Welcome!

Cloud Security Authors: Zakia Bouachraoui, Pat Romanski, Elizabeth White, Yeshim Deniz, Liz McMillan

Related Topics: @DXWorldExpo, Cloud Security, SDN Journal

@DXWorldExpo: Article

The Role of Big Data in Threat Detection

The promise of Big Data lies in the ability to derive insight, reduce risk, and improve future security performance

Arriving at Actionable Insight: The Role of Big Data in Threat Detection

According to Gartner, Big Data refers to "high volume, high velocity, and/or high variety information assets" - and, this is the key - "that require new forms of processing to enable enhanced decision making, insight discovery and process optimization." While Big Data may seem like an invaluable tool that all security teams should try to leverage, it is not practical for everyone to attempt to harness it on their own. Finding insight from data is rarely as simple as it seems. We are still in the early stages of the Big Data revolution, with people only now beginning to understand what is possible, and what it takes to get there. Simply investing in tools and development is not enough. The fact is security teams are still struggling to identify and respond to incidents in an effective way. The Verizon Data Breach Investigations Report of 2013 noted that outside parties, whether it be a telecom provider, credit card issuer, third-party vendor or the FBI, were responsible for 70% of data breach notification, demonstrating that security teams are still missing the signs of detrimental threats that face organizations each and every day.

There is clearly promise in Big Data, but how do organizations get there? First, there is a need for human talent and expertise, as tools alone are not enough. Beyond creating a security operations center (SOC) to coordinate a cyber security strategy, it is critical for organizations to employ a data scientist or someone who is capable of consuming and analyzing the information to create effective models for identifying threats. Unfortunately, there is a vast talent gap in the field of data science, particularly at the intersection of data and security. There are also technical hurdles preventing development. Integrating high volumes and varieties of data sources and formats, both internal and external, into a security framework requires both technical expertise and resources. In many ways, these programs are for select organizations. Enterprises must facilitate financial resources, technical know-how, and data science expertise to execute a holistic and effective Big Data program.

The promise of Big Data lies not in the collection of millions of records, but in the ability to derive insight, reduce risk, and improve future security performance. So, if the barriers to an internal Big Data program are high, but the potential benefits are great, how do we arrive at the insight needed to reduce risk and improve future security performance? Fortunately, there are options available for organizations to gain these advantages without having to make the commitment to a full-scale Big Data program.

One emerging option is the possibility of Big Data as a Service (BDaaS). Through the perimeterless nature of the Internet, vendors can access, analyze, and provide actionable insight into potential - or even future - threats. For example, card issuers often turn to outside vendors for Common Point of Purchase (CPP) analysis to detect potential fraud associated with theft or breach. By outsourcing the collection and analysis, businesses can streamline their path to insight.

Organizations of all sizes face challenges of data collection and analysis on a daily basis. In order to gain insight from data, companies must invest in the tools, strategies, and staff needed to make sense of accessible information. Once the appropriate protocol is in place, insight from Big Data may function as a way of reducing risk, protecting enterprises from our hostile threat landscape.

More Stories By Stephen Boyer

Stephen Boyer cofounded BitSight in 2011 and serves as Chief Technology Officer. Prior to founding BitSight, he was President and Cofounder of Saperix, a company spun out of the MIT Lincoln Laboratory focused on vulnerability and network topology risk analysis. Saperix was acquired by FireMon in 2011.

While at the MIT Lincoln Laboratory, Stephen was a member of the Cyber Systems and Technology Group where he led R&D programs solving large-scale national cybersecurity problems. His work at the MIT Lincoln Laboratory included research, development, and evaluation of next generation intrusion detection correlation architectures, attack graph vulnerability analysis, large-scale cyber situational awareness, security risk measurement, and cyber simulation and testing.

Prior to joining the MIT Lincoln Laboratory, Stephen designed, developed, and tested products at one of the earliest Linux startup companies, Caldera Systems.

Stephen holds a Bachelors degree in Computer Science from Brigham Young University and Master of Science in Engineering and Management from the Massachusetts Institute of Technology.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...