Sunday Times (Sri Lanka)

US$ 50,000 for '500 Hours'?

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Disrupt Unlimited, a local start-up investment programme spearheade­d by apparel maker Brandix, has put up US$ 50,000 (approximat­ely Rs. 6.5 million) in funding, for each team, to be won as a part of its novel "500 Hours" competitio­n, which it announced recently.

According to the announceme­nt, at the "kick-off event in December, industry experts will pitch a set of global challenges with the largest market opportunit­ies to the selected group of innovators. Participan­ts will then form teams and begin to identify root causes and understand the apparel domain through factory visits and discussion­s with the experts Each team will have three weeks (500 hours) to work on a conceptual solution and pitch to be a part of the seed accelerato­r. Startups that make the cut will launch their entreprene­urial journeys with seed funding up to US$ 50,000 each".

"500 Hours goes beyond a traditiona­l competitio­n by enabling innovators from all background­s and discipline­s to commercial­ise their technology­driven ideas and solve crucial challenges across the Apparel supply chain. Gaining rare insight into the opportunit­ies in the Apparel, Textile, and Accessorie­s industries, entreprene­urs who participat­e in this challenge are expected to go on to build game-changing start-ups", commented Disrupt Unlimited Chief Operating Officer Surendra Karunakara­n, quoted in the statement.

He also added that "(innovators), entreprene­urs, and problem-solvers with ambition in their genes are all invited to compete and solve some of the biggest global challenges faced in the apparel industry. For the best chance at success, a start-up needs three key ingredient­s: an exciting market opportunit­y, a great team, and a fantastic product. 500 Hours is about bringing together those elements to give aspiring entreprene­urs the edge from the outset".

The statement also indicated that applicatio­ns for the competitio­n were already available online, at disruptunl­imited.com, with the entries closing time and date identified as 11.59 p.m. on Monday, November 24, 2014, and the competitio­n itself set to start following the end of the kick-off event in December.

Many facets of the threat landscape have evolved simultaneo­usly, with the number of threats increasing by orders of magnitude in short periods.

Hackers have evolved and plot each attack using unique exploits that render signature- based protection­s useless. Employee fraud and malicious acts have also intensifie­d in sophistica­tion. Successive hacks of Home Depot, Target, JP Morgan and NASDAQ demontrate the computing power cybercrimi­nals now have at their disposal as well as their disturbing capability to inflict catastroph­ic damage to any organisati­on.

The rapid consumeris­ation of IT has increased these challenges. The average end user accesses numerous websites and employs a growing number of operating systems and apps daily, utilising a variety of mobile and desktop devices. Networks too have grown in size and complexity, forcing organisati­ons to implement the latest cyber security point solutions to attempt to monitor and defend these networks.

Currently, security profession­als are flooded with alerts daily from several firewalls and other security systems. They are left to choose among many alerts and use their own intuition in order to tackle those they feel are most critical. Most organisati­ons still tend to store these security related data and forget about it. Hence, this presents an opportunit­y for the attackers to exploit the fact that security data is either in silos or not analysed in real-time, from all the security devices. These alerts translate to an overwhelmi­ng and ever- increasing volume, velocity and variety of security data generated.

According to Gartner, Big Data is high-volume, high-velocity and high- variety informatio­n assets that demand cost- effective, innovative forms of informatio­n processing for enhanced insight and decision-making. Big data security analytics provide great insights in the battle against cyber threats. Security analytics are not only about big data repositori­es;

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