"81% of web-based applications are compromised as a result of stolen credentials or rogue users" (Source: 2017 Verizon DBIR)
The Yaxa solution
Natively monitor live user activity including file-access and download information to understand user behavior
Look for anomalies between user’s historical behavior and current behavior
Mitigate risk in real-time by defining user and application-specific controls and not wait for logs
Solution
The Yaxa Analysis Engine utilizes unique reinforced ML to monitor user traffic accessing critical web applications building a unique profile for each user’s behavior. It extracts, analyzes, and builds behavioral profiles from live data packets and captures identity information from existing IAM servers. We prevent loss of valuable data by following a “trust but verify approach,” with minimal IT intervention. This is done via a robust four-step process:
1. Behavioral Fingerprinting
YAXA enables user and application specific access controls. User behavioral traits such as; time and duration of access, speed, geolocation, user agent, client device, response types, application zones accessed, sequence of operations, upload and download behavior to build a deep behavioral model of all users accessing your web-based applications. Yaxa’s behavioral fingerprinting is the first process in protecting your valuable assets. No more fine tuning of static rules.
2. Anomaly Detection
Our dynamic behavioral fingerprinting process automatically establishes user baseline from which YAXA detect real-time anomalies as the users or devices access the assets under protection. Yaxa employs an ensemble of advanced machine learning algorithms developed in collaboration with a top technology university. The ensemble method boosts accuracy of anomaly detection maximizing coverage of user or devices behavior and minimizing false alerts.
3. Blocking Attacks
Upon detecting an anomalous session, Yaxa’s automated Incident response mechanism triggers an authentication request to vet the user in real-time. Flexible policy allows administrators to customize profiles based on perceived threat, risk sensitivity, and user privileges. YAXA can distribute an authentication request to an individual user, manager or multiple persons based on company policy.
4. Adaptive Learning
Yaxa constantly incorporates user feedback into behavioral models in order to adapt to changing user behavior and risk patterns. With such unsupervised and adaptive learning, Yaxa is able to reduce future alerts while responding to ever changing threat landscape.
Product features
Real time
Rather than rely on forensics and retrospective analysis, Yaxa provides automated incident response to thwart an insider attack once detected.
Beyond perimeter defenses
Firewall /IPS/ IDS, being signature-based solutions designed to keep attackers out of the network, cannot deal with Insider threats which only Yaxa can combat successfully.
Effective against Zero-Day Vulnerabilities
Yaxa solution is identity aware and uses advanced Machine Learning algorithms to detect hitherto unknown vulnerabilities.
Flexible deployment
The Yaxa appliance can be deployed either in Data-Centre or in the Cloud.
Monitors the network traffic and leverages Big Data
Yaxa collects and analyses packet headers/meta data as it monitors HTTP/HTTPS traffic and indexes the data to make it more easily and efficiently searchable for various decisions.
Eliminate false alarm
Yaxa reduces the need for IT intervention manually by taking corrective action automatically upon anomaly detection and policy violation.
Our Team
Kalpesh Sheth
Co-founder and CEO
Ramesh Gupta
Co-founder and CTO
Advisors
Bill Seifert
Chris Klaus
Gunter Ollmann
Human attack surface by 2021
Average security alerts per day
Percent of network traffic is encrypted
Contact Us
Yaxa can provide a demo for your custom/internal application or SaaS applications like SalesForce, Office365, DropBox, Gmail, Box and other web based applications.