Digital systems have become crucial to the daily operations of most businesses, governments, and consumers across the globe. The increase in the use of digital systems has also seen an increase in the risk of the systems being hacked. Artificial intelligence (AI) and other solutions developed to ease daily operations of business have brought more complexity to a world that is already convoluted. Despite that, these new technologies can become strong allies, and if properly developed and embraced, they can provide new layers of security that will boost security and protect users against hackers.
Current regulations no longer applicable
The cybersecurity sector witnessed a torrid 2017. Cyber-attacks and breaches affected governments, national institutions, businesses and consumers all over the globe.
Investigators have revealed that systems that they were working with were outdated and needed improvement regarding protection. The problem encountered was not the systems but the security of the systems. The compliant regulations such as FISMA for financials, HIPAA for healthcare and others are no longer secure as they have been over the years. These regulations will become obsolete sooner or later. Other traditional concepts like perimeter security, storage-only encryption, access control based on privilege records, authentication, and others will also disappear very soon.
These security protocols will be replaced by new methods of security that will be advanced, with learning abilities. Two new technologies are expected to improve the cybersecurity space over the coming years. This can be achieved if the technologies are embedded in IT systems.
AI and blockchain to reshape current computing world
Artificial intelligence and blockchain technologies are viewed as techniques within the tech sector rather than security protocols. This is because they are built upon strong security measure and can boost security when adopted. Eugene Pilyankevich, CTO at Cossack Labs stated that “Many new techniques will arise through machine learning and weak AIs, especially in intrusion detection and making sense of large-scale monitoring and signal analysis. Many new techniques will arise from advancements in [blockchain platforms] cryptography and collective effort to eliminate poor cryptography. Still, we will have snake-oil products and systems.”
AI and blockchain present different characteristics according to their designs. AI solutions can be used to develop a learning security behavior with the ability to detect and eliminate threats. This is something humans do, but AI can do it thousands of time faster. Blockchain meanwhile takes advantage of a secure and highly encrypted digital ledger platform which can be accessed by authorized bodies only.
AI is currently used in as Intelligent Security solutions. They are protocols, software and raw codes that are added to the IT system of a company or institution. AI adds an extra layer of security with learning ability to counter threats, security breaches and other data collected through their mechanism of operation.
The addition of machine learning and AI to traditional security applications will give rise to Intelligent Security Solutions. This becomes more capable of adapting to new security threats and finding ways to secure applications. This system is designed with AI algorithms that can learn from security breaches and prevent them from happening in the future. This implies that the more attacks a system faces, the more reliable its security will become.
One of the ways that AI can identify a security breach and stop it is a solution dubbed service resilience. Daniel Miessler, Directory of Advisory Services at IOActive while explaining this solution stated that “A big trend I see is a focus on service resilience, i.e., making it so that a DDoS can melt one provider or one datacenter, but your service will automatically migrate to another site that can serve the same content.”