Today\u2019s complex threat landscape demands that, in addition to having a team of cybersecurity experts, every business leader needs to understand the current risks and how to manage them. Just as business is never static neither is risk management. <\/p>\n
The continual onslaught of information<\/a> can be overwhelming. The knowledge and foresight needed to detect, prevent and mitigate cybersecurity risks are extensive and ever-evolving. Leaders need a comprehensive understanding of cybersecurity and insights that consider more than just data. <\/p>\n The Unit 42\u00ae<\/sup> Threat Vector podcast deploys comprehensive cybersecurity insights in a medium easily accessible for busy leaders on the go<\/a>: a compelling biweekly podcast segment hosted on CyberWire Daily. It provides business leaders invaluable insights from Unit 42\u2019s threat intelligence experts, incident responders and proactive security consultants through engaging discussions, expert interviews and insightful analyses.<\/p>\n Let\u2019s look at some of the highlights of Threat Vector\u2019s first three episodes. You can also subscribe to hear future segments on CyberWire Daily here<\/a>. <\/p>\n It\u2019s on everyone\u2019s mind: How will AI benefit threat actors? <\/p>\n In our inaugural episode, Michael \u201cSiko\u201d Sikorski, CTO and VP of Engineering and Threat Intelligence at Unit 42 answers that question and speaks to the profound influence of artificial intelligence<\/a> in an interview with David Moulton, Director of thought leadership for Unit 42. <\/p>\n What\u2019s Sikorski\u2019s critical concern? The pervasive integration of AI, particularly ChatGPT and large language models (LLMs), into the cybersecurity landscape. Sikorski discusses where attackers benefit from AI and how it will supercharge social engineering attacks. The potential here is staggering, as AI can craft eerily convincing messages in the style of specific individuals, making it a potent tool for phishing attacks and virtually indistinguishable from genuine communication.<\/p>\n As Sikorski aptly puts it, \u201cLowering the bar for social engineering attacks means attackers are less likely to be caught due to language inconsistencies.\u201d The result? An upsurge in phishing attacks<\/a>. This shift necessitates heightened vigilance and proactive measures on the part of organizations.<\/p>\n The increasingly widespread use of artificial intelligence has another critical consideration: potential security exposures within enterprises. Companies must be acutely aware of ensuring employee compliance with both AI utilization and general security policies<\/a> to ensure that private data or sensitive information is not inadvertently shared or leaked. Businesses must remind employees that these are not private or confidential when using chat AI tools. <\/p>\n Ultimately, Sikorsi offers this advice for businesses with AI concerns: Instead of looking at companies riding the AI wave, look at those who have been working with AI for a long time and have the background to demonstrate their success. Sikorski shares, \u201cPalo Alto Networks stands out as a trailblazer in AI adoption, spanning early malware detection, malware family identification and more recent advancements in automating security operations centers<\/a> (SOCs) to efficiently handle the deluge of alerts.\u201d <\/p>\nEpisode 1: AI\u2019s Impact on Cybersecurity with Michael \u201cSiko\u201d Sikorski<\/h2>\n