Enterprise organizations should look to big data analytics and other options to battle increasing security threats in 2014, according to technology analyst firm Ovum.
The best protected government and military and enterprise systems were breached this year and in 2014 these organization will face even greater according to the company’s Security 2014 Trends Watch report.
“Ovum recommends that organizations look to gain positive advantages from big data, security intelligence and analytics-based approaches to security management, ”said Andrew Kellet, principal analyst for software, IT solutions at Ovum. “Meanwhile mainstream security vendors need to provide a range of products and services that genuinely meet the protection needs of both SMEs and large enterprise clients.”
According to Ovum’s Security 2014 Trends to Watch report:
More proactive protection is needed to address what it calls the “cyber security time bomb”
Security-as-a-service will be increasingly used by more organizations
Cloud and mobility change IT approach technology
Big data analytics, and the ability to understand threat priorities and the actions needed to sustain the well-being of the organization and its users are critical according to the report.
“Not every organization has the budget or security resources to meet its current protection requirements, let alone the extended use of cloud-based services and the BYOD-driven use of smartphones and tablets by employees,” Kellet said. “Therefore, organizations will be forced to consider the practicalities of managed, security-as-a-service options.”
Ovum believes the need for better security will be driven by operational demands, including the use of technology that makes business information more readily available and consequently more vulnerable to cyber-attacks.
Big Data Opens the Door for Prescriptive Analytics
Making customer-level decisions that balance risk and profit just keeps getting harder. And when you think you have it right, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them. No doubt some of these challenges sound familiar. And this is where prescriptive analytics represents the next step in the analytic journey.