AI in Cybersecurity – Canary Trap

AI in Cybersecurity - Canary Trap


The rise of AI in cybersecurity presents both significant benefits and challenges. AI enhances threat detection, automates responses, and reduces costs, transforming the cybersecurity landscape. AI has been leveraged to predict attacker moves and detect vulnerabilities with high accuracy. However, it has also enabled sophisticated cyberattacks, such as deepfakes and adaptive malware, which can evade traditional defenses. Balancing AI’s benefits and risks requires transparency, accountability, and robust ethical frameworks. Investing in good AI, supporting research in threat detection, and developing international guidelines for ethical AI use are crucial. The future of cybersecurity depends on a collaborative approach that combines AI with human intuition, ensuring AI remains a tool for protection rather than a threat. Education and critical thinking skills will equip individuals to interact with AI responsibly. Ultimately, technologists, policymakers, and ethicists must work together to ensure AI serves as a shield against cyber threats and not as a weapon for malicious actors.

TS, Abiraami. 2024. “The Rise of AI in Cybersecurity: Friend or Foe? ” Medium. Jan. 22. READ: https://bit.ly/3VFazKM

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The rise of AI in cybersecurity presents both significant benefits and challenges. AI enhances threat detection, automates responses, and reduces costs, transforming the cybersecurity landscape. AI has been leveraged to predict attacker moves and detect vulnerabilities with high accuracy. However, it has also enabled sophisticated cyberattacks, such as deepfakes and adaptive malware, which can evade…

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