Thorsten Stremlau, co-chair of TCG's Marketing Work Group, discusses how security of data systems for AI can be kept strong Attacks on artificial intelligence (AI) differ from the typical cyber security threats seen on a daily basis, but this does not mean they are at all infrequent. Hacking continues to become increasingly sophisticated, and has evolved from simply hiding bugs in code. Unless properly secured, hackers are able to tamper with these systems and alter its behaviour in order to'weaponise' AI. This provides a perfect way for hackers to obtain sensitive data or corrupt systems designed to authenticate and validate users, with no easy fix should an attack be successful. Where security is considered, it is not only important to look at the aspects of a rogue AI, but also how the data sets of a system can be secured.

Energy, Oil and gas wealth is considered as one of the most valued commodities across the globe. As the revenue in the sector spikes, the security risks it faces also increases with more cyber and physical attacks taking place in the recent years. Unlike other industries, energy, oil & gas sector get a big bang on its whole working system every time a security breach happens. Ultimately, video analytics combined with artificial intelligence (AI) is shoving hackers the exit door with its extended technological influence. According to a report, global energy was valued at US$1.7 trillion, which is a 2.2% of the global GDP in 2016.

Across over 25,000 cloud services, each enterprise generates more than three billion events per month, including uploads, logins, shares, edits, etc. About 21 percent of the files in the cloud contain sensitive data. On average, an enterprise experiences 12.2 incidents of stolen account credentials stored in the cloud, per month. Cisco's 2018 Annual Cybersecurity Report examined trends and patterns in data theft, data loss, and other issues. The report revealed that 32% of security leaders are completely dependent on artificial intelligence (AI) to protect their sensitive corporate information.

The world of cyber security is becoming increasingly more difficult for businesses looking to protect their assets. Attacks are becoming more sophisticated, with cyber criminals making use of ever advancing technologies. Even with modern machine driven security systems, it is becoming increasingly complex for businesses to differentiate between a genuine visitor and criminals attempting to breach or bring down their systems. With news that MIT has developed Artificial Intelligence (AI) capable of detecting 85% of cyber attacks - and still learning - does the future of cyber security lie with robots? Built by MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the machine-learning startup PatternEx, this artificial intelligence platform known as AI2 will spark an interesting debate about the role of AI in protecting an organization from cyber attacks.