MindVault Concept: Evidence Classes. The independent categories of continuity evidence: behavioral, the human pattern at the controls; provenance, where inputs and tokens actually come from; device, endpoint state and processes; identity, account and policy state; and context, network, time, and location.
Session takeover sounds like one problem. It is at least four mechanically different ones, and the reason that matters is that different evidence sees different attacks. Our pillar article, The Operator Problem, catalogued the ways a session's binding to its operator breaks without a login event. This companion asks the practical follow up: for each takeover shape, which evidence classes can catch it, and which go blind?
Token and cookie replay
An attacker holds something that represents an already authenticated session and resumes it elsewhere. No password cracked, no MFA challenged, because the ceremony already happened. The environment usually changes: different device fingerprint, different network, and a session that arrives with a valid token and no behavioral history behind it. Provenance, device, and context evidence carry the load here, with behavior contributing the tell that the hands just showed up. No single signal should be sold as catching every replay; the strength is the disagreement between a valid token and everything around it.
Remote control takeover
The opposite shape. The attacker drives the user's real machine through remote tooling, so device, network, and token all stay green. What changes is the input itself: a different human rhythm, and often endpoint evidence that a remote channel or unexpected process is active. This is the scenario where behavioral and device evidence are strongest together and where environmental signals alone are weakest.
Human handoff and shared workstations
No malware at all. A session left open, a colleague finishing a task, a credential lent under deadline pressure. Every environmental signal is normal because the environment is normal; the activity may even be routine for the account. Behavior is frequently the only evidence class that changes, which is why continuity and anomaly detection are not the same discipline. The action is not unusual. The operator is.
Automation at human controls
A script or agent begins operating a session issued to a person. Sometimes sanctioned, sometimes the attack itself. Machine input produces timing textures humans do not, so behavior can recognize that human interaction ended. But recognizing non human activity is not the same as knowing whether it is authorized; that requires identity, delegation, and scope context, which is the bridge to agent continuity and a different evidence set.
The design lesson
Lay the four side by side and the architecture writes itself: replay is caught in provenance and context, remote control in behavior plus device, handoff in behavior almost alone, automation in behavior plus identity context. Any product leaning on one signal has at least one blind quadrant, which is why Continuous Identity Confidence is designed as a multi evidence framework, and why missing evidence is treated as insufficient rather than hostile. The goal is not detecting weirdness. It is knowing when the evidence for authorized control materially changed, and saying so with the confidence the evidence actually supports.
MFA proves who logged in. MindVault proves who stayed.
Frequently asked questions
Which takeover type is hardest to detect? Human handoff, because nothing environmental changes and the activity can be routine. Behavioral evidence is often the only class that moves, which is why it belongs in the mix even though it is never proof alone.
Can one signal cover all four? No, and vendors who claim it should be pressed on which quadrant they go blind in. Each shape leaves evidence in different classes; coverage comes from combining them.
What about attacks with no human at all? Pure API and token abuse with no interactive session needs identity, scope, and conduct evidence rather than behavioral continuity. That is the agent side of the continuity question, covered in AI Agents Need Identity Too.
Sources: NIST SP 800-63B-4, Section 5.3 (pages.nist.gov). Verizon Data Breach Investigations Report (verizon.com/dbir). CyberArk on post authentication session threats (cyberark.com).