Bad actors are already using AI and ML to their advantage, building platforms to deliver malware at unprecedented speeds and scale. And because humans alone cannot keep up with the increasingly complex techniques deployed by cyber criminals, those in the threat detection business must use AI, ML, and automation to maintain an edge over these malicious actors

Tech support fraud is increasingly becoming a larger problem, with losses from scams surpassing US$146 million, which is a 171% year-on-year increase. Con artists usually try to defraud their victims by offering to resolve non-existent technical issues, such as a software license expiring, or warning them that their email or bank accounts have been “compromised”.

It took 8.8 days, on average, for threats to become known by hash to antivirus engines – giving hackers over a week’s ‘head-start’ to further their campaigns.

While organizations of all sizes fell victim to DDoS last year, two of the world’s largest companies made headlines for suffering unprecedented attacks. In June 2020, Amazon revealed a DDoS attack on its public cloud earlier that year that peaked at 2.3 Tbps, almost twice the size of the previous largest recorded attack.

On the occasion of Data Privacy Day 2021, TECHx goes one-on-one with Houssem Jemili, Partner at Bain & Company the Middle East to discuss recent data privacy trends & how Bain & Company contributes to the future of the regional data privacy landscape.