Company IT and security teams are facing cybersecurity challenges that increasingly test their defensive capabilities. Organizations have to protect themselves from a growing number of incidents (one attack every 39 seconds, according to the University of Maryland) and sophisticated threats, many of which have serious consequences.
Fueled by the need to detect new, emerging threats while supplying meaningful feedback upstream to anticipate and prevent future ones, the modern SOC is the engine that protects organizations worldwide. The heart of that engine is common to all SOCs since they debuted more than a decade ago: people.
Today’s developers move at increasingly rapid speed – making it more critical than ever to identify and resolve code vulnerabilities early in the software development lifecycle. By tackling security early – instead of waiting until testing and deployment – engineering teams can reduce unnecessary patching and maintenance cycles, reduce risks, and ensure timely delivery of new features.
AT&T Alien Labs does a tremendous job of developing and maintaining a database of observed Indicators of Compromise (IOC) that have been involved with at least one customer through the Open Threat Exchange (OTX).
Whether for managing remote teams, supporting ‘bring your own device’ (BYOD) policies, or simply another layer in a data protection strategy, services like Microsoft Intune offer greater control over the devices on your network. But using the data from these services often requires tedious prep work, and this process is likely repeated multiple times a week, if not daily. Tedious, repetitive, structured: these are all signs that a process can and should be automated.