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Security

As explained in Inside AI

Security is the protection of systems, data, and operations from threats, misuse, disruption, or unauthorized access.

Security protects systems, data, and operations from threats, misuse, disruption, and unauthorized access. For critical AI applications, the risk is two-sided: AI can help detect threats, but malicious actors can also use it to launch cyberattacks and create destructive malware. section 11.16 section 1.2

Ransomware and critical infrastructure

Ransomware can remotely encrypt a victim’s files and demand payment for the decryption key. In 2015, a cyberattack forced Colonial Pipeline to shut down for a week; its CEO said the company paid a $4.4 million ransom amid the stakes of the disruption. section 11.16

Security concerns span both defenses and the systems being protected:

  • AI can support threat detection and prevention in cybersecurity and public safety, while also introducing risks of misuse. section 1.2
  • Smart agents incorporate security measures to protect sensitive data. section 4.2

How Inside AI covers it

How deep it goes
Illustrates security risks through ransomware incidents and broad AI applications, but gives little detail on defensive controls.
Examples
Uses file-encrypting ransomware and the Colonial Pipeline shutdown to illustrate operational disruption and ransom pressure.
What you can do after
Understand how AI can support threat detection while also enabling cyberattacks and operational disruption.
How it connects
Connects security with cybersecurity, ransomware, encryption, and smart-agent privacy.

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This explainer was generated by Manning's knowledge graph from the text of Inside AI. The section links point to the parts of the book it draws on.