In a world of ever-shifting security needs, it is not enough to stop an attack that is ongoing. The future of security requires detecting, isolating, and analyzing attacks. In that way, one can learn how to prevent the next attack. Cloudwick’s security solutions leverage innovation and open source to create such a product.
Called the Cyber Data Lake, Cloudwick’s solution detects and isolates security threats and provides the transparency needed to analyze threat data and create new solutions.
Most security solutions use a set of rules to detect and stop ongoing threats. Cloudwick’s solutions go beyond rules. Machine learning helps sort legitimate traffic from security risks. This limits the possibility of false positives due to poorly-written or conflicting rules. At the same time, machine learning allows the system to detect and adjust to emerging patterns. This makes the next threat easier to detect.
Not only does Cloudwick use machine learning to adjust to developing security needs, but it democratizes security analytics. Siloed security renders data and makes it available in a Salesforce-style model. Many vendors can access the same depository of data using the same platform. This transparency of security analytics means information can be shared quickly and efficiently. New solutions can be crafted without a delay in the transfer or location of necessary data.
Cloudwick developed the Cyber Data Lake – or “CDL” – through both open source technologies and partnership with other companies including Solarflare, Bricata, and Corelight. The result is a product that redefines security for a changing world. The goal is to prevent security attacks in the first place, not merely to respond to them as they arise. This requires a seismic shift in traditional security thinking. Instead of focusing on security in the moment, one must prepare for the future. The CDL provides the flexibility needed to meet today’s needs while keeping ahead of the market’s demands.