How it WorksNetacea’s enterprise account takeover behavioural and machine learning algorithm looks at millions of data points to identify and mitigate credential stuffing and brute force attacks leading to account takeover.
- Stay ahead of automated account takeover attacks by identifying the attack fast
- Build on your WAF security and stop the bots that get through
- Add a vital layer of protection against credential stuffing
- Protect your mobile apps without SDKs or additional code
- Accurately differentiate ATO attacks and normal login activity
Machine Learning Account Takeover Detection
Mitigate malicious bots that attempt to gain access to user accounts. Netacea’s advanced machine learning approach detects automated account takeover attempts at the login stage, identifying and preventing bot attacks.
Prevent Account Takeover Attacks
Credential stuffing and credential cracking are cited by OWASP (OAT-007 and OAT-008) as the most common techniques for hackers to takeover user accounts.
Credential stuffing bots automate login attempts using stolen credentials to access accounts and conduct fraudulent activities posing as legitimate users. These attacks are hard to detect, with advanced bots behaving like genuine users to evade detection. A new approach is needed to separate human from non-human traffic.
Mitigate Sophisticated Malicious Bots
Netacea uses multiple layers of signals for traffic inspection which all feed into our Intent Analytics and advanced machine learning capabilities.
Our detection algorithms are fine-tuned using large data sets (supervised learning), identifying patterns in known good and bad requests using variables such as user behaviour, user agent, visitor, geo location, device and many more to analyse, identify and prevent current and future attacks.
Transparent Threat Intelligence
Once the Netacea solution is deployed, the sophisticated machine learning engine utilises live anomaly detection to highlight irregular, malicious sources of traffic in your secure dashboard.
Netacea is constantly learning more about your site traffic to improve detection and present this data back to you. Choose your risk response by blocking, analysing or authorising traffic with a flexible, policy-based approach to mitigation.
Complements existing WAF technology
Web Application Firewalls are designed to filter out malicious activity that could exploit vulnerabilities on your website, while sophisticated bots exploit business logic by mimicking human behaviour often slip through.
Netacea adds a crucial layer of protection beyond the WAF without relying on static rules that can often result in high proportions of false positives/negatives.
Choice of ImplementationOur flexible cloud-based approach allows for swift deployment, elastic scalability, high performance and availability without the limitations of hardware appliances.
- 6.8MCredential attack
- 7.4%Of all website traffic
was credential stuffing
Choose a dedicated bot management specialist to find and prevent the most sophisticated threats.
- Bot detection with machine learning at the core
- Block malicious bots, not humans
- Rapid attack response and mitigation