Fortinet Forti Web

Web Application and API Protection

FortiWeb is a web application firewall (WAF) that protects web applications and APIs from attacks that target known and unknown exploits and helps maintain compliance with regulations.

Using machine learning to model each application, FortiWeb defends applications from known vulnerabilities and from zero-day threats. High performance physical, virtual appliances, and containers deploy on-site or in the public cloud to serve any size of the organization—from small businesses to service providers, carriers, and large enterprises.

 

 Highlights

•  Machine learning that detects and blocks threats while minimizing false positives
• Advanced Bot Mitigation effectively protect web assets without imposing friction on legitimate users
• Protection for APIs, including those used to support mobile applications
• Enhanced protection with Fortinet Security Fabric integration
• Simplified attack investigation with Threat Analytics
• Third-party integration and virtual patching

 

 Features

 FortiWeb 100F, 400F, 600F, 1000F, 2000F, 3000F, 4000F, VM, and Container

 Web Application Protection

Multi layer protection against the OWASP Top 10 application attacks including machine learning to defend against known and unknown attacks.

API Protection

Protect your APIs from malicious actors by automatically enforcing positive and negative security policies. Seamlessly integrate API security into your CI/CD pipeline.

Bot Mitigation

Protect websites, mobile applications, and APIs from automated attacks with advanced bot mitigation that accurately differentiates between good bot traffic and malicious bots. FortiWeb Bot Mitigation provides the visibility and control you need without slowing down your users with unnecessary captchas or challenges.

Machine Learning Improves Detection and Drives Operational Efficiency

FortiWeb’s multi-layer approach provides two key benefits: superior threat detection and improved operational efficiency.

FortiWeb’s ability to detect anomalous behavior relative to the specific application being protected enables the solution to block unknown, never-before-seen exploits, providing your best protection against zero-day attacks targeting your application.

Operationally, FortiWeb machine learning relieves you of time-consuming tasks such as remediating false positives or manually tuning WAF rules. FortiWeb continually updates the model as your application evolves, so there is no need to manually update rules every time you update your application.

FortiWeb enables you to get your code into production faster, eliminating the need for time-consuming manual WAF rules tuning and troubleshooting the false positives that plague less advanced WAFs.

AI-based Threat Analytics Help Zoom In on the Most Important Threats

Without better tools, security teams risk becoming overwhelmed by the volume of events, with many of those events turning out to be of low value when seen in isolation—or even worse, turning out to be false positives after further investigation. This alert fatigue can result in critical security events being missed or overlooked. FortiWeb Threat Analytics uses machine learning algorithms to identify attack patterns across your entire application attack surface and aggregate them into comprehensible security incidents. The solution separates significant threats from informational alerts and false positives by identifying patterns and assigning a severity to help your security team focus on the threats that matter. Investigating security alerts requires context and the ability to connect the dots across multiple events over time. FortiWeb Threat Analytics removes the complexity that comes from manually evaluating alerts by evaluating thousands of alerts and grouping those alerts into incidents based on the patterns identified. With this streamlined view, SOC analysts can focus their efforts on the important threats.

 

Highlights

Comprehensive Web Application Security

Using an advanced multi-layered and correlated approach, FortiWeb provides complete security for your web-based applications from the OWASP Top 10 and many other threats. FortiWeb’s first layer of defense uses traditional WAF detection engines (e.g. attack signatures, IP address reputation, protocol validation, and more) to identify and block malicious traffic, powered by intelligence from Fortinet’s industry leading security research from FortiGuard Labs. FortiWeb’s machine learning detection engine then examines traffic that passes this first layer, using a continuously updated model of your application to identify malicious anomalies and block them as well.

API Discovery and Protection

 Fueling the digital transformation APIs have become increasingly popular, providing the backbone for mobile applications, automated business to business operations and ease of management across applications. However, with their popularity they also increase the attack surface with additional exposed application surfaces that organizations must secure. Fortinet’s FortiWeb web application firewall provides the right tools to address threats to APIs. FortiWeb API Discovery and Protection uses machine learning algorithms to automatically discover APIs by continuously evaluating application traffic. Discovery is an integral role for establishing a positive security model and FortiWeb protects your critical APIs based on your profiled API inventory. FortiWeb can also integrate out of the box policies together with an automatically generated positive security model policy that is based on your organization’s schema specification (OpenAPI, XML and generic JSON are supported schemas) to protect against API exploits. FortiWeb schema validation can be integrated into the CI/CD pipeline, automatically generating an updated positive security model policy once the API is updated.

