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Guardtime

Guardtime Keyless Signature Infrastructure (KSI) for Hadoop Big Data Lakes

Blockchain Security and Assurance for Big Data

Website

Main categories

Data Security

Sub categories

Big Data Security

Data Governance and Classification

Data protection in transit

Data protection in storage / at rest

Blockchain Technology

Data Loss Prevention - DLP

Data Leakage Prevention -DLP

GDPR Compliance Tooling

Data Discovery

Hadoop Data Security & Privacy

Data Privacy

Data Compliance in the Cloud

eDiscovery

Deployment modus

On-premise

Cloud

Value Proposition

Problem

With the myriad of data sources, including structured, semi-structured and unstructured, and with rapidly evolving ETL pipelines, it's now critical that organizations understand where data is originating, how it's moving through their systems, who has access, and how it's being modified. For distributed organizations data is often moving between on-premise solutions and hosted cloud infrastructure, usually with complicated steps to strip out confidential or sensitive information such as PII (Personally Identifiable Information). Given the lack of veracity and provenance in Big Data, the vulnerabilities that have been proven to exist in large scale networks including cloud, being able to prove the critical aspects of your most important data in a defensible way has become paramount. Raw data is being used to meet Regulatory Compliance guidelines, and distilled insights are being used to make critical business decisions, yet most Big Data platforms are in their early maturity and offer inadequate security measures for the data they operate on. Countless laws, regulations, policies, technology failures, threats and vulnerabilities impact the information security strategy for Big Data environments, and the lack of a Defensible Data capability means that organizations have limited ability to trust that the right data is going in and the right insights are coming out

Solution

While organizations cannot afford to ignore Big Data capabilities there must be appropriate security measures put in place. Thus, as part of an overarching Information Security program, Industrial-scale Blockchain plays a significant part in providing assurance of integrity and authenticity of data, while guaranteeing non-repudiation. Blockchain technology can dramatically improve Big Data security. Never before has there been an immutable ledger than can provide 100% accountability for digital assets, proving critical aspects such as time, integrity, creation entity, and even location in a widely witnessed and confidential manor. By leveraging Blockchain technology, a new era of data provenance and veracity can be introduced, helping to fulfill critical aspects of an information security strategy including integrity of data, authenticity of data, and non-repudiation of data, in a lightweight and scalable fashion that can be integrated in nearly any Big Data solution or customized workflow

Features

Provides transparency & visibility in complex environments, as no one should be able to cover their tracks
Ensures privacy - Security should be afforded without giving up confidential information
Ensures regulatory compliance can be met in Big Data environments, and that data is universally governable
Ensures the relationship between data and proofs are traceable, meets regulations, and are tamper free
Creates a defensible Chain-of-Custody

Supports compliance with SOX, HIPAA, FISMA, NERC, and others
Provides cryptographic data fingerprints and can be assembled for forensic purposes (eDiscovery) with ease
Unlike traditional blockchain approaches the KSI blockchain grows linearly with time and independently from the number of transactions. KSI can sustain billions of asset registration events every second without growing out of control