Cyber threat is soaring on the list of the gravest challenges plaguing organizations today. This is partly an outcome of developers including security in their development process as an afterthought. Although enterprises quickly realize the cyber threat risks to their businesses and reputation, they seem to be in a state of indecision.
Our latest industry research – ‘The 2022 State of IT Security Automation Adoption’ – which we have undertaken for the second year running and expanded into other regions including the UK, USA and Australia, shows strong signs that cybersecurity automation adoption is advancing, but 97% of respondents say they have experienced problems during implementation.
Threat intelligence has become a significant input to the overall ecosystem that organizations leverage in their security footprint. Managing that data and the contextualization required to develop useful information can be daunting for fledgling and established organizations. I will discuss ways to automate some of the repetitive tasks and fuel other areas of the security organization to help them better achieve their mission sets.
At ThreatQuotient, we write a lot about security automation. Most recently, we’ve discussed how our data-driven approach to automation helps enable extended detection and response (XDR) in all phases of security operations including detection, investigation and response.
