Serial cybersecurity entrepreneur Shlomo Kramer said in a 2005 interview that cybersecurity is “a bit like Alice in Wonderland” where you run as fast as you can only to stay in place. In 2020, to paraphrase the second part of the Red Queen’s observation (actually from Through the Looking Glass ), if you wish to stay ahead of cyber criminals, you must run twice—or ten times—as fast as that. The 141 predictions listed here reveal the state-of-mind of key participants in the cybersecurity defense industry and highlight all that’s hot today. The future is murky, but we know for sure that on January 1, 2020, the California Consumer Privacy Act (CCPA) will go into effect; that the U.S. presidential election will take place on November 3, 2020; and that on October 1, 2020, if you “wish to fly on commercial aircrafts or access federal facilities” in the U.S., you must have a REAL ID compliant card.
Other than these known events, the crystal balls of the participants in this survey warn us about the impact of emerging technologies such as AI, 5G, and quantum computing and evolving technologies such as the internet of things (IoT), things that move (autonomous vehicles and mobile phones), and the cloud; the role cybersecurity will play in the presidential election; the emerging global cyber war; the increasingly targeted and profitable ransomware attacks; the sorry state of personal data privacy; the significant issue of the best way to deal with identity and authentication; the new targets and types of cyber attacks; how to fix cyber defense; the important role people play in cybersecurity and the what do about the cybersecurity skills shortage; and the good, the bad, and the ugly of the business of cybersecurity.
To win a war, you better join forces with like-minded allies, something that unfortunately may not be considered at all by the entities under attack, but has proven to be a successful strategy for cyber criminals. “It takes a network to defeat a network” says Rina Shainski, Co-Founder and Chairwoman of Duality Technologies.
141 predictions for 2020 from key participants in the cybersecurity defense industry, highlighting ... [+] all that’s hot today
Getty What role emerging technologies (AI, machine learning, 5G, quantum computing) and evolving technologies (IoT, mobile—including autonomous vehicles, cloud) will play in improving the efficiency and effectiveness, breadth and depth, of cyber attacks in 2020?
“AI is going to be HUGE in 2020. And by huge, I mean that a lot of vendors will claim they are using AI—ranging from using simple linear regressions, up through using deep learning. While linear regression is pretty far from AI, we might trust those vendors more to deliver a working product than many who use deep learning techniques as the entirety of their solution. What we’ll see in many spaces is folks starting to understand the limitations of algorithmic solutions , especially where those create, amplify, or ossify bias in the world; and companies buying technologies will really need to start understanding how that bias impacts their operations”—Andy Ellis, Chief Security Officer, Akamai
“As AI adoption in cybersecurity expands, security concerns around AI bias will grow. As security teams' use of AI continues to grow, they'll need to monitor and manage for potential bias in their AI models to avoid security blind spots that result in missed threats or more false positives. One way to help prevent bias within AI is to establish cognitive diversity - diversity in the computer scientists developing the AI model, the data feeding it, and the security teams influencing it"—Aarti Borkar, Vice President, IBM Security
”In the world of financial services, because of the ever-growing number of financial cyber-attacks, regulators will become more open to banks using advanced AI systems to identify unknown and unexpected threats . However, explainability and transparency of these AI systems will be crucial”—Mark Gazit, CEO, ThetaRay
“As the use of AI continues to permeate the business world and influence decision making, there will be increasing scrutiny and attention given to interpretability of AI in order to support organizational adoption of AI solutions. With this, we will see an increase in legal and technical experts focusing on how to effectively audit AI algorithms for bias . Human-interpretable models that account for biases such as gender or race will help prevent occurrences such as the recent gender-based Apple Credit Card algorithmic misstep”—Justin Silver, Ph.D., Manager of Data Science & AI Strategist, PROS
"We will see threat actors use deepfakes as a tactic for corporate cyberattacks, similar to how phishing attacks operate. That’s where the money is for cyber crooks, and they can wreak serious havoc on unsuspecting employees. This means organizations will need to keep validation technology up-to-date; the same tools that people use to create deepfakes will be the ones used to detect them, so...