Sophos announced four new open Artificial Intelligence (AI) developments to help broaden and sharpen the industry’s defenses against cyberattacks, including datasets, tools and methodologies designed to advance industry collaboration and cumulative innovation. This move accelerates a key Sophos objective to open its data science breakthroughs and make the use of AI in cybersecurity more transparent, all with the aim of better protecting organizations against all forms of cybercrime.
While it is common practice to share AI methodologies and findings in other industries, cybersecurity has lagged in this effort, creating a noisy understanding of how AI truly provides protection against cyberthreats. Sophos and its team of SophosAI data scientists are catalyzing this change toward openness, so that IT managers, security analysts, CFOs, CEOs, and others making security buying or management decisions, can discuss and assess AI benefits from a level and well-informed playing field.
It is difficult to overstate the criticality of this shift given the immense potential of how AI can benefit cybersecurity. Sophos evidence shows that defenders are increasingly facing human adversaries who are constantly upping their game, launching highly contextualized Business Email Compromise (BEC) forgery campaigns or relentlessly developing new ransomware attacks. Scalable and effective defenses against these and most other types of cyberattacks require assistance from AI. Openness and peer review among those applying AI to address these security threats stimulate innovation and discoveries, driving the entire industry forward.
Sophos is providing datasets, tools and methodologies in four important areas:
SOREL-20M Dataset for Accelerating Malware Detection Research
SOREL-20M, a joint project between SophosAI and ReversingLabs, is a production-scale dataset containing metadata, labels and features for 20 million Windows Portable Executable files (PE). It includes 10 million disarmed malware samples available for download for the purpose of ..
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