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DO YOU HAVE BLIND TRUST IN AI FOR CYBER SECURITY?
Businesses need to recognise that AI is only as good as the data it is trained on and incomplete datasets can result in AI misidentifying threats or generating false positives, leading to ineffective security measures. Human intervention is required to fine-tune AI models and ensure they are both accurate and adaptable says Ryan Boyes at Galix.
Artificial Intelligence is reshaping the landscape of information security, presenting both unprecedented opportunities and significant new threats. While AI-driven solutions can enhance threat detection, automate responses, and improve compliance with stringent regulations like the Protection of Personal Information Act, the General Data Protection Regulation, and the Health Insurance Portability and Accountability Act, they also introduce vulnerabilities that could be exploited by cybercriminals.
The challenge for businesses is clear: how can you leverage AI effectively while mitigating the risks it inherently brings?
AI’ s capabilities in cybersecurity are vast. Machine learning algorithms can analyse immense datasets, identifying patterns and anomalies that might indicate
AI is undeniably transforming information security, but it is not a silver bullet.
a security breach. This allows organisations to detect threats faster than traditional methods, reducing response times and limiting damage. AI also enhances compliance efforts by streamlining data classification, access control, and audit processes, ensuring that businesses adhere to evolving regulatory frameworks.
Beyond detection and compliance, AI is playing a crucial role in automating routine security tasks, freeing up security teams to focus on strategic threat management. The ability of AI-powered security tools to adapt and learn from previous attacks means that
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