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Artificial Intelligence and Machine Learning - Coggle Diagram
Artificial Intelligence and Machine
Learning
Cybersecurity Advantages
Helps detect fraud based on past patterns
Responds to threats faster than human security teams.
Accuracy improves the more the system learns from past issues
Can notice unusual behavior that signals cyber attacks.
Ethical Challenges
AI can repeat unfair biases found in the data. (This has been proven recently)
Can replace certain jobs and reduce work opportunities.
Hard to decide who is responsible when AI causes harm.
Can create fake images or videos that spread misinformation.
Cybersecurity Risks
People may rely on AI too much and stop double-checking leading to big issues
If training data is changed or corrupted, the AI can learn wrong behaviors.
AI may mislabel safe activity as harmful or miss real threats because it doesn't register new attempts
Hackers can also use AI to create stronger attacks and methods
The Challenges of Security/Privacy
Data can be used in ways people did not directly allow.
People are not always told how their data is stored or analyzed.
Requires large amounts of personal data.
Weak data storage can allow hackers to steal private information.