![]() ![]() The report noted: “open source was in nearly everything we examined this year it made up the majority of the code bases across industries,” the report said, adding that the code bases contained troublingly high numbers of known vulnerabilities that organizations had failed to patch, leaving them vulnerable to exploits. Since most software applications rely on open source code, this is still a significant cybersecurity issue to address. The vulnerability data was included in Synopsys' 2023 Open Source Security and Risk Analysis (OSSRA) report on 2022 data. ![]() ![]() Unfortunately, according to Synopsys researchers, at least one open source vulnerability was found in 84% of code bases. Open Source Vulnerabilities Found in 84% of Code Bases Programming code abstract technology background of software developer and Computer script getty Frederic Lemieux ()Ĭyber-Crime and the Cyber Statistics to Explore so Far in 2023 Frederic Lemieux Three Key Artificial Intelligence Applications For Cybersecurity by Chuck Brooks and Dr. Please also see the recent FORBES article discussing three key applications of artificial intelligence for cybersecurity including, Network Vulnerability Surveillance and Threat Detection, Incident Diagnosis and Response, and applications for Cyber Threat Intelligence Reports: Three Key Artificial Intelligence Applications For Cybersecurity by Chuck Brooks and Dr. There is an urgency for both industry and government to understand the implications of the emerging morphing cyber threat tools that include AI and ML and fortify against attacks. ![]() The growth of the Internet of Things will create many new targets for the bad guys to exploit. Extortion by hackers using ransomware and demanding payment by cryptocurrencies may become and more persistent and evolving threat. Small business, organizations, and especially healthcare institutions who cannot afford significant investments in defensive emerging cybersecurity tech such as AI are the most vulnerable. Adversarial Nations and criminal hackers are already using AI and MI as tools to find and exploit vulnerabilities in threat detection models.Ĭyber criminals are already using AI and machine learning tools to attack and explore victims’ networks. While it can be used to rapidly identify threat anomalies and enhance cyber defense capabilities, it can also be used by threat actors. While AI and ML can be important tools for cyber-defense, they can also be a two edged sword. In a cybersecurity context, AI and ML can provide a faster means to identify new attacks, draw statistical inferences and push that information to endpoint security platforms. They enable predictive analytics to draw statistical inferences to mitigate threats with less resources. AI’s capabilities in contextual reasoning can be used for synthesizing data and predicting threats. Specifically it can (and is being) used to help protect against increasingly sophisticated and malicious malware, ransomware, and social engineering attacks. My Take: AI and ML can be valuable tools to help us navigate the cybersecurity landscape. International Data Corporation (IDC) says AI in the cybersecurity market is growing at a CAGR of 23.6% and will reach a market value of $46.3 billion in 2027 Please see: Experts predict how AI will energize cybersecurity in 2023 and beyond | VentureBeat AI and ML Making Impacting the Cyber-Ecosystem in a big Way in 2023 and Beyond ![]()
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