Self-replicating management services for distributed computing architectures are provided herein. An example method includes providing one or more nodes providing services; and maintaining a quorum of a plurality of management servers by: providing a distributed coordination service for the one or more nodes on each of the plurality of management servers; managing, via a director, requests for data on the distributed coordination service from the one or more nodes; promoting at least one of the one or more nodes to being one of the plurality of management servers; and maintaining secure tunnels between the plurality of management servers and the one or more nodes.

An engine architecture for processing finite automata includes a hyper non-deterministic automata (HNA) processor specialized for non-deterministic finite automata (NFA) processing. The HNA processor includes a plurality of super-clusters and an HNA scheduler. Each super-cluster includes a plurality of clusters. Each cluster of the plurality of clusters includes a plurality of HNA processing units (HPUs). A corresponding plurality of HPUs of a corresponding plurality of clusters of at least one selected super-cluster is available as a resource pool of HPUs to the HNA scheduler for assignment of at least one HNA instruction to enable acceleration of a match of at least one regular expression pattern in an input stream received from a network.

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

A system that converts standardized lightweight database access protocol (LDAP) requests into a series of domain name system (DNS) requests to look up requested information. DNS responses are validated using DNS security extensions (DNSSEC) to ensure their validity, then converted into standardized LDAP responses. The system is either operated as a service for public use on the Internet or private use in an enterprise; or as an application running on end user machines, e.g., laptops, mobile phones, to guarantee end-to-end security by validating responses on the end user machine. The standardized, widespread nature of the LDAP allows existing applications to immediately reap the benefits of global, ubiquitous, cross-organizational, trans-national data distribution via DNS secured by DNSSEC.

Methods, systems, and devices are described for orchestrating server management in a modern IT network. The described techniques may be implemented to manage any number of networked severs, whether local, remote, or both. Server orchestration may leverage a central, cloud-based management system and/or one or more autonomous agents installed on servers with the network. The autonomous agents may each be registered with the supervisory server and may have awareness of one another.

Methods, systems, and devices are described for orchestrating server management in a modern IT network. The described techniques may be implemented to manage any number of networked severs, whether local, remote, or both. Server orchestration may leverage a central, cloud-based management system and/or one or more autonomous agents installed on servers with the network. The autonomous agents may each be registered with the supervisory server and may have awareness of one another.

A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

A node in a blockchain network may agree, on an authority accept a compliance module from the authority, accept the compliance module. The node may also receive an operation, verify a compliance of the operation based on the compliance module, add the verified operation to a ledger on the blockchain network.

A method, system and apparatus are disclosed. According to one or more embodiments, a detection node in communication with a network function virtualization, NFV, system operating a NFV stack that is logically separable into a plurality of levels including a first level and a second level is provided. The detection node includes processing circuitry configured to: translate an executed first level event sequence to at least one translated second level event sequence, and compare the at least one translated second level event sequence to an executed second level event sequence to at least in part detect inconsistencies between the at least one translated second level event sequence and the executed second level event sequence where the executed second level event sequence and the executed first level event sequence being part of a multi-level sequence flow.