What AI can and can't do for your cybersecurity team today

In cybersecurity, AI is both revolutionary and confusing. This eBook clarifies AI's role, explaining artificial intelligence, machine learning, and deep learning features that benefit security teams most, and parses out fact from fiction. For instance:
• AI excels at analysing data, predicting threats, prioritising risks, and automating responses, but it's not a silver bullet
• AI's effectiveness depends on the quality and quantity of training data
• Combining traditional methods with AI often yields better results
• Security teams should ask vendors critical questions about their AI implementation
Read this paper to understand AI in cybersecurity fully.
• AI excels at analysing data, predicting threats, prioritising risks, and automating responses, but it's not a silver bullet
• AI's effectiveness depends on the quality and quantity of training data
• Combining traditional methods with AI often yields better results
• Security teams should ask vendors critical questions about their AI implementation
Read this paper to understand AI in cybersecurity fully.