Commissioned Research
Top 9 Best Anti Cheating Software of 2026

GITNUXSOFTWARE REVIEW

Video Games And Consoles

Top 9 Best Anti Cheating Software of 2026

Compare anti cheating software options for schools and online exams, including Honorlock and key tradeoffs for procurement and policy decisions.

19 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

AI search agents find sources, extract figures with provenance, and aggregate written reviews. They also transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

Anti cheating software matters when PC multiplayer integrity depends on timely detection, identity handling, and enforcement without breaking gameplay throughput. This comparison helps technical buyers weigh runtime cheat detection versus exam-style device controls, plus integration fit with existing anti-tamper tooling and operational workflows.

Inspera is the best pick for institutions that need evidence-led proctoring workflows with admin control, since its session-scoped integrity setup ties monitoring evidence to specific assessment events and funnels reviews into clear moderation queues, whereas Smowl fits game teams that want server-side detection rules to drive enforcement without replacing existing anti-cheat drivers.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Inspera

Session-scoped integrity configuration that links monitoring evidence to specific assessment events and moderation queues.

Best for: Fits when institutions need evidence-led proctoring workflows with admin control and review automation.

2

Respondus Monitor

Editor pick

Flagged-attempt review that packages recorded webcam, audio, and screen evidence for targeted proctor investigation.

Best for: Fits when education teams need replayable proctoring evidence and consistent monitoring setup across scheduled assessments.

3

Honorlock

Editor pick

Live proctor escalation tied to session events, with reviewable artifacts for incident handling.

Best for: Fits when assessment teams need remote supervision controls and reviewable incident signals, not game-kernel enforcement.

Comparison Table

1
InsperaBest overall
education enterprise
9.4/10
Overall
2
education enterprise
8.7/10
Overall
3
education enterprise
8.6/10
Overall
4
education enterprise
8.5/10
Overall
5
education specialist
8.3/10
Overall
6
education enterprise
7.9/10
Overall
7
enterprise
7.6/10
Overall
8
enterprise
7.1/10
Overall
9
enterprise
6.9/10
Overall
#1

Inspera

education enterprise

Digital assessment software with secure exam delivery and integrity controls.

9.4/10
Overall
Features9.4/10
Ease of Use9.4/10
Value9.4/10
Standout feature

Session-scoped integrity configuration that links monitoring evidence to specific assessment events and moderation queues.

Inspera centers on integrity for high stakes assessments by tying monitoring to a defined exam session and evidence package. Evidence export supports audit workflows because moderators can review the captured artifacts and submission context together. Automation comes from rules that map session signals to review queues for consistent triage.

A key tradeoff is that Inspera is not designed for FPS anti-cheat detection or cheat signature scanning over live gameplay. It fits best when teams need governance, repeatable exam administration, and evidence-driven moderation for proctored tests rather than live adversarial runtime defense.

Pros
  • +Configurable integrity rules that route sessions into review queues
  • +Evidence packages combine submission context with monitoring artifacts
  • +Strong governance for consistent assessment administration across cohorts
  • +API and integration paths support automated provisioning and evidence export
Cons
  • –Not built for game runtime anti-cheat or kernel driver interception
  • –Requires careful configuration to keep integrity rules aligned to content type
  • –Moderation depth can lag behind real-time exploit attempts
Use scenarios
  • Examination governance teams

    Automated review routing for sessions

    More consistent triage

  • Assessment platform engineers

    Provision exams through integrations

    Lower admin effort

Show 2 more scenarios
  • Moderation operators

    Evidence-driven integrity decisions

    Faster adjudication

    Reviewers evaluate captured monitoring signals together with submission context for each exam attempt.

  • LMS and course teams

    Integrity for scheduled assessments

    Reduced integrity variance

    Exam workflows attach integrity monitoring to scheduled tests with policy-level consistency.

Best for: Fits when institutions need evidence-led proctoring workflows with admin control and review automation.

