Kite introduces a new safety primitive: intent drift detection.
Problem:
AI agents subtly shift their internal objectives as they reason. These shifts are invisible until they cause biased, unsafe, or incorrect outputs.
Solution:
Kite’s intent drift alerts identify early internal deviations before they manifest.
The agent monitors its own objective vector; when it diverges beyond a threshold, it emits a cryptographically bound alert detailing the drift type.
Impact:
Workflows can intervene mid-reasoning.
Drift becomes transparent and measurable.
Enterprise systems gain auditability over intent, not just actions.
Agents become more trustworthy because hiding drift is detectable.
Adversarial suppression of alerts becomes punishable.
Outcome:
Misalignment is caught at inception, not after failure.
Kite makes AI goals observable — and governable — in real time.
