- SolutionsUSE CASES
Protect users’ accounts
Slash fraud losses
Prevent spam and bots
International Revenue Share Fraud
Stop fake account registrations
Stop malicious scraping
Secure API traffic
Banking & fintech accounts
reCAPTCHA Alternative: Why 10 companies switched from reCAPTCHA to Arkose Labs to win against bots.
Bad Bots and Beyond: 2023 State of the Threat
With Arkose Labs’ 2023 State of the Threat Report, you will find extensive information and best practices around
USE CASESProtect users’ accounts
Slash fraud losses
Stop fake account registrations
International Revenue Share Fraud
Stop malicious scraping
Banking & fintech accounts
Secure API traffic
INDUSTRIESProtect users’ accounts
Banking & fintech accounts
Stop malicious scraping
Stop fake account registrations
International Revenue Share Fraud
Secure API traffic
Prevent spam and bots
Banking & fintech accounts
Slash fraud losses
- ProductsPRODUCTS
Stop bot attacks by driving up adversarial effort and cost
Assess email risk at bot scale
Detect and block reverse-proxy phishing attacks
Unique, customizable & performance improvement challenges
Transparent fraud detection
Email risk detection with bot mitigation
Real-time attack deterrence
Challenges that Revolutionized CAPTCHAs
WHY ARKOSE LABSSabotage attacker’s ROI
Industry-first SLA guarantee
Industry-first SLA guarantee
Industry-first SLA guarantee
SERVICES & SUPPORTProfessional services expertise
Fast, reliable support
Flexible open platform
- Industries
Proactively fight fraud
Accelerate secure commerce
Protect gaming platforms
Protect web-based services
Protect content & accounts
Stop large scale attacks
Broker P2P trust
Adobe: Adobe Reduces Fake Account Risk and Improves User Experience with Arkose Labs
- ResourcesINSIGHTS
Read our thought leadership blogs
Customer success stories
Videos from the Arkose Labs team
EVENTSEDUCATIONExpert Guide to Account & Identity Fraud
THOUGHT LEADERSHIPData-driven research reports
Fraud prevention guides
Fraud thought leadership
Learn how Arkose Labs prevents fraud
View all Arkose Labs content
Reference Guide: Discover SMS Toll Fraud and tailor insights to your industry
INSIGHTSEVENTSEDUCATIONTHOUGHT LEADERSHIP - Company
Pioneers in Fraud Prevention
Trusted by global brands
The latest news featuring Arkose Labs
Meet with us at industry events
Learn more about our founding, approach, and industry accolades.
- Customers
All Smart Risk Decisions Start With Powerful Detection
Despite significant investments in fraud and bot detection, attackers are more adept than ever at circumventing detection and costing businesses money. Powerful detection that starts at the top of the customer journey enables you to catch attacks faster, reduce false positives and false negatives, and determine the most effective response to sabotage attackers’ efforts.
DYNAMIC DECISION ENGINE
Improve Decisioning Confidence
Arkose Labs’ decision engine is uniquely designed to balance detection precision and recall, blending the transparency of rules with the accuracy of machine learning models. A dynamic risk score reduces the complexity of decisions, giving fraud teams clear and confident insight to respond faster to high-risk traffic.
- Powered by 150+ adaptive global rules
- Transparent risk scoring
- Correlates real-time, historic, customer-specific, and global data
- Customizable by attack target, industry vertical and use cases
Get 70+ Data Attributes for Your Data Models
A machine-given score without supporting data is no longer enough. Arkose Labs provides 70+ raw risk insights for greater visibility and intelligence that you can use to take action.
Get 35x More Data than reCAPTCHA to Enhance Risk Models
A machine-given score without supporting data is no longer enough. Arkose Labs provides 70+ raw risk insights for greater visibility and intelligence that you can use to take action.
Insights about risk degree and type. Followed by a more precise score and risk calculation factors
Transparency via details of what happened in the user session
Signatures based on, and data from, the browser and device attributes
Signatures based on and enriched data from IP and network attributes
How often IPs are seen over a given time period to detect high-volume and low-and-slow attacks
{
"session_risk": {
"risk_category": "BOT-STD",
"risk_band": "Medium",
"global"
{
"score": "15",
"telltales":[
{
"name": "g-h-cfp-1000000000",
"weight": "7"
}
{
"name": "g-os-impersonation-win",
"weight": "8"
}]
}
"custom"
{
"score": "15",
"telltales":[
{
"name": "outdated-browser-yandex-2",
"weight": "7"
}
{
"name": "outdated-os-yandex",
"weight": "8"
}]
}
},
"session_details": {
"solved": true,
"session": "22612c147bb418c8.2570749403",
"session_created": "2021-08-29T23:13:03+00:00",
"check_answer": "2021-08-29T23:13:16+00:00",
"verified": "2021-08-30T00:19:32+00:00",
"attempted": true,
"security_level": 30,
"session_is_legit": false,
"previously_verified": true,
"session_timed_out": true,
"suppress_limited": false,
"theme_arg_invalid": false,
"suppressed": false,
"punishable_actioned": false,
"telltale_user": "eng-1362-game3-py-0.",
"failed_low_sec_validation": false,
"lowsec_error": null,
"lowsec_level_denied": null,
"ua": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36",
"ip_rep_list": null,
"game_number_limit_reached": false,
"user_language_shown": "en",
"telltale_list": [
"eng-1362",
"eng-1362-game3-py-0."
],
"optional": null
},
"fingerprint": {
"browser_characteristics": {
"browser_name": "Chrome",
"browser_version": "92.0.4515.159",
"color_depth": 24,
"session_storage": false,
"indexed_database": false,
"canvas_fingerprint": 1652956012
},
"device_characteristics": {
"operating_system": null,
"operating_system_version": null,
"screen_resolution": [
1920,
1080
],
"max_resolution_supported": [
1920,
1057
],
"behavior": false,
"cpu_class": "unknown",
"platform": "MacIntel",
"touch_support": false,
"hardware_concurrency": 8
},
"user_preferences": {
"timezone_offset": -600
}
},
"ip_intelligence": {
"user_ip": "10.211.121.196",
"is_tor": false,
"is_vpn": true,
"is_proxy": true,
"is_bot": true,
"country": "AU",
"region": "New South Wales",
"city": "Sydney",
"isp": "Amazon.com",
"public_access_point": false,
"connection_type": "Data Center",
"latitude": "-38.85120035",
"longitude": "106.21220398",
"timezone": "Australia/Sydney"
},
"aggregations": {
"ip":{
"short_term": {
"interval_minutes": 60,
"count": 22,
"threshold": 11
},
"long_term": {
"interval_minutes": 720,
"count": 22,
"threshold": 50
}
}
}
}
Data about risk degree and type.
{
"score": 0-100,
"reasons": [
enum (CLASSIFICATION_REASON_UNSPECIFIED, AUTOMATION, UNEXPECTED_ENVIRONMENT, TOO_MUCH_TRAFFIC, LOW_CONFIDENCE_SCORE)
]
}
24/7 SOC MONITORING & TUNING
Uncover More Threats With Dedicated SOC Support
Our 24/7 SOC works as an extension of your team to thwart attacks, fine-tune detection, and deliver actionable insights - without putting a strain on your internal resources.
- Emerging attack pattern analysis
- Supervised ML models
- Collaborative, ongoing tuning
- Under-attack and special event support
Powered by Cross-Industry Network Intelligence
Arkose Labs’ customers fight better together, thanks to 3B anonymized attack patterns uncovered each year across the Arkose Labs Global Network.