#2

Respondus Monitor

education enterprise

Remote proctoring software that works with LockDown Browser for online exams.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Flagged-attempt review that packages recorded webcam, audio, and screen evidence for targeted proctor investigation.

Respondus Monitor fits teams that need consistent proctoring across many scheduled exam sessions and want evidence packaged for later review. Recorded webcam, audio, and screen evidence supports proctors and academic integrity staff who review only selected sessions instead of watching every attempt start to finish. The tool also supports common assessment workflows where exam launch settings and monitoring coverage must remain aligned with course delivery.

A key tradeoff is that evidence review is inherently post-event because the monitoring outputs rely on recorded artifacts rather than a live enforcement layer in a multiplayer match. Respondus Monitor works best for high-stakes courses and make-up exams where replayable records help adjudicate irregularities and support repeatable session configuration across sections.

Pros
  • +Recorded evidence for webcam, audio, and screen review
  • +Targeted investigation workflow for flagged attempts
  • +Repeatable exam-session configuration across multiple sections
  • +Designed for standardized LMS proctoring operations
Cons
  • –Best results depend on disciplined session setup and expectations
  • –Post-event review model limits real-time enforcement for live gameplay
  • –Requires administrative coordination for consistent coverage mapping
  • –Evidence review time can grow with high exam volumes
Use scenarios
  • Online program administrators

    Standardized LMS assessment monitoring

    Less manual coordination

  • Proctors and integrity staff

    Investigate only irregular attempts

    Targeted investigation workflow

Show 2 more scenarios
  • Testing centers and instructors

    Handle make-up and high-stakes exams

    Replayable evidence per attempt

    Use monitored, recorded sessions as replayable evidence linked to each exam attempt.

  • Education operations teams

    Scale consistent monitoring settings

    Repeatable assessment setup

    Apply consistent proctoring and exam-session settings across multiple sections and high-volume exams.

Best for: Fits when education teams need replayable proctoring evidence and consistent monitoring setup across scheduled assessments.

#3

Honorlock

education enterprise

Online proctoring software for exam integrity in schools and universities.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Live proctor escalation tied to session events, with reviewable artifacts for incident handling.

Honorlock fits organizations that need remote integrity controls where proctors can review and intervene when session behavior crosses risk thresholds. It pairs client-side session enforcement with incident artifacts that support post-session review by instructors or administrators. The governance angle is strongest when multiple assessments require consistent restriction configuration and repeatable supervision workflows.

A concrete tradeoff is that Honorlock’s control model targets remote testing environments more than real-time gameplay cheating in competitive PC titles. Setup also requires careful tuning of restrictions and proctoring policies to reduce false positives that can interrupt legitimate participants. It is most effective when a program already runs timed online assessments and can operationalize review and escalation steps.

Pros
  • +Live escalation supports human review during higher-risk sessions
  • +Configurable session restrictions reduce access to other apps and tabs
  • +Event-based incident artifacts support post-session investigation
  • +Central admin controls help standardize exam integrity settings
Cons
  • –Not designed as a drop-in anti-cheat for PC competitive gameplay
  • –Restriction tuning can require trial runs to limit unnecessary flags
Use scenarios
  • Schools and assessment owners

    Timed remote tests with browsing restrictions

    Fewer navigation-based assistance opportunities

  • Certification providers

    High-integrity compliance exam monitoring

    Standardized remote delivery signals

Show 2 more scenarios
  • Remote hiring teams

    Controlled candidate assessments

    More controlled candidate sessions

    Identity checks and session restrictions help constrain unauthorized assistance in proctored runs.

  • Programs with live oversight

    Human intervention during flagged events

    Immediate interpretation by humans

    Live proctors handle higher-risk moments instead of relying on fully automatic outcomes.

Best for: Fits when assessment teams need remote supervision controls and reviewable incident signals, not game-kernel enforcement.

#4

Proctorio

education enterprise

Browser-based proctoring software with identity verification and exam monitoring.