Bot Mitigation

FortiWeb protects against automated bots, webs scrapers, crawlers, data harvesting, credential stuffing and other automated attacks to protect your web assets, mobile APIs, applications, users and sensitive data. Combining machine learning with policies such as threshold based detection, Bot deception and Biometrics based detection with superior good bot identification FortiWeb is able to block malicious bot attacks while reducing friction on legitimate users. With advanced tracking techniques FortiWeb can differentiate between humans, automated requests and repeat offenders, track behavior over time to better identify humans from bots and enforce CAPTCHA challenges when required. Together with FortiView, FortiWeb’s graphical analysis dashboard organizations can quickly identify attacks and differentiate from good bots and legitimate users.

 FortiWeb’s machine learning accurately detects anomalies and identifies which are threats. Unlike prevailing auto-learning detection models used by other WAF vendors that treat every anomaly as a threat, FortiWeb’s precision nearly eliminates false positive detections and catches attack types that others cannot.

Deep Integration into the Fortinet Security Fabric and Third-Party Scanners

As the threat landscape evolves, many new threats require a multi-pronged approach for protecting web-based applications. Advanced Persistent Threats that target users can take many different forms than traditional single- vector attack types and can evade protections offered only by a single device. FortiWeb’s integration with FortiGate and FortiSandbox extend basic WAF protections through synchronization and sharing of threat information to both deeply scan suspicious files and share infected internal sources.

 FortiWeb also provides integration with leading third-party vulnerability scanners including Acunetix, HP WebInspect, IBM AppScan, Qualys, ImmuniWeb and WhiteHat to provide dynamic virtual patches to security issues in application environments. Vulnerabilities found by the scanner are quickly and automatically turned into security rules by FortiWeb to protect the application until developers can address them in the application code.

 Solving the Challenge of False Threat Detections

 False positive threat detections can be very disruptive and force many administrators to loosen security rules on their web application firewalls to the point where many often become a monitoring tool rather than a trusted threat avoidance platform. The installation of a WAF may take only minutes, however fine-tuning can take days, or even weeks. Even after setup, a WAF can require regular checkups and tweaks as applications and the environment change.

 FortiWeb’s AI-based machine learning addresses false positive and negative threat detections without the need to tediously manage whitelists and fine-tune threat detection policies. With near 100% accuracy, the dual layer machine learning engines detect anomalies and then determine if they are threats unlike other methods that block all anomalies regardless of their intent. When combined with other tools, including user tracking, session tracking, and threat weighting, FortiWeb virtually eliminates all false detection scenarios.

 Advanced Graphical Analysis and Reporting

 FortiWeb includes a suite of graphical analysis tools called FortiView. Similar to other Fortinet products such as FortiGate, FortiWeb gives administrators the ability to visualize and drill-down into key elements of FortiWeb such as server/IP configurations, attack and traffic logs, attack maps, OWASP Top 10 attack categorization, and user activity. FortiView for FortiWeb lets administrators quickly identify suspicious activity in real time and address critical use cases such as origin of threats, common violations, and client/device risks.

Secured by FortiGuard

Fortinet’s Award-winning FortiGuard Labs is the backbone for many of FortiWeb’s layers in its approach to application security. Offered as five separate options, you can choose the FortiGuard services you need to protect your web applications. FortiWeb IP address reputation service protects you from known attack sources like botnets, spammers, anonymous proxies, and sources known to be infected with malicious software.

FortiWeb Security Service is designed just for FortiWeb including items such as application layer signatures, machine learning threat models, malicious robots, suspicious URL patterns, and web vulnerability scanner updates. Credential Stuffing Defense checks login attempts against FortiGuard’s list of compromised credentials and can take actions ranging from alerts to blocking logins from suspected stolen user ids and passwords. The FortiWeb Cloud Sandbox subscription enables FortiWeb to integrate with Fortinet’s cloud-sandbox service. Finally, FortiWeb offers FortiGuard’s top-rated antivirus engine that scans all file uploads for threats that can infect your servers or other network elements.

VM and Public Cloud Options

 FortiWeb provides maximum flexibility in supporting your virtual and hybrid environments. The virtual versions of FortiWeb support all the same features as our hardware-based devices and can be deployed in VMware, Microsoft Hyper-V, Citrix XenServer, Open Source Xen, VirtualBox, KVM, and Docker platforms. FortiWeb is also available for AWS, Azure, Google Cloud, and Oracle Cloud as a VM, and as WAF as a Service. For more information, see Fortiweb-Cloud.com.