• WHY @RISK
    • We believe privacy is an inalienable right; we also believe that not enough is being done to protect MainStreet USA at a level we believe it deserves.

  • Network Consensus
    • @RISK is a Network Consensus company that provides global organizations with “Left of Bang” Cyber Situational Awareness measured through a Balanced ScoreCard. Risk, exposure and probability of Cyber-attacks are calculated using Big Data Machine Learning built on an IBM Cognitive computing platform. @RISK is an assembly of world class professionals who quietly do what seems to be the impossible daily. Each one of them is contributing to a new field called cognitive computing, fusing the art of their experience with technology, to mimic the way a computer hacker thinks and defend your Privacy.

@RISK Technologies, Inc.
16400 N Dallas Parkway, Suite 100
Dallas, TX 75248
E-mail: info@atrisktech.com

FOR IMMEDIATE RELEASE

@RISK Technologies Focusing on 3 Pilot Customers in Banking

3 Main concepts you should take away from this release:

Customer Focus
@RISK Leadership remains focused on a single vertical to prove its product

Customer Dialogue
@RISK Leadership is partnering with its customers to ensure their product meets an unmet need in the market

Capability Confusion
@RISK is learning despite all the hype around Machine Learning for A.I. The market is still in formulation with an abundance of customer confusion

DALLAS, TX - 9 March 2017 - 

@RISK Technologies, Inc., a Cyber Network Consensus SaaS company, today announced it will begin focusing on 3 Pilot Customers in Banking. The effort is to validate integration with IBM Technology, BlueMix and IBM Watson application program interfaces (APIs).
 
“This is how we validate our pre-organization development efforts with the market," said Darren Morris, co-founder and COO of @RISK Technologies. “These Proof-Of-Concepts (POC) allow us to test our real time Spark/Hadoop Integration built by @RISK behind an Organizational firewall, while ensuring airgapped and SOC 2 compliant data stores are kept secure using a Hybrid Cloud delivery model, the Board of Directors came together to establish a solid milestong towards achieving growing @RISK Technologies.”


Spark Hadoop Cyber Real Time Monitoring POC Spark Hadoop Cyber Real Time Monitoring POC

As Cyber Customer Loyalty is decreasing in the market, @RISK focused on a different strategy - Validating its product through partner customers. In its pre organization development, 19 developers worked for no salary while the founders traveled the country and globe to hear from Information Security Customers. Here's their discovery: More choice, more confusion. Emerging products and increased competition across market have given potential customer the flexibility to try many different products and services. 

Proliferation of choice, price promotion, and the entrance of niche disruptor brands are among the reasons that loyalty is difficult to cultivate. In addition, loyalty was not always fashionable. For self-expression and risk reduction, customers preferred to mix and match best-in- class, curating an affiliation with Gartner rather than uniformity in their network. Similarly, many CISOs recognize that they can't "tool their way out of the problem", so interest in newest products using Machine Learning is hot. Responding to this purchasing variability, @RISK is focusing on consumers at the exact right value that is emerging which, for banking, is better fusion between compliance, risk management and automation.

This POC focuses on the ability to automate those fusion points using a cognitive assembly of Machine Learning into a specific A.I. function.

 

 

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What is A.I. for Cyber?

Research from Narrative Science claims confusion over the definition of artificial intelligence is holding it back, although 62% of enterprise respondents believe it will be place by 2018, reports Telecoms.com.
 
Although this is an encouraging statistic, the report also highlights there is confusion over the definition of the technology itself. 62% of those who contributed to the survey said they were not using AI currently, however later in the survey 88% of the same people were then found to be products or solutions which are under pinned by AI technology. 

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