ThreatQuotient expert makes cyber predictions for 2020

ThreatQuotient expert makes cyber predictions for 2020

Ryan Trost, Co-founder and CTO, ThreatQuotient, makes his predictions for the cybersecurity landscape in 2020. He says: “I predict 2020 will see at least one high-value OT network get infiltrated and held for ransom.”  

As the 2020 budget meetings come and go – teams are forced to assess their current defences by analysing their historical attacks in order to anticipate/predict future attack trends. A difficult but worthwhile exercise for security leadership as they attempt to assess the adversaries’ trajectory and work to remain several moves ahead. More often than not, adversaries stay true to their methods but only make slight variations to their attacks – why change what historically works? This leads me to my first 2020 premonition.

A sharper concentration of cloud attacks. Companies continue to flock to cloud deployments, both private and public, to regain budget and unburden their IT departments. Teams have slightly more control and oversight over private cloud deployments but the public multi-tenant cloud deployments are target rich for an attacker. No need for the adversary to enumerate their prey when they can infiltrate the ‘entire herd’. By studying how a single cloud technology operates from infrastructure to defences, adversaries become more efficient and significantly decrease their attack costs.

Most adversaries are driven by financial gains and a significant operating metric for them revolves around their operational costs. Very similar to our defensive budgets, adversaries must weigh their operating costs against their potential profits. Therefore, their motivation to gain access to cloud environments provide an exponential financial gain.

I am not saying ‘all’ cloud deployments are doomed but security teams must absolutely have a voice at the table when deciding ‘which’ cloud environment. Security teams must evaluate and scrutinise cloud security practices to ensure due diligence is being performed by the vendor – for instance, ensuring the cloud vendor is undergoing routine penetration tests and not only resolving any weaknesses identified but asking how quickly their security team is identifying the penetration test.

An Operational Technology line will fall victim to a ransomware threat. Operational Technology networks are the primary lifesource for oil, gas and energy companies, as well as, massive manufacturing industries such as automotive. These environments typically rely heavily on older infrastructure and technology and are infrequently updated to the latest security levels.

Often, OT networks are overlooked because they don’t have the traditional weak points most organisations are defending for two primary reasons: 1) They generally are not connected to the Internet and 2) Do not have the high number of end-users who are susceptible to crafty email spear phish attacks or ‘click-happy’ websurfing. But as manufacturers live and die by product branding the importance for a company to comply with criminal demands warrants a lofty ransom threat. I predict 2020 will see at least one high-value OT network get infiltrated and held for ransom.  

Staggering surge of botnet armies. Botnet armies are nothing new, however, as endpoint devices in households become ‘connected’ and schools provide each individual student with personal computing devices it opens the doors for widespread takeover. I can appreciate the benefits of every single student having a tablet (or equivalent) for schooling.

However, I struggle to find the legitimacy of why my refrigerator needs an Internet connection, or for that matter, a video conferencing feature. As with any botnet army the individual devices don’t hold any real threat value but when controlled in the masses they provide a formidable attack mechanism for cybercriminals. Whether used for computation resources (think brute forcing passwords) or used to launch denial of service attacks against a target the volume of botnet armies will surely increase exponentially.

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