On January 8, cybersecurity experts spotlighted generative AI’s dual effect, revolutionizing defenses with predictive threat detection while amplifying more sophisticated cyberattacks. So, how can generative AI be used in cybersecurity?
As industries adopt generative AI in cybersecurity tools, its transformative potential becomes clear. Beyond content creation, these tools now excel threat detection, data analysis, and real-time response.
AI’s ability to process large datasets and predict vulnerabilities offers organizations a proactive edge against cyber threats. However, the very same technology authorizes cybercriminals to craft advanced attacks, creating high-stakes dynamics as defenders and attackers leverage AI to compete in an ever-evolving digital battleground.
How Can Generative AI Be Used in Cybersecurity?
AI and machine learning in cybersecurity, while enabling bad actors to create sophisticated attacks and deepfakes, also holds tremendous potential to bolster defenses. As many as 75% of security professionals report an augmentation in AI-driven cyberattacks, while 85% highlighting generative AI’s role in said threats.
Generative AI in cybersecurity certification, for its part, is able to detect threats, analyze heaps of data, and spot vulnerabilities before they actually be exploited. While AI is often front-page news that enables bad actors to create incredibly complex and sophisticated attacks and deepfakes, it also holds tremendous potential in helping harden defenses.
Honeywell’s AI-powered platform use data pattern analysis in order to flag up potential risks, while AI fact-checking applications such as Full Fact and ClaimBuster check information in real time.
Deepfake detection generative AI used in cybersecurity tools, such as Microsoft’s Video Authenticator, and invisible watermarks for digital content are emerging technologies that are key in identifying fake media and ensuring the authenticity of content. Predictive security tools use historical data to anticipate vulnerabilities and counter them proactively.
Cyber Defense Human Layer
No matter how capable cybersecurity AI solutions may be, human expertise cannot be replaced in the sector of cybersecurity. As the weakest link in the chain, cybercriminals are increasingly targeting people. This layer can only be strengthened through continuous training, awareness programs, and implantation of transparency and learning culture.
“People are your front line of defense,” experts insist, pointing out the need to link technology with human vigilance. Strategy sharing, lessons from breaches experienced, and open environments in which cybersecurity is a shared responsibility work just as effectively as AI-driven tools.
AI’s cybersecurity in the era of generative AI abilities to think like a hacker is a game-changer. It offers unparalleled opportunities to stay ahead, highlighting the importance of teamwork. In the battle against cyber threats, AI and humans together form a formidable defense, to answer the question: “how can generative AI be used in cybersecurity.”
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