Data governance, authentication, artificial intelligence, the blockchain, RASP…: a detailed review of the 7 trends that will reshape the IT security landscape in 2019. Cybersecurity remains a major issue for most businesses, especially given the increasingly complex nature of the attacks they face, regardless of their size or industry.
- The security of personal data on the front line
The protection of personal data is more than ever an absolute priority for the majority of organizations. A trend reinforced in Europe by the implementation of the RGDP (General Regulation for Data Protection) in May 2018. According to Gartner, spending on security products and services is expected to reach $ 124 billion in 2019, of which at least 10% will be allocated to data protection and Privacy. At least 30% of organizations would thus plan to allocate budgets and expenses to consultations and implement services related to the RGPD in 2019.
- Next generation authentication
While traditional passwords are still needed for verification and identification purposes, they are no longer sufficient to guarantee data security. While biometric verification and two-factor authentication have brought real advances in security, other alternatives have begun to emerge, promising major innovations. Identity-as-a-Service (IDaaS), for example, is becoming increasingly popular. So much so that their implementation should soon supersede the IAM (Identity and Access Management). Fast Identity Online (FIDO), which uses biometric and voice recognition, is also beginning to emulate, providing a much higher level of security.
- The promises of the blockchain
Precisely, let’s talk about it! The blockchain offers tremendous opportunities for data security. The structure of the blockchain removes the single error point problem, making it more difficult for hackers to compromise large volumes of data. The US FDA has developed a health data sharing platform based on the blockchain, which allows its various agencies and their hospital partners to exchange patient data in real time and in an ultra-secure manner. While the use of the blockchain for data security purposes is still in its infancy, it is high time for organizations to take a close interest in it and become familiar with this type of technology, which they may not be able to do without in the future.
- Safety enhanced by AI
According to ESG Research, since 2017, about 40 % of companies have deployed a solution based on artificial intelligence (AI), to a more or less advanced degree. Today, AI is considered the most reliable and robust bulwark against increasingly numerous and sophisticated cyber threats. The spectacular advances in AI, machine learning and predictive analytics now allow organizations to have a much better ability to diagnose and understand their security in real time.
- Towards self-protection of applications
Automation technologies have gradually gained ground in the field of application security in order to overcome human fallibility. Combined with AI and machine learning models, automation is now taking a new turn by allowing applications to self-protect. RASP (Runtime Application Self-Protection) is thus a major trend in application security. Rasps provide an additional layer of security by detecting, diagnosing and countering attacks that occur at the application level (such as SQL injections). Gartner estimates that nearly 40% of companies will use rasps by 2020.