With the increasing surge of persisting and advanced security threats, the deep learning and machine learning traits of Artificial Intelligence will provide greater use for security when constant surveillance against malware bots is required.
According to a report, the increasing number of security breaches and increasing BYOD trends have further pushed AI into the growth of the security market to provide protection against various cyber attacks.
Security Turns Towards Artificial Intelligence To Bridge Gaps
As it stands, sophisticated AI are reportedly quite proficient in identifying and preventing such threats from proliferating into systems.
With the rise of IOT, connected enterprises, and connected devices, the security market can no longer make machine-specific security measures for an ever-dynamic world.
Security now needs to be bumped up to something that can identify changing threats by constantly adapting and recognizing patterns in contrast to something that needs to be constantly supervised and maintained.
AI provides the answer as it possesses the capability to not only automate the supervision process but also constantly change itself to properly counter new and emerging threats by deploying constant analysis and learning measures.
According to the publisher, the AI in security market is expected to reach $11.95 billion by 2024, growing at a CAGR of around 34.9% during the forecast period.
Many security companies are already looking to involve AI in the security industry to provide enhanced including companies like IBM Corporation, Palo Alto Networks Inc., Amazon, Cylance, LogRhythm, Sift Science, Darktrace, Securonix, and ThreatMetrix. Companies such as IBM Corporation, Palo Alto Networks, Cylance are the key players in the Supply Chain Analytics market.
While these companies are still planning out their course, other companies have already begun their operations.
In recent developments, IBM and MIT have already invested in a joint venture named MIT-IBM Watson AI Lab aimed at providing Artificial Intelligence and Machine Learning based algorithms and solutions to various fields inclusive of Healthcare and Cybersecurity.
Furthermore, Pablo-Alto Network recently acquired Sedco to apply Endpoint Detection and Response (EDR) capabilities to its pre-existing End Point Protection and Application Framework. AI is already beginning to appear in Security measures.
Forecasts indicate that AI can be used to completely bridge software gaps by the year 2024 if all goes as planned.