The collective approach to Big Data Security Analytics

Jon Oltsik of ESG lists down key focus areas to drive Big Data security analytics among the enterprise organizations. He mentions that solutions must respond with: 
- Canned algorithms: to detect infected hosts, network reconnaissance, credentials harvesting, and Command & Control (C&C) communications
- Deep intelligence: by correlating situational awareness (i.e. what’s going on in internal/external networks) and continuous monitoring (i.e. network assets, configurations, and vulnerabilities) 
- Automation: since there are simply too many threats, vulnerabilities, events, and network packets for humans to keep up  
- User groups: to promote collective collaboration will be essential for inexperienced users looking to benefit from big data security analytics