organizations need quickly Adapt your application security strategies to address the new threats posed by AI.
they include:
- More sophisticated bot traffic.
- More reliable phishing attacks.
- The rise of legitimate AI agents accessing customers’ online accounts on behalf of users.
By understanding the implications of AI on Identity Access Management (IAM) and taking proactive measures, businesses can stay ahead of the AI curve and protect their digital assets. Here are the top three work organizations preparing their application security to consider in their security strategies for a post-AI world:
We are already seeing examples of reverse engineering AI-powered sites to obtain free AI computing.
defend against reverse engineering
Any app that exposes AI capabilities client-side is especially prone to sophisticated bot attacks trying to “skim” or spam those API endpoints — and we’re already working hard to get free AI computing. Looking at examples of reverse engineering AI-powered sites.
Consider the example of GPT4Free, a GitHub project dedicated to reverse engineering sites to piggyback on GPT resources. It amassed an astonishing 15,000+ stars in a matter of days in a clear public example of reverse engineering.
To prevent reverse engineering, organizations must invest in advanced fraud and bot mitigation tools. Standard anti-bot methods such as CAPTCHA, rate limiting, and JA3 (a form of TLS fingerprinting) can be valuable in defeating simple bots, but these standard methods are easily defeated by more complex bot problems, such as AI endpoints. facing. Protection against reverse engineering requires custom CAPTCHAs or tamper-resistant JavaScript and more sophisticated tooling such as device fingerprinting tools.