8.5/10
Overall
Features8.5/10
Ease of Use8.5/10
Value8.5/10
Standout feature

Flagged session reporting for targeted human review during remote exams.

Proctorio provides anti-cheating controls for remote and in-browser assessments using webcam and screen monitoring plus identity capture workflows. It produces session reports and highlights moments for staff review so human adjudication can follow automated signals. It is designed for recurring course testing where assessment teams want consistent supervision across repeated LMS-linked exams.

Pros
  • +Session review workflow helps proctors focus on flagged moments
  • +Browser-based delivery reduces IT friction versus custom client installs
  • +Configurable proctoring settings support standardized course assessments
  • +Identity capture and monitoring support remote CBT integrity needs
Cons
  • –False positives can create extra manual review workload
  • –Coverage depends on environment permissions like camera and screen access
Use scenarios
  • Academic integrity teams

    Triage flagged exam sessions

    Reviewers focus on higher-risk sessions

  • Instructors and course staff

    Apply consistent proctoring settings

    Standardized monitoring across assessments

Show 2 more scenarios
  • Testing operations teams

    Handle incidents during active exams

    Faster handling during active exams

    Live intervention options help operations teams act when alerts require immediate human attention.

  • Computer-based testing program managers

    Supervise remote CBT sessions

    More controlled delivery of remote CBT

    Browser-based controls and session reporting add identity checks and monitoring to remotely delivered CBT.

Best for: Fits when course teams need repeatable remote proctoring for LMS-based quizzes and exams with staff review.

#5

Smowl

education specialist

Online proctoring software focused on identity verification and exam supervision.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Configurable detection rules that feed direct enforcement actions from server-side telemetry events.

Smowl runs an anti-cheat workflow focused on detecting and responding to cheating behavior through telemetry and automation tied to a game server pipeline. It supports configurable detection rules that can be executed server-side, which helps teams avoid relying only on client signals.

Pros
  • +Rule-based detection that can trigger automated enforcement steps
  • +Server-pipeline oriented workflow that reduces client-only dependency
  • +Governance controls for mapping detections to specific actions
  • +Extensibility via event and telemetry integration points
Cons
  • –Not designed as a kernel-level anti-cheat replacement
  • –Tuning detection thresholds takes iterative operational work
  • –Limited coverage for cheat families that require client module visibility
  • –Admin review tooling depends on how telemetry events are structured
Use scenarios
  • Certification assessment organizations

    Support remote certification anti cheating workflows

    Evidence-backed incident escalation

  • Large testing program ops

    Authenticate candidates at scheduled cohorts

    Standardized candidate authorization

Show 2 more scenarios
  • Proctors and integrity reviewers

    Review flagged anti cheat moments

    Focused incident investigation

    Risk-governed actions and structured incident handling help proctors inspect suspicious events with supporting context.

  • Academic integrity managers

    Queue and adjudicate anti-cheat flags

    Repeatable incident handling

    Teams can route detection outcomes into governed review queues for repeatable decisions, notes, and follow-ups.

Best for: Fits when a game team wants server-side cheating detection automation without replacing existing anti-cheat drivers.

#6

ExamSoft

education enterprise

Secure assessment platform with exam delivery, device lockdown, and remote proctoring capabilities.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Exam-specific proctoring and capture policy configuration tied to assessment sessions, enabling consistent artifact collection and later review.

ExamSoft focuses on assessment delivery and remote proctoring workflows, with anti-cheating controls centered on candidate device capture and submission integrity. Admins get exam-level configuration that governs when content, timers, and proctoring artifacts are collected.

