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Yes—continuous authentication can process employee-related signals, but it is not automatically productivity surveillance. It is a security control that repeatedly evaluates whether an active session still appears to belong to the authenticated user. Depending on its design, it may examine typing cadence, mouse or touch usage, device and browser characteristics, IP or network traits, location, and the timing or speed of actions.
The privacy question is therefore specific: what signals are collected, when are they evaluated, whether they identify a person, who can see the result, how long information is retained, and whether it is reused for another purpose. An organization can use the control responsibly only by limiting it to a defined security threat, assessing privacy risks before deployment, explaining it clearly to workers, and preventing authentication data from becoming an undisclosed performance-monitoring system.
What continuous authentication actually does
Session-risk assessment, not a universal mandate to watch staff
NIST defines session monitoring (also called continuous authentication) as “the ongoing evaluation of session characteristics to detect possible fraud during a session.” The definition appears in the U.S. federal Digital Identity Guidelines: Authentication and Authenticator Management, SP 800-63B-4, published July 31, 2025.
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What “continuous” means in practice
Implementations vary. One product may calculate a risk score after each significant event; another may sample signals at intervals; a third may evaluate only when a high-risk action, network change, or device change occurs. “Continuous” does not necessarily mean recording every keystroke, keeping a video feed, or storing a complete history of an employee’s activity. The configuration and policy determine the actual level of observation.
What continuous authentication can monitor
NIST lists several session characteristics that can be used to detect possible fraud. Each has a different privacy and accuracy profile.
| Signal | How it may be used | Privacy and operational considerations |
|---|---|---|
| Usage patterns | Checks whether navigation, commands, or application interactions resemble the established session profile. | Detailed activity histories can reveal work habits or sensitive tasks. Collect only events needed for the stated security objective. |
| Velocity and timing | Looks for unusual speed, sequence, or timing of actions that may indicate automation, takeover, or a handoff. | Normal work varies by task, accessibility tool, fatigue, and context. A deviation is an investigation signal, not proof of misconduct. |
| Typing cadence | Compares timing patterns between keystrokes with an expected behavioral profile. | Identifiable keystroke dynamics may be behavioral biometric data under ICO guidance on specific monitoring methods. Templates and derived profiles require strong protection. |
| Device and browser characteristics | Checks whether the session comes from an expected device, browser configuration, or integrity state. | Usually less revealing than content monitoring, but device identifiers can still be linkable to an individual and may expose personal-device information. |
| Geolocation | Tests whether the session originates from an expected geographic area or an impossible travel pattern. | Location can expose home addresses, travel, family circumstances, or private activities. Remote workers generally have higher expectations of privacy at home. |
| IP and network characteristics | Identifies changes in network, country, address reputation, or routing that raise session risk. | An IP address can be personal information in context. Network changes can be caused by mobile connections, VPNs, or ordinary travel. |
| Audio or video | May be proposed for presence or identity checks in some environments. | The ICO describes audio and video monitoring as potentially highly intrusive. They should not be a default substitute for less intrusive controls. |
NIST says most of these characteristics have privacy implications. Its privacy requirements include assessing the collection, storage of expected characteristics, and processing in a privacy risk assessment; the supporting NIST privacy considerations call for tailored controls, use limitation, predictability, and manageability.
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It can track signals associated with an employee’s authenticated session. Whether that amounts to employee tracking depends on the implementation and the purpose. A system that checks a device-integrity signal when a privileged action is attempted is materially different from one that continuously records keystrokes, precise location, screenshots, or webcam footage.
Four questions reveal the real impact:
- What is collected? Distinguish a coarse risk indicator from raw keystrokes, exact coordinates, audio, video, or detailed activity logs.
- When is it evaluated? State whether checks occur at login, at intervals, after events, or continuously during all active work.
- Who can identify the person and see results? A security service may receive an anonymous risk signal, while a manager may receive an employee-linked alert. Those are different privacy outcomes.
- What happens afterward? Document retention, deletion, alert handling, vendor access, and whether data is reused for any purpose beyond authentication.
