Cybersecurity has long been a battleground between attackers and defenders, with both sides locked in a spiral of increasing complexity; as quickly as enterprise IT departments are able to develop systems, procedures, and patches to combat the latest malware, the threat also grows accordingly, mutating into something new to prompt further responses and counter-responses as each side attempts to regain the upper hand.
However, at a time when businesses are increasingly prioritizing their own digital transformation activities, this battleground is taking on added significance as the increasing technical complexity of companies provide both an opportunity for hackers and an evolving threat for their CISO counterparts.
As a result, both sides are looking for areas that give them an edge with technologies such as machine learning, automation, and artificial intelligence being used to both bolster defenses and upgrade offensive capabilities.
Cyber-attacks in the UK increased by 140 percent in 2018. Against this backdrop of an increasing cyber threat level, it is unsurprising to note that in a recent survey, 56 percent of cyber security analysts said they were “overwhelmed” by the cyber threats while almost a quarter said they are not able to successfully investigate all identified cyber incidents.
For those tasked with defending a company’s networks and systems, speed kills—the longer it takes them to identify and respond to an attack, the higher any damage they incur is likely to happen. In the cyber security AI arms race, companies that do not embrace automation and orchestration will find that their goal of defending IT infrastructures becomes even more insurmountable.