All Smart Risk Decisions Start With Powerful Detection

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.

All Smart Risk Decisions Start With Powerful Detection

Unearth Fraudsters Amidst Good Users

Adapt to Evolving Bot & Fraud Farm Attacks Quickly

Make More Confident Response Decisions

Defense-In-Depth Detection To Deter Attacks

Multi-layered detection drives up the cost for attackers to evade defenses, while providing better insight and greater decision confidence across the customer journey.

Device Intelligence

Device Intelligence

Arkose Bot Manager dynamically analyzes device data and uses self-learning models to identify spoofing and evasion techniques.

  • Device fingerprint randomization
  • Distinguish legitimate signatures from outliers
  • Models adapt to your digital ecosystem & traffic
IP & Network Intelligence

IP & Network Intelligence

Identify high-risk connections using IP intelligence data to assess the user geolocation, network, connection type, and reputation.

  • Scraping botnets leveraging data centers
  • Credential stuffing load balancing through proxies and VPNs
  • Account creation from unauthorized locations
Behavioral Analytics

Behavioral Analytics

Our real-time data aggregation engine assesses behavior signals to detect deviations from acceptable traffic patterns.

  • Time based anomalies
  • Sudden acceleration or deceleration tracking
  • Frequency based patterns

DYNAMIC DECISION ENGINE

Improve Decisioning Confidence

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
Improve Decisioning Confidence

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.

{
  "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
        }
      }
    }
}
{
  "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

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
Uncover More Threats With Dedicated SOC Support
Powered by Cross-Industry Network Intelligence

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.

Trusted by the World’s Leading Companies

“We needed a more robust solution; we weren’t getting any insights into the data with our old solution. Arkose Labs provided us with custom data and insights that we can share across teams internally.”

Devin Ertel

CISO, Blackhawk Networks

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Unearth more attackers with Arkose Bot Manager. Request a demo today.