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Categories: Blog, IAM, Ping Identity

Real-time risk detection for smarter identity decisions.

Real-time risk detection for smarter identity decisions.

Modern fraud doesn’t announce itself. It impersonates real users, mimics human behavior, and scales fast with bots and automation. Static rules and traditional tools are too slow – and too blunt – to keep up.

PingOne Protect, from Ping Identity, delivers real-time, machine-learning-based risk scoring, empowering identity and fraud teams to detect and act on threats before access is granted. It continuously analyzes behavioral, device, and network signals to assess whether a user should be challenged, blocked, or allowed to continue.

ProofID helps organizations integrate PingOne Protect into complex identity architectures – and prove its impact fast with a structured Proof of Value (POV).

Why Adaptive Fraud Detection Is a Must-Have

Legacy identity defenses were built for a simpler threat model – one user, one password, one challenge. That model no longer applies. Attackers now:

  • Reuse compromised credentials
  • Create synthetic identities at scale
  • Use bots to mimic normal behavior
  • Exploit MFA fatigue and rigid policies

PingOne Protect changes the game by embedding adaptive risk detection directly into the identity layer – evaluating every interaction in context and responding instantly.

How PingOne Protect Works

PingOne Protect is a cloud-native, API-driven fraud detection service that integrates directly with the Ping Identity Platform. It analyzes a wide array of signals to generate a real-time risk score (0–100), complete with explanation and confidence level.

Signal Categories:

  • Device intelligence (fingerprint, OS, emulator detection)
  • Network insights (IP reputation, proxy detection, ASN)
  • Behavioral biometrics (mouse movement, typing cadence, navigation)
  • Location anomalies (geo-velocity, impossible travel)
  • Threat history (known risk patterns, session analysis)

This risk score feeds directly into PingOne DaVinci, PingFederate, PingAM, or PingOne AIC to automate decisions such as:

  • Allow access (low risk)
  • Trigger step-up authentication (medium risk)
  • Block access or notify SOC (high risk)

Key benefits

Stop fraud in real time

Block account takeovers, bots, and fake accounts before they succeed

Minimize user friction

Reduce unnecessary MFA prompts for trusted users

Gain visibility

Surface live risk signals that static rules can’t detect

Scale intelligently

Cloud-native architecture ready for enterprise environments

Integrate seamlessly

Works with PingOne, PingFederate, DaVinci, and other Ping Identity services

Use Cases Across High-Risk Industries

  • Financial Services – Prevent high-risk access attempts, account takeover, and synthetic fraud – without introducing excessive friction for customers.
  • Retail & eCommerce – Block bots, prevent promotional abuse, and defend against fake account creation – without harming conversion rates.
  • Healthcare – Ensure that only authorised users access patient systems – even across distributed networks and BYOD environments.
  • Higher Education – Safeguard student and staff access across open networks and decentralized applications.

Ready to See PingOne Protect in Action?

To help you evaluate PingOne Protect in your environment, we offer a low-risk, fixed-price POV. Over four weeks, we deploy PingOne Protect in listen-only mode, analyze risk signals, and deliver a full business impact report. You’ll gain:

  • A view of fraud that PingOne Protect would have blocked
  • MFA challenge reduction opportunities
  • Signal analysis and risk scoring dashboards
  • A costed roadmap for full deployment

Why ProofID?

We’re more than a delivery partner – we’re identity security experts. As a six-time Ping Delivery Partner of the Year, ProofID works across sectors where fraud and compliance intersect with complex access requirements.

We’ve deployed PingOne Protect in banking, retail, healthcare, and higher education environments – tailoring each implementation to maximize threat coverage, user experience, and ROI.

Ready to Detect Risk in Real Time?

Let’s put PingOne Protect to the test – in your environment, with your data, and your identity flows.

See the threats you’re missing. Act before they become breaches.

FAQs

It provides real-time risk evaluation for user interactions across the identity journey. It analyzes behavioral, device, location, and network data to generate a risk score used to control access—block, allow, or challenge—before fraud can occur.
Signals include device fingerprinting, geolocation, IP reputation, behavioral biometrics (e.g. mouse movement, typing speed), OS/browser configurations, and known threat patterns.
PingOne Protect uses pre-trained machine learning models hosted in Ping’s cloud. These models continuously adapt to new attack patterns, producing a score between 0–100, with metadata and explanations.
No. PingOne Protect is privacy-first and does not store or retain personally identifiable information (PII). All analysis is performed in real time using anonymised signals.
It works natively with PingOne DaVinci, PingFederate, PingAccess, PingAM and PingOne AIC and can be accessed via REST APIs. You can trigger the risk engine at key points (login, registration, transaction) and configure policies based on score thresholds.
Yes. You control how your system responds to the risk score—such as requiring MFA at medium risk, or blocking at high risk. These decisions are defined in your identity orchestration or policy layer.
PingOne Protect is effective against:

  • Credential stuffing
  • Account takeovers (ATO)
  • Automated bot attacks
  • Fake account creation
  • Risky access attempts based on IP, device, or behavior

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