Darwinium for Account Security
Protect Every Touchpoint in the Customer Journey with Unified Analytics and Actions
Protect Every Customer Journey
- Protect new touchpoints and customer journeys from within the Darwinium portal, rather than waiting for engineering and IT resource to make code changes.
- Remove data siloes with a single source of truth of device, location and customer behavior intelligence across the entire digital journey.
- Prevent fraudsters pivoting to a new vulnerability or unprotected page, such as change of details, new shipping address or rewards redemption. Tailor offers and experiences to trusted and high-value customers.
Leverage Bot Intelligence Everywhere
- Automated bot attacks are becoming more intelligent, bypassing rate control measures and Captchas to infiltrate customer accounts.
- Harness intelligence from upstream behaviors to make more informed decisions at payment, and feedback bot behaviors from downstream interactions to enhance risk decisions upstream.
- Take action by triggering a step-up, blocking access or dynamically throttling traffic to slow down bots.
Streamline Trusted Customer Onboarding
- Separate trusted and risky new account creations / new app registrations, detecting instances of credential testing or unusual customer identity data.
- Uncover suspicious connections between users and accounts, such as multiple accounts attached to one email address or device.
- Seamlessly integrate third-party identity verification checks and tailor responses according to risk.
Prevent Account Takeover Attacks
- Protect trusted user accounts from brute force and social engineering account takeover attempts.
- Identify high-risk traffic using proxies, emulators or bypassing two-factor authentication protocols.
- Reduce friction for trusted customers legitimately using private browsing or logging in from new locations. Use intelligence from login events to dynamically tailor the customer journey.
Secure Online Payments with Journey Context
- Identify bot behaviors upstream, reducing cost and volume of step-up authentication strategies at checkout.
- Reduce risk of card testing behaviors via exposed or unprotected back-end APIs.
- Identify payment journeys indicative of scams, such as unusual payment volumes or velocities, or signs of social engineering and remote access.
Protect New API Endpoints
- API sprawl is creating an environment that adversaries are targeting - bypassing authentication, stealing data, re-routing microservices / web flows or abusing misconfigured business logic.
- Darwinium can detect, monitor and protect APIs as they are added, modified and grouped across digital journeys.
- Leverage full behavioral profiling on every API request to generate features and signals which detect normal and anomalous behavior.
Current Account Security Challenges
Fraud and abuse targeting customer accounts is more complex and fraudsters more successful. Fraud-as-a-service providers use AI to scale and enhance the efficacy of attacks, pivoting to new touchpoints and unprotected endpoints in minutes. Businesses are often hamstrung by legacy solutions that are cumbersome to manage, hard to update, and fall foul of consumer privacy preferences.
Point Solution Siloes
Legacy fraud solutions protect key moments in the customer journey, such as logins or payments, but often lack the context and visibility of the entire customer journey. Fraudsters use this to their advantage by exploiting new touchpoints and unprotected API endpoints.
AI-Facilitated Attacks
Generative AI is being utilized by fraudsters to enhance their tactics and increase their likelihood of success. Use cases include email, message and image creation for social engineering, chatbots, deepfakes, lists of password combinations for credential stuffing attacks, code creation and adversarial AI.
API Sprawl
As digital businesses grow, APIs are increasingly adopted to enable interoperability between different systems, applications, and services. This creates a larger attack surface for fraudsters to exploit, and requires complete visbility, logging and monitoring to protect new or exposed API endpoints.
Low-and-Slow Bots
Unlike traditional bots that perform rapid, high-volume actions, low-and-slow bots mimic human behavior. This makes them harder to detect via rate limits or legacy defenses, and more likely to infiltrate user accounts.
Stolen & Spoofed Identities
Stolen and spoofed identities are used to mimic legitimate users and exploit weaknesses in authentication and verification processes. This data is often combined with social engineering to divulge one-time passcodes or missing login data.
Scams & Social Engineering
Scams elicit a trusted customer into making a booking or payment directly to a fraudster. They use extremely effective tactics to convince customers they are buying a legitimate product or service, using generative AI, fake websites and listings and remote access to increase success.
The Darwinium Difference: Context-Aware Account Security, from the Perimeter Edge to Customer Interactions
Security and fraud teams often operate with the dual challenges of data and operational siloes, and an incomplete view of risk across the user journey. Darwinium brings fraud prevention to the perimeter edge, providing visibility and context of user behavior across complete user journeys. Protect user accounts from automated bot attacks, brute force and social engineering account takeover attempts, authorized and unauthorized payment fraud.
Continuous Visibility Across Every User Journey
Unify intelligence across security, fraud and customer experience teams by creating a single view of user behavior, from pre-authentication, through onboarding, login and payments. Integrate via your CDN to simplify customer journey orchestration. Cover additional touchpoints with simple, real-time configurations in the Darwinium portal.
Conditionally Orchestrate Customer Journeys
Levereage Darwinium's integrated decision platform that includes features, rulesets and models which are configurable by no-code GUIs, low-code or full code options to suit all user groups. Conditionally orchestrate any third party data source with ease, based on live interactions. Add / reduce friction or block transactions based on risk. Inject dynamic, tailored messaging, call an API to do an additional authentication check or block a transaction in real time.
Identify Trusted Users Blocked by Binary Risk Decisions
Layer behavioral biometrics and behavioral analytics with device and location intelligence to identify bots that are bypassing binary controls, and good users who are getting caught in the net. Use context from downstream decisions, for example at checkout or payment, to better inform which traffic to block or step-up during earlier interactions. Reduce step-ups for good users, preserving operational budget for genuinely high-risk transactions.