AI to Fight Hackers: AI The Future of Hacking

Another feature of artificial intelligence is its collective intelligence. A computer system is consisting of various software components, each with its own security procedures and log files. A human operator would have to monitor and study each one individually, but an AI system can detect trends across all systems. The AI can match timestamps and users in log files to generate a detailed picture of what actions each user is performing, making it better at detecting malicious behaviour – and dismissing false alarms.

"SecOps teams are being challenged with too many alerts and not enough analyst manpower to address them. Through AI/machine learning, the signal-to-noise ratio is improved and, with it, so is the mean time to detection and mean time to response," said Chas Clawson, cybersecurity evangelist at consultancy and software firm Micro Focus.

The end goal, he added, is a semiautonomous security operations center where analysts only deal with the most complex or most critical events, while the rest is handled by automating the repetitive responses that machines can learn to handle.

AI cybersecurity systems provide a completely new challenge for hackers: they must not only infiltrate business systems, but they must also break them intelligently. According to AI cybersecurity advocates like Clawson and Shepherd, brute-force and bot assaults will be obsolete. Instead, hackers will be forced to.
AI is susceptible to data poisoning attacks.
AI raises the bar for security, but CIOs must recognise its limitations and shortcomings as well. "Unfortunately, once an AI-based cybersecurity solution is established, [IT and business] workers grow comfortable," said Peter Purcell, co-founder of EVAN, an IT professional network.

"They believe the AI-powered cybersecurity system will learn quickly enough to guard against all assaults. This is simply not true "He continued.