Jarvis AI

Automated system for auditing cyber security according to OWASP and NIST methodology using machine learning.

Automated retrieval of information about attack targets, including linked domains, used segments of IP addresses and DNS records, and including historically used ones.

Automatic detection of known vulnerabilities and their use for intrusion.

Automated acquisition of information about the software used, its author and application operator.

Source code indexing.

Prediction of errors in the source code of specific software authors based on the indexed source code of older versions of applications.

Features for automated exploitation and intrusion attempts on the application, internal infrastructure, and workstation levels.

Functions for complete infrastructure mapping, including related infrastructure.

Monitoring of errors and security problems at the level of internal infrastructure.

Periodic repetition of the audit.

Audit of passwords with automatic comparison of their similarity or agreement from known and public intersections.

Automatically find new goals and track changes.

Features for honeypot.

Support for generating security rules in YAML formats.

Extraction and machine analysis of data for the purpose of subsequent report and penetration within the assigned audit.

Generating a report in a structured format.

Own operation in the form of an independent appliance.

Report processing to various data views and subsequent export to HTML, PDF, XLSX and XML.

Automatic updates with new security flaws and algorithms.