So AI destroys modern IT infrastructure and therefore itself. Invest in postal futures, ink and paper.
IF you think your money disappears too quickly in today’s economy just wait until AI controls your digital wallet. a cashless society will absolutely rely on AI and if YOU don’t tow the line...you may well find yourself broker than a dropped egg. no paper trail = no recovery and a litany of digital excuses from “WHAT money” to “oh...we see what happened and in order to recover anything at all will only take 200 digital forms and at least two years. thats if the forms don’t get lost in the digital world”.
A spellchecker on steroids. I can’t wait.
“AI” is not sliced bread. If we thought the assclowns that snag our debit cards and CC now are bad........
So 3 clowns get interviewed ...
There has to be people working on an Artificial Intelligence blocker , LOL
I lived through Y2K, I am skeptical of consultants who tell you there is a gigantic problem and the only solution is more consultants.
Default (GPT-3.5)
User:
How great a challenge do hackers armed with generative AI pose to businesses?
ChatGPT:
Hackers armed with generative AI pose a significant and evolving challenge to businesses in the realm of cybersecurity. Generative AI, including variants like GPT-3 (the technology behind this AI), can create remarkably convincing and sophisticated content, mimicking human writing patterns and styles.
Here are some key challenges posed by hackers armed with generative AI to businesses:
Phishing and Social Engineering: Generative AI can craft highly convincing phishing emails, messages, or voice recordings that trick employees or customers into divulging sensitive information like passwords, credit card numbers, or access credentials.
Malware and Malicious Code Generation: Hackers can use generative AI to create malware variants that evade traditional detection methods by generating new, unique malicious code that cybersecurity systems may not recognize.
Automated Attack Variants: Generative AI can automate the creation of diverse attack vectors, making it challenging for cybersecurity defenses to keep up with evolving threats. This could include generating different attack scenarios, exploiting vulnerabilities, or devising novel intrusion strategies.
Spear Phishing and Targeted Attacks: Hackers can use generative AI to tailor attacks specifically for a particular organization or individual, making the phishing attempts highly personalized and difficult to detect.
Fake News and Disinformation Campaigns: Generative AI can be used to create highly persuasive and authentic-looking content, including fake news articles or social media posts, which can be leveraged for spreading disinformation, damaging a company’s reputation, or influencing public opinion.
Password Cracking and Brute Force Attacks: Generative AI can accelerate password cracking and brute force attacks by generating and testing a vast number of potential passwords or encryption keys.
Voice and Video Deepfakes: Generative AI can produce convincing deepfake videos or audio, potentially leading to scenarios where a hacker impersonates an executive or another trusted figure within a company to manipulate or deceive employees.
Evading AI-Based Security Systems: As AI-based security systems become more prevalent, hackers using generative AI may attempt to create attacks that evade detection by these very systems, leading to a constant arms race between cybersecurity and malicious AI.
To mitigate these challenges, businesses need to invest in advanced cybersecurity measures, including AI-powered security solutions that can detect and respond to attacks leveraging generative AI. Employee training and awareness programs, multi-factor authentication, regular security updates, and robust incident response plans are also crucial in building resilience against the evolving threat landscape. Collaboration between cybersecurity experts, AI developers, and policy makers is essential to stay ahead of emerging threats in this domain.