Pros
  • +Exam-level configuration keeps proctoring and capture policies consistent across sessions
  • +Submission integrity checks support chain-of-custody style handling for assessments
  • +Artifact capture creates review material for later adjudication workflows
  • +Admin tooling fits education testing operations with repeatable setup patterns
Cons
  • –Best fit targets testing workflows, not PC game cheating scenarios
  • –Device and environment constraints can cause avoidable false positives in atypical setups
  • –Real-time intervention depth is limited compared to kernel or driver-based anti-cheat stacks
  • –Cheat response tooling depends on manual review of captured evidence for edge cases
Use scenarios
  • Medical and nursing education teams

    Run device-capture anti-cheat exams

    Organized testing results

  • Credentialing exam administrators

    Standardize controlled assessments integrity

    Structured exam delivery

Show 2 more scenarios
  • Distributed testing venue staff

    Maintain integrity during offline sessions

    Responses synchronized later

    Offline delivery supports answer capture when connectivity drops, with responses synchronized for later integrity review.

  • Assessment and faculty scoring teams

    Organize anti-cheat artifacts for review

    Artifacts ready for marking

    Submitted response artifacts support faculty marking and post-exam review while anti-cheating policies govern capture timing.

Best for: Fits when institutions need exam capture artifacts and policy enforcement for remote testing workflows.

#7

Mercer Mettl

enterprise

Assessment and remote proctoring platform for secure hiring and certification exams.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Proctoring evidence and integrity review workflow tied to exam administration configuration.

Mercer Mettl is built around exam delivery operations rather than game client instrumentation, so detection results feed into review workflows for test integrity. Evidence handling and session controls support after-the-fact investigation and consistent enforcement across cohorts. A stronger fit appears when exam formats are stable and the testing experience can be standardized with repeatable proctoring configurations.

Pros
  • +Exam operations focus with reviewable proctoring evidence
  • +Exam administration controls support consistent cohort handling
  • +Works well for remote testing where integrity needs audit trails
  • +Anomaly outputs align with investigation workflows
Cons
  • –Not designed for game-engine anti-cheat detection paths
  • –False positives can require manual review capacity
Use scenarios
  • Certification program admins

    Remote candidate integrity reviews

    Faster, documented misconduct handling

  • Assessment delivery teams

    Large cohort proctoring consistency

    More uniform enforcement

Show 1 more scenario
  • Learning and development ops

    Integrity checks for skills tests

    Reduced manual follow-ups

    Operations manage identity and session integrity for remote skills assessments.

Best for: Fits when training programs need governed remote test integrity and evidence-driven investigations.

#8

Talview

enterprise

Remote proctoring and assessment integrity software for exams and certifications.

7.1/10
Overall
Features7.1/10
Ease of Use7.2/10
Value7.0/10
Standout feature

Evidence-first session capture for adjudication of candidate integrity issues.

Talview is designed for high-stakes assessments where fraud risk comes from identity mismatch, unauthorized assistance, and impersonation during timed sessions. Teams typically configure proctoring settings for session capture and monitoring, then use recorded artifacts to investigate incidents and adjudicate outcomes. This model fits evaluation programs where governance and audit trails matter more than kernel-level instrumentation.

Pros
  • +Session evidence supports incident review and audit trails
  • +Identity and monitoring workflows align with assessment adjudication
  • +Administrative configuration supports consistent enforcement across cohorts
  • +Case handling reduces manual back-and-forth during disputes
Cons
  • –Not designed for PC game client runtime anti-cheat
  • –Monitoring depth depends on configurable capture signals
  • –Higher governance overhead for fine-grained enforcement policies
  • –Lower deterrence against in-game cheating tactics
Use scenarios
  • Talent acquisition teams

    Proctoring for remote coding interviews

    Faster dispute resolution

  • Assessment operations

    Governed monitoring across multiple cohorts

    Lower enforcement variability

Show 1 more scenario
  • Compliance and risk teams

    Audit-ready evidence for investigations

    Improved audit defensibility

    Stores reviewable monitoring artifacts to support internal and external scrutiny.

Best for: Fits when remote assessments need identity checks, monitoring artifacts, and admin case workflows.

#9

XIGNCODE3

enterprise

Wellbia game security software for detecting cheats, code injection, and client tampering.

