Small and midsize businesses need proactive measures to ensure security just as much as any large organization. But challenges abound for SMBs as they struggle with a smaller staff and budget constraints, making them more vulnerable to cyberattacks, said SonicWall President and CEO Bob VanKirk.
Early-stage startups interested in the implementation of artificial intelligence are often concerned about the policies surrounding AI use. While some startups are looking at automating policies, others are building platforms to test the accuracy, integrity and robustness of AI models.
Digital transformation has expanded the attack surface with cloud and SaaS applications and led to more users working outside the corporate network, said Arctic Wolf president and CEO Nick Schneider. Midmarket businesses have prioritized security spending around detection and response.
International law enforcement agencies arrested hundreds in what authorities say is the largest crackdown on illicit drugs over the dark web, also revealing that German law enforcement was behind the December 2021 disappearance of dark web drug marketplace Monopoly Market.
The definition of insider threat seems to have evolved since the hybrid workforce became the norm. More organizations are now talking about the "compromised insider." Randall Trzeciak of Software Engineering Institute said that in the last three years, insider threats have changed to insider risks.
A woman suing Lehigh Valley Health Network dropped her push for a court order requiring the medical center to pay ransomware hackers in exchange for their pledge to remove from the dark web partially naked exam room photos stolen during a hacking incident.
Generative AI has revolutionized the way people interact with chatbots. Ruby Zefo, chief privacy officer and ACG for privacy and cybersecurity at Uber Technologies, cited ChatGPT as an example of the need to conduct an "environmental scan" of both external and internal risks associated with it.
Divakar Prayaga, A.P. Moller - Maersk's director for security engineering, discusses the evolution of a CISO's role from a tech to a business partner, how it affects a firm's cybersecurity posture and how to get the best return on security technology investments amid challenging economic conditions.
As COVID-19 made remote work more prevalent, managing identity through both network and remote capabilities became a challenge for organizations. Zero trust is a big initiative for the Center for Internet Security, but applying zero trust principles to its infrastructure has not been easy.
Pre-RSA social media gaming predicted it. Many predicted they would loath it. And it happened: Discussions at this year's RSA conference again and again came back to generative artificial intelligence - but with a twist. Even some of the skeptics professed their conversion to the temple of AI.
Organizations often face challenges when they aim to build sustainable security programs at scale. Anna Westelius, director of security engineering with Netflix, discussed the company's big infrastructure projects that give it more leverage over time than investing in manual processes.
With new legal, contractual and cybersecurity requirements, the regulatory landscape is constantly changing on both local and national fronts. As a result, compliance can become increasingly difficult, leaving organizations with a certain amount of risk, said James Shreve, partner, Thompson Coburn.
The pandemic brought about notable shifts in technology and cybersecurity. It also widened the attack surface, making it bigger than ever before. This change is driven by factors such as hybrid workplaces, cloud migration and SaaS dependencies, according to SANS Institute's Ed Skoudis.
The number of ransoms paid by organizations is on the decline, which is positive news. But we know that the criminals are always innovating. Valerie Abend, global cyber strategy lead at Accenture, said cybercriminals are constantly learning to accomplish their objectives.
There is a growing need for "citizen data scientists," such as engineers and programmers, to better understand the inner workings of AI and ML as those technologies become more ubiquitous, said Tom Scanlon, technical manager of the CERT data science team at Carnegie Mellon University.
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