The Hidden Risks of AI in Cybersecurity
Artificial Intelligence (AI) is rapidly transforming the cybersecurity landscape β€” both as a powerful defense tool and a potential vulnerability.
πŸ” The Double-Edged Sword of AI
AI enhances real-time threat detection, automates incident responses, and helps anticipate attacks using predictive modeling. However, the same tech is being weaponized by bad actors.
🚨 Top Risks to Watch Out For:
  • Adversarial Attacks – AI models can be manipulated by poisoned data or prompts.
  • Data Privacy Leaks – Poorly secured AI systems may unintentionally expose sensitive data.
  • Bias & Compliance Violations – Improperly trained AI can lead to biased outcomes, violating GDPR, CPRA, or the AI Act.
🧰 Action Steps:
  1. Perform regular AI model audits
  2. Monitor inputs/outputs for adversarial behavior
  3. Use compliant data sets during training
Bottom Line: AI in cyber is a must-have β€” but only with tight compliance and oversight.
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The Hidden Risks of AI in Cybersecurity
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