6.9/10
Overall
Features6.9/10
Ease of Use6.9/10
Value6.9/10
Standout feature

Game-integrated enforcement checks that run based on the title’s client lifecycle states.

XIGNCODE3 enforces anti-cheat controls for PC games through a client-side module that monitors process and runtime behavior during gameplay. It focuses on detecting common cheating methods by integrating with the game client and applying defined checks that include game-specific integrity validation.

Pros
  • +Integrates at the game client level for runtime enforcement
  • +Supports game lifecycle check scheduling within title flow
  • +Uses detection logic that targets known cheat behavior patterns
  • +Works as a bundled middleware component for specific titles
Cons
  • –Requires per-game integration effort to get consistent coverage
  • –Limited admin-grade observability compared with fully governed services
  • –Cheat detection tuning can increase false positive risk
  • –Compatibility constraints can appear with hardened OS security settings
Use scenarios
  • PC game security teams

    Add client enforcement to a new title

    Reduced match tampering

  • Live-ops anti-cheat engineers

    Triage suspected cheating sessions

    Faster enforcement actions

Show 1 more scenario
  • Studios with multiple PC SKUs

    Maintain consistent checks across builds

    More uniform deterrence

    Studios coordinate XIGNCODE3 configuration per client build to keep enforcement aligned across versions.

Best for: Fits when a game team can integrate anti-cheat middleware into each PC title build.

Conclusion

After evaluating 9 anti cheating software, Inspera stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Inspera

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Anti Cheating Software

How do game anti-cheat tools like BattlEye, Easy Anti-Cheat, and VAC differ from exam proctoring tools such as Proctorio?
BattlEye, Easy Anti-Cheat, and VAC focus on real-time gameplay runtime integrity and client-to-server fairness signals. Exam proctoring tools such as Proctorio focus on identity capture and behavior review during remote assessments, so they do not act as a live substitute for PC cheat signature scanning in an FPS client.
Which tools support API or backend integration when game teams want server-side detection signals?
Smowl is designed for wiring into an existing game backend so teams can run configurable detection rules from server-side telemetry events. By contrast, XIGNCODE3 is deployed as part of a title build and operates through a client-side module, so it relies more on middleware integration than on backend rules automation.
How do SSO and access controls show up in exam-focused platforms like ExamSoft, Respondus Monitor, and Talview?
ExamSoft uses exam administration governance so staff can enforce consistent settings across sessions and review collected integrity artifacts. Respondus Monitor launches proctored sessions through course delivery workflows and packages recorded evidence for structured review. Talview centers case workflows tied to session artifacts and identity checks, so the access model supports investigation and adjudication rather than live gameplay enforcement.
What data migration work comes up when switching proctoring platforms such as Honorlock to a new provider?
Honorlock and similar platforms store session configuration and incident artifacts, so migration typically means moving course or assessment setup plus any required evidence retention artifacts. ExamSoft and Respondus Monitor add exam-event or attempt-event packaging, so migration needs a plan for mapping old session evidence workflows to the target platform’s review queues.
When teams need granular admin controls, how do Inspera and Mercer Mettl handle it differently than game middleware?
Inspera and Mercer Mettl scope integrity monitoring to defined exam sessions and evidence packages so admins can route signals into review and moderation workflows. Game middleware like XIGNCODE3 ties control to the title’s client lifecycle states, so admin governance is mainly about how and when checks run in-game rather than about exam evidence case routing.
How do audit logs and reviewability work when incidents need evidence trails, not just detections?
Inspera ties monitoring evidence to a session-scoped package so moderators can review captured artifacts with submission context. Honorlock and Proctorio produce reviewable session event signals and recorded artifacts, which staff can examine during incident handling. Smowl can trigger server-side enforcement actions based on telemetry risk thresholds, so the evidence trail often lives in backend event records rather than only in operator review recordings.
What breaks if an organization tries to use Talview as a live anti-cheat stack for PC games?
Talview is built for remote assessment identity mismatch, unauthorized assistance, and impersonation workflows, so it does not cover in-game runtime integrity checks for competitive clients. Easy Anti-Cheat, BattlEye, and VAC address real-time cheating methods through gameplay instrumentation and client-server fairness signals, so relying on Talview would leave speedhack, wallhack, and overlay-style gameplay manipulation gaps.
How does integration effort differ between middleware like XIGNCODE3 and backend rule systems like Smowl?
XIGNCODE3 is integrated into each supported PC title build, so teams must coordinate middleware linkage with the client lifecycle and release process. Smowl shifts integration work toward backend wiring and telemetry event ingestion so detection rules run server-side without replacing existing anti-cheat drivers end to end.
Which tool categories produce false positives most often, and what does that tradeoff look like in practice?
Exam proctoring tools such as Proctorio and Respondus Monitor trade higher sensitivity to student behavior context for human review, so the main mitigation path is targeted incident review rather than immediate gameplay enforcement. Game anti-cheat middleware such as VAC, BattlEye, and Easy Anti-Cheat trades enforcement speed for risk of blocking edge-case client behavior, so teams typically reduce harm by tuning configuration and narrowing what actions enforcement can take.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Anti Cheating Software

