Overview:
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.
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.
Key Benefits:
- 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
Highlights:
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 codeinto production faster, eliminating the need for time-consuming manual WAF rules tuning and troubleshooting the false
positives that plague less advanced WAFs.
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.
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.
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 singlevector 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 hardwarebased 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.