Calling a system “security monitoring” does not authorize unlimited collection. The ICO’s worker-monitoring guidance says monitoring must be necessary and proportionate, transparent, and limited to information needed for the stated purpose. It also warns: “You must not collect more information than is necessary, just in case it might prove useful to you in the future.” See Data protection and monitoring workers.
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Why behavioral and biometric signals need extra care
Typing rhythm, gait, voice, face, and similar traits can help distinguish a legitimate user from an impostor, but they can also become persistent identifiers. The ICO classifies identifiable keystroke monitoring as behavioral biometric data. Unlike a password, a person cannot simply replace an inherent behavioral trait after a breach.
Before using biometric or behavioral profiles, an organization should document why a less intrusive method—such as a PIN, a conventional authenticator, device integrity checks, or event-triggered reauthentication—cannot address the threat. The ICO’s biometric-data guidance emphasizes alternatives, accuracy, security, necessity, and clear information for workers. An effective non-biometric route is important where a biometric method is unsuitable, unavailable, or produces repeated errors.
Privacy safeguards an organization should put in place
1. Define one specific security objective
Start with the threat: for example, stolen credentials being used from a new device, a privileged session being handed to another person, or a hijacked session continuing after an account holder leaves. Avoid a purpose as broad as “monitor staff.” Write down what event the control is intended to prevent or detect and what action follows a high-risk result.
2. Compare less intrusive alternatives first
Consider conventional multifactor authentication, shorter session lifetimes, device-integrity signals, risk-based access checks, or reauthentication only when a sensitive action is attempted. NIST describes potential responses to detected fraud as reauthentication, termination, or support notification; the ICO expects employers to consider alternatives and explain why less intrusive methods are inadequate.
3. Complete a documented privacy risk assessment
Do this before production deployment, not after complaints. At minimum, record:
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- Every signal collected, including whether raw data or only a derived score is retained.
- How an expected user profile or template is created, updated, encrypted, and deleted.
- False-match and false-rejection risks, including consequences for access to work.
- Retention periods for raw signals, profiles, alerts, and investigation records.
- Which security staff, managers, providers, or investigators can access results.
- Risks to remote workers, household members, visitors, and people using assistive technology.
- Potential disparate effects and a process for correcting an inaccurate profile.
NIST expressly requires session-monitoring collection, storage, and processing to be included in a privacy risk assessment. Revisit the assessment when the vendor, model, signal set, retention period, or purpose changes.
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Tell workers before monitoring begins, using language they can understand. The notice should identify the signals, evaluation frequency, security purpose, retention, recipients of alerts, provider or cross-border sharing, and the procedure for questioning an incorrect result. Explain whether monitoring operates on personal devices, outside working hours, or when a work application is open but no sensitive action is occurring.
5. Minimize collection and retention
Prefer a risk score or narrowly defined event over a permanent stream of raw behavior. Do not collect precise location when a country or network change is sufficient. Do not store keystroke content when timing features alone meet the objective. Set deletion deadlines for raw telemetry, templates, and alerts, and make exceptions for a documented security investigation rather than indefinite retention.
6. Secure profiles, templates, and alerts
Apply encryption, strict role-based access, audit logging, and administrator separation. Protect behavioral templates as sensitive data, not as harmless analytics. Limit exports and prohibit local copies unless they are necessary. A provider contract should specify permitted processing, sub-processors, breach notification, deletion, support access, and return or destruction of data at contract end.
7. Keep authentication separate from performance management
Do not quietly turn a session-risk score into a productivity score, attendance record, disciplinary input, or hiring signal. Reusing authentication data for a different purpose requires a compatibility analysis, consent, or a legal obligation where applicable. The ICO specifically cautions against reusing access records for performance evaluation without establishing a new lawful basis and showing necessity. If a new use is proposed, conduct a fresh purpose and necessity assessment and update worker information before enabling it.
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8. Provide human review and an effective challenge route
A risk alert should normally prompt investigation or step-up authentication, not automatic punishment. Give workers a way to report an incorrect match, explain relevant circumstances such as disability or assistive technology, and obtain correction of an erroneous profile. Record how often alerts are overturned and whether particular groups experience higher error rates.
