3 things companies should do to secure their applications in the AI ​​era

Applications of AI

organization quickly Adapt your application security strategy to address new threats accelerated by AI.

They include:

  • More sophisticated bot traffic.
  • A more credible phishing attack.
  • The rise of legitimate AI agents accessing customer online accounts on behalf of users.

By understanding the impact of AI on identity access management (IAM) and taking proactive steps, businesses can stay ahead of the AI ​​era and protect their digital assets. Here are the top three actions organizations should consider in their security strategy as they prepare application security for the world of AI and beyond.

We’ve already seen examples of people reverse-engineering AI-powered sites to get free AI compute.

Defend against reverse engineering

Apps that expose AI functionality on the client side are at particular risk from sophisticated bot attacks aimed at “skimming” or spamming those API endpoints. We’ve also already seen examples of AI-powered sites being reverse-engineered to get free AI computing.

Consider the example of GPT4Free, a GitHub project dedicated to reverse engineering sites that utilize GPT resources. As a blatantly public example of reverse engineering, it received a staggering 15,000+ stars in just a few days.

To prevent reverse engineering, organizations should invest in advanced fraud and bot mitigation tools. Standard anti-bot methods such as CAPTCHA, rate limiting, and JA3 (a type of TLS fingerprinting) can help defeat normal bots, but these standard methods are not as effective as AI endpoints face. Easily defeated by more complex bot problems. Protecting against reverse engineering requires more advanced tools such as custom CAPTCHAs, anti-tampering JavaScript, and device fingerprinting tools.

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