Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The web is the most powerful application platform in existence. As long as you have the right API, you can safely run anything you want in a browser. Well… anything but cryptography. It is as true today as it was in 2011 that Javascript cryptography is Considered Harmful. The main problem is code distribution. Consider an end-to-end-encrypted messaging web application.

‍General-purpose AI (GenAI) and other artificial intelligence (AI) systems are now completely embedded within business processes across the market. The once purely imagined technology is significantly influencing operations and reshaping the very processes under which high-level decisions are made.

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In a bid to quickly join the AI race, enterprises are steadily pouring time and money to adopt it. While designing a new AI tool, security and compliance are often an afterthought for developers and product managers. For industries that don’t handle sensitive data, AI adoption does not necessitate embedding strong privacy controls. However, highly regulated sectors like healthcare, finance, or government defence contractors can’t afford to launch without adhering to regulations.

Organizations across industries are actively investing in AI to streamline operations, boost productivity, and stay ahead in competitive markets. However, most proceed with caution when rolling out new AI solutions internally as they need to meet standards for AI security, compliance, and responsible use through rigorous testing and assessments. ‍ At the same time, teams may occasionally adopt AI solutions outside formal channels to simplify their workload.