The biggest differences come from how reliably each tool detects cheats during play and how much friction it adds for real players, especially under your game’s update cadence and traffic patterns. Start with detection accuracy and then check false positives and ban handling.

Detection coverage for common cheat paths

Why it matters

Detection coverage for common cheat paths determines whether cheats fail immediately or shift to a different method. In this category, broad coverage usually matters more than a single detection angle.

How to check

On a demo, ask how they handle the cheat methods typically used in the wild, and what signals they rely on during match sessions. Review what they log or expose when a detection happens so you can confirm it maps to real gameplay events.

False positive control for legitimate players

Why it matters

False positive control decides whether honest players get flagged, which can damage trust and retention. It also tells you how carefully the tool separates suspicious behavior from edge-case play.

How to check

Ask for their in-product controls that reduce mistaken hits, like configurable sensitivity or allowlists for known benign behaviors. Run a realistic test session with normal client actions and compare the incident rate to what they claim for similar environments.

Client and server integration depth

Why it matters

Integration depth affects what the tool can observe and how quickly it can react during live matches. If integration is shallow, detection often misses key context and relies on weaker signals.

How to check

Request a walkthrough of where the tool runs and what events it consumes from your game servers and clients. Confirm there is an API or event interface you can hook into for match start/stop, player actions, and enforcement outcomes.

Enforcement workflow and ban handling

Why it matters

Enforcement workflow and ban handling matter because detection is only useful when actions are consistent and reversible when needed. Clear ban lifecycle controls reduce operational risk.

How to check

In a demo, check whether you can choose actions by severity, set appeal/review states, and export reasons for enforcement. Ask how overrides work when you confirm a false positive.

Operational telemetry and audit logging

Why it matters

Operational telemetry and audit logging help you troubleshoot detections and prove what happened to admins and support teams. Better logs also speed up tuning when your game changes.

How to check

Look for audit log visibility tied to player, match, and action timing. Confirm you can filter and export events and that logs include enough detail to differentiate detections from enforcement.

Update cadence and game compatibility

Why it matters

Update cadence and game compatibility decide how long detection stays effective after game patches. Cheat tools evolve fast, and compatibility gaps create detection blind spots.

How to check

Ask how the system handles your game client updates and server version changes, and what they require from you at release time. Verify they document a compatibility process and show recent change notes tied to game update cycles.

Red flags

  • High detection claims without a clear demo of incident reasons
  • Enforcement controls limited to one-way actions with no override path
  • Telemetry that can’t be tied back to match context for tuning

Fit by situation

  • If you run competitive matches and need fast in-session responses, prioritize enforcement workflow and ban handling.
  • If your player base includes lots of varied hardware and play styles, prioritize false positive control for legitimate players.
  • If you change the game frequently, prioritize update cadence and game compatibility.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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