure mode - agents evolve through prompt changes, workflow expansion, and new integrations, drifting from their original purpose without any model update or code change.
20%IDC FutureScape 2026
of G1000 organizations will face lawsuits, fines, and CIO dismissals tied to poor AI agent governance by 2030 - most traced directly to unmonitored agent behavior and unexplainable intent at runtime.
2xGravitee State of AI Agent Security, April 2026
Agent fleets doubled in four months while monitoring coverage barely moved. Organizations are becoming more comfortable with a risk they haven't actually reduced.
You can't detect drift without knowing what normal looks like. Most organizations have no reference point for what a given agent is supposed to do - making deviation detection impossible. aizome establishes a behavioral baseline for every user-agent pair from the moment of onboarding. Deviation detection is contextual and specific - not generic threshold alerts.
Agents reinterpret policies rather than violate them - optimization goals and ambiguous instructions produce behavior that technically complies with inputs while undermining organizational objectives. That's drift. And it happens at the prompt level, not the session level. aizome evaluates every agent request against its authorized purpose in real time. Drift is detected where it originates - before it surfaces as an incident or a compliance violation.
aizome monitors four drift signals continuously: data volume spikes, sensitivity tier breaches, outbound call rate anomalies, and prompt injection patterns. Each is flagged the moment it appears - not in a weekly report.
An agent's objective can be redirected mid-task through malicious instructions embedded in external content - emails, documents, web pages. The agent pursues a goal its owner never authorized. aizome performs real-time intent analysis on every request, detecting when an agent's current goal has diverged from its authorized purpose and blocking execution until reviewed.
The difference shows up before the first incident does.
Scope every agent's access so drift has less room to do damage.
Find out moreFind the agents you're not monitoring for drift in the first place.
Find out moreTurn every blocked drift event into a structured, attributed record.
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