Vectra Ai, Inc.

Vectra Networks, Inc.

Karl Matthew Lynn

Nicolas Beauchesne

William Stow Finlayson, Iv

Sohrob Kazerounian

Ryan Prenger

Oliver Kourosh Tavakoli

Oskar Ibatullin

David Lopes Pegna

William Stow Finlayson Iv

Ryan James Prenger

Disclosed is an approach for analyzing attack paths in computer network generated using a software representation that embodies network configuration and policy data for security management. In some embodiments, the approach includes a process to analyze attack paths in a computer network to determine which attack paths might be most productively covered using a corresponding detection signature. In some embodiments, the attack paths are identified using a software representation that embodies network configuration and policy data. The software representation comprises a state machine where different states can be reached using respective transitions or properties. The states correspond to respective entities on the network which may comprise resources that are identifiable for protection in the software representation using crash statements. The software representation can then be stimulated using software analysis tools such to identify sequences of state-to-state transitions that could be used to compromise a protected resource on the computer network.

Method, product, and system for analyzing attack paths in computer network generated using a software representation that embodies network configuration and policy data for security management

Disclosed is an approach for network security management using software representation that embodies network configuration and policy data. In some embodiments, the approach includes a process to generate a software representation of what is possible based on a network configuration and policy data. The software representation comprises a state machine where different states can be reached using respective transitions or properties why are possible as determined based on the network configuration and policy data. The states correspond to respective entities on the network which may comprise resources that are identifiable for protection. The software representation can then be stimulated to identify sequences of state-to-state transitions which may in turn be processed to generate corresponding detection signatures for use in monitoring the network.

Method, product, and system for network security management using software representation that embodies network configuration and policy data

Disclosed is an approach for generating detection signatures based on analysis of a software representation of what is possible in a computer network based on network configuration data and network policy data. In some embodiments, the process includes maintaining a plurality of detection signature templates, generation of detection signatures (detection signature instances) using respective detection signature templates that are selected based on the analysis of the software representation. In some embodiments, detection signatures templates are of different type and may be deployed at different locations based on their respective type(s), such as at source, destination.

Method, product, and system for generating detection signatures based on attack paths in a computer network identified using a software representation that embodies network configuration and policy data for security management using detection signature templates

Disclosed is an approach for analyzing a computer network to identify attack paths using a software representation that embodies network configuration and policy data for security management. The software representation comprises a state machine where different states can be reached using respective transitions or properties which are possible as determined based on the network configuration and network policy data. The states correspond to respective entities on the network which may comprise resources that are identifiable for protection in the software representation using crash statements. The software representation can then be stimulated using software analysis tools such as fuzzers to identify sequences of state-to-state transitions that could be used to compromise a protected resource on the computer network.

Method, product, and system for analyzing a computer network to identify attack paths using a software representation that embodies network configuration and policy data for security management

An approach for detecting network attacks using metadata vectors may initially involve receiving network communications or packets, extracting metadata items from the packets. The metadata items describe the communications without requiring deep content inspection of the data payload or contents. The communications may be clustered into groups using the metadata items. If a cluster exceeds a threshold, an alarm may be generated.

Method and system for detecting threats using metadata vectors

A system and method for detecting malicious relay communications is disclosed. Network communications can be received and analyzed using such network components as a network switch. The received traffic can be parsed into sessions. Relay metadata can be extracted from the sessions and further be used to categorize the sessions into one or more types of relay metadata behaviors. Once a significant amount of sessions are detected an alarm may be triggered and/or alarm data may be generated for analysis by network security administrators.

Malicious relay detection on networks

Approaches for detecting network intrusions, such as malware infection, Trojans, worms, or bot net mining activities includes: identifying one or more threat detections in session datasets, the session datasets corresponding to network traffic from a plurality of hosts; determining a layered detection score, the layered detection score corresponding to a certainty score and threat score; determining a layered host score, the layered host score corresponding to a certainty score and threat score; and generating alarm data comprising the layered detection score and the layered host score. In some embodiments, the network traffic may be received passively through a network switch; for example, by 'tapping' the switch. Other additional objects, features, and advantages of the invention are described in the detailed description, figures and claims.

Growing community of inventors

San Jose, CA, United States of America

Karl Matthew Lynn