Our app secs include threat modeling, static and dynamic testing, code review, and remediation guidance across web, mobile, cloud, and legacy apps.

We perform network, web app, cloud, and internal pen tests to mimic real attacks and quantify vulnerability risks. Tests are customized to client environments.

We emulate tactics of real-world threats to improve detection and response. This includes custom attack modeling, hands-on pen testing, and scenarios tailored to your environment.

Vuln assessments focus on discovering vulnerabilities through scanning whereas pen tests actively exploit flaws to demonstrate real risk. We recommend both.

Our SOC delivers 24/7 threat monitoring, detection, and response via log analysis, alerts, customized threat hunting, and incident handling playbooks.

Services include cloud pen testing, configuration reviews, workload protection, compliance audits, and ensuring adherence to cloud security best practices.

We conduct static/dynamic analysis, review code logic flows, identify vulnerabilities, ensure conformance to secure coding standards, and provide developer training.

We assess consensus algorithms, smart contract logic, off-chain integrations, keys and wallet security, and work with clients to remediate issues.

We have extensive experience building web apps using React, Angular, Vue, Node.js, ASP.NET, Django, and Ruby on Rails according to the scope of the project. We implement responsive design principles and follow web development best practices.

We build high quality native iOS and Android apps using Swift, Kotlin as well as cross-platform mobile apps using React Native, Flutter, and Xamarin.

We follow proven software development lifecycles including design, iterative agile development, continuous testing and integration, documentation, release, and maintenance.

We provide advanced data analytics, predictive modeling, machine learning, deep learning, computer vision, and NLP solutions to derive actionable insights from data.

We leverage CI/CD pipelines, automated testing, and leading DevOps tools for efficient software delivery and deployment.

We critically evaluate our models for accuracy, fairness, and transparency through extensive validation, testing, and responsible AI best practices.