The emergence of generative AI models has created both challenges and opportunities within the cybersecurity space. As adversaries harness the power of large language models (LLMs) for sophisticated cyberattacks, defenders have an equal, if not superior, advantage to counter these threats. In order to win, you need a prepared SOC team and quality data.
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- Understanding the GenAI Threat Landscape: Delve into the motivations behind different threat actors, from financially driven hackers to state-sponsored disruptors, and how they might exploit GenAI.
- Generative AI as a Double-Edged Sword: While GenAI might simplify hacking, it also offers robust defense mechanisms. With the proper knowledge and data, Generative AI can be a game-changer for cybersecurity.
- Threats vs. Counters: Get a breakdown of potential threats and their GenAI-powered counters, from identifying fake videos to alerting developers about coding vulnerabilities in real-time.
- The Power of Data: Quality data is the driving force behind quality AI. Understand how AI can process vast data amounts to give defenders an unprecedented edge in the cyber landscape.