9 WAYS COMPANIES STILL AREN'T PREPARED TO SECURE BIG DATA

There's no better way to keep your pulse on what's going on in the cybersecurity community than getting out to events and talking to real customers with real problems. We’re proud to sponsor many cybersecurity events throughout the country – I encourage you to visit our website to find out where we will be next.   

There’s no shortage of news stories about the cyberthreats that continue to plague our country and victimize millions. These cybersecurity events are a great experience for those looking to gain best practices and perspective into how they can start fortifying their defenses to keep cybercriminals out of their company's sensitive customer data and intellectual property.  

I had the pleasure of joining a panel of renowned cybersecurity experts during the recent New York Cybersecurity Summit that looked at the juxtaposition of big data and cloud computing as it pertains to data security. The panel, The Growing Cyber Threats to Big Data Analytics and Cloud Securityshared effective security measures you can take to proactively safeguard your company from hackers.  

A common misperception of cybersecurity is that it locks out innovation. "Security leads with no," is something I've heard all too often. The reality is that we must take advantage of anything that helps us win in our respective businesses. Big data analytics and cloud computing hold that promise, increasing enterprise productivity by allowing for more informed plans and decisions; newly discovered opportunities for optimization; and the delivery of breakthrough innovations.  

The benefits have applications in virtually every industry vertical, which means big data and cloud are in rapid adoption phase. Seemingly every bit and byte – from personal data and payment information to intellectual property and health records – is collected, shared, and analyzed like never before.  

However, security and privacy issues are magnified by the three V’s of big data: velocity, volume, and variety. These factors include variables such as large-scale cloud infrastructures, diversity of data sources and formats, streaming nature of data acquisition, and the increasingly high volume of inter-cloud migrations. 

New technology requires a new approach to cybersecurity. Unfortunately, traditional security safety nets successful in protecting data at rest fall short. Big data challenges your security planning in nine ways: 

  1. Secure computations in distributed programming frameworks 
  2. Security best practices for non-relational data stores 
  3. Secure data storage and transactions logs 
  4. End-point input validation/filtering 
  5. Real-time security monitoring 
  6. Scalable and composable privacy-preserving data mining and analytics 
  7. Cryptographically enforced data centric security 
  8. Granular access control 
  9. Granular audits 

As with any major business decision, we must take a measured approach to adoption. We can't just reject using big data analytics out of hand, but we can't just throw all of our data into the ether without thinking about its safety, either.  

US Cyber Vault can help: Visit our website to learn how we work with companies across all industry verticals to securely operate petabytes of big data workloads with light-speed velocity, real-time security monitoring, and military-grade encryption.