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Do You Know first cyber-attack was hit the headlines in 1988. It was the Morris Worm – a personal malware project of the Harvard graduate Robert Tappan Morris which came to infect an estimated 10% of the 60,000 computers online at the time, prompting a seismic shift in attitudes to computer security.

Almost After 30 Years later, cyber security is one of the greatest challenges of our age. Cyber-crime has rapidly evolved from an academic research project into a global marketplace of professional cyber-crime services, and on the geopolitical stage, governments have turned to hyper-advanced cyber-attack tools that can start in cyber space and lead to physical damage and disruption to their adversaries’ critical IT infrastructure.

Since businesses, schools, hospitals, and every other thread in the fabric of society has embraced the internet, cyber-attacks now stand among natural disasters and climate change in the World Economic Forum’s annual list of global society’s gravest threats.

New detection signatures

As the years have gone by, hackers have consistently reinforced the old adage:, I remembered Old Saying ‘where there’s a will there’s a way’. As defenders have using Machine Learning Algorithm to inputted new rules into their firewalls or developed new detection signatures based on attacks they have seen, hackers have constantly reoriented their attack methodology to evade traditional defenses, leaving organisations playing catch-up and scrambling for a plan B in the face of an attack.

Next evolution In recent years, thousands of organizations have entrusted machine algorithms to react at computer-speed to fast-moving attacks. This active, defensive use of AI has changed the role of security teams fundamentally, freeing up humans to focus on business communication and remediation plans to make the overall environment more resilient in the future.

In what is the attack landscape’s next evolution, hackers are now taking advantage of machine learning themselves to deploy malicious algorithms that can adapt, learn, and continuously improve in order to evade detection, signalling the next paradigm shift in the cyber security landscape: AI-powered attacks. A recent study by Forrester found that 88% of security professionals expect AI-driven attacks will become mainstream in what has already proven to be an era of hyper-change in cyber-attacks – it is only a matter of time.

Offensive AI

‘Offensive AI’ will harness AI’s ability to learn and adapt, ushering in a new era of attacks in which highly-customized and human-mimicking attacks are scalable – and travel at machine speed. Offensive AI could land on a target’s network and use the information that it sees to direct an attack, automatically working out where the most valuable data lies.

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