9. Review the system continuously
At scheduled intervals, verify that the original threat still exists, the signals remain necessary, retention is being followed, and false alarms or disparate impacts are acceptable. Review configuration and vendor changes, update privacy notices, and remove signals that no longer add meaningful security value. Regular review helps prevent function creep.
How to compare authentication approaches
There is no universally least intrusive design. Compare each option against the specific threat and the consequences of error.
| Decision axis | Questions to ask |
|---|---|
| Security value | What attack does the signal detect, and is there evidence that it improves protection for this environment? |
| Sensitivity and identifiability | Can the signal identify a worker, reveal location or habits, or become a biometric profile? |
| Intrusiveness and expectations | Would a reasonable worker expect this collection, especially on a home network or personal device? |
| Accuracy and error impact | How are false positives and false negatives handled, and can an error block essential work? |
| Retention and provider access | What is stored, for how long, where, and which vendor personnel can access it? |
| Operational burden | How often will workers be challenged, and is there a reliable fallback when the signal is unavailable? |
Remote and hybrid work require a narrower design
Remote monitoring can capture information about a worker’s household, family, visitors, routines, or private life. The ICO notes that expectations of privacy are likely higher at home. An organization should therefore avoid treating home location, consumer Wi-Fi changes, or incidental background activity as evidence of poor performance or misconduct.
Use work-session boundaries, avoid monitoring outside the application or scheduled work context unless a documented security need requires it, and provide a non-invasive fallback for workers whose home environment or connectivity makes a signal unreliable. Explain whether a corporate security control runs on a personally owned device and what data leaves that device.
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Common failure modes and fixes
“Continuous” is used as a blanket justification
Failure: The organization deploys every available signal because it might be useful later.
Fix: Tie each signal to a named threat, document the expected security benefit, and remove signals that do not pass the necessity test.
Risk scores become productivity metrics
Failure: Managers receive unexplained scores and use them to rank staff.
Fix: Restrict access to security personnel, prohibit secondary use in policy and contracts, and require a new assessment before any proposed reuse.
Biometric errors are treated as proof
Failure: A typing or location mismatch automatically locks a worker out or starts disciplinary action.
Fix: Use step-up verification and human review, measure error patterns, and provide a practical appeal and fallback process.
Workers receive vague notice
Failure: A policy says only that “activity may be monitored.”
Fix: Name the signals, timing, purpose, recipients, retention, provider sharing, and challenge process in accessible language.
Remote context is ignored
Failure: Home-network changes or household activity are interpreted as suspicious employee behavior.
Fix: Reduce precision, set work-session boundaries, and test the design against ordinary remote-work conditions before rollout.
Which rules apply?
NIST SP 800-63B-4 is a U.S. federal digital-identity guideline. It explains the technical meaning and privacy implications of session monitoring, but it does not by itself settle private-sector employment law in every country.
The ICO materials address UK employers and workers. The regulator notes that parts of its worker-monitoring guidance are under review following the Data (Use and Access) Act. UK organizations should check the current ICO pages and obtain jurisdiction-specific advice before treating the guidance as a complete statement of their legal obligations. Organizations elsewhere must apply their own privacy, employment, biometric-data, communications, and labor rules.
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- The security threat and expected response are written in specific terms.
- Less intrusive alternatives were evaluated and rejected for documented reasons.
- Signals, profiles, retention, access, provider processing, and deletion are covered by a privacy risk assessment.
- Behavioral or biometric data has additional safeguards and a workable non-biometric fallback where appropriate.
- Workers receive clear notice before collection begins and can challenge inaccurate results.
- Authentication data is technically and procedurally separated from performance evaluation.
- Remote-work, accessibility, and disparate-impact risks have been tested.
- Review dates, error metrics, configuration-change controls, and a shutdown process are assigned to named owners.
Continuous authentication is defensible when it is a narrowly scoped, transparent response to a defined session-fraud risk. It becomes employee surveillance when organizations collect excessive behavior, retain it indefinitely, expose it to managers, or reuse it for unrelated judgments.
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