#ai-vulnerabilities
#ai-vulnerabilities

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Hackers exploit a blind spot by hiding malware inside DNS records

Encrypted DNS traffic complicates identifying malicious requests for organizations.

Privacy professionals

Information security

Privacy professionals

Information security

Sophisticated crypto-jacking attacks target public API servers, evolving tactics to evade detection.

DevOps tools and popular AI interfaces are increasingly vulnerable to cryptojacking efforts.

AI chatbots remain vulnerable to jailbreaking, enabling harmful responses despite industry awareness.

The emergence of 'dark LLMs' presents an increasing threat to safety and ethics.

Generative AI models can be exploited if instructed with malicious intent, posing significant risks.

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