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Artificial Intelligence: The Future of Identity Management?



Artificial Intelligence, Identity Management

As both our professional and personal lives become more and more digitally connected, identity and access management (IAM) is more important than ever. From trade secrets that could fall into the wrong hands at work to credit card numbers that are compromised while shopping online, today’s lifestyle forces IAM innovators to find new ways to keep our data secure.

One promising solution? Artificial intelligence.

Artificial intelligence, or AI, has sparked our curiosity for nearly a century. Far from the clunky robots of 1950s science fiction films, today’s AI technologies are used in ways many people could never have imagined. With the rise of smart devices and personal assistants like Apple’s Siri and Amazon Alexa, AI has become a part of everyday mainstream life for many people.

When it comes to identity and access management, AI can streamline the process to help employees work more efficiently. A common problem workplaces face is that employees may not fit neatly into access categories found in their database. Employees may need one-time access to a file or different levels of access despite working in the same role. Sorting this out can cause “security fatigue,” as it requires collaboration across departments and multiple levels of verification.

AI can provide context and make access easy to understand for every employee. Because AI can detect anomalies and potential threats, there is no need to go through multiple tiers of security to grant an employee the access they require. This speeds up the verification process, allowing employees to get to work faster and more easily.

In addition to inefficiency, another major problem in IAM is hacked and stolen access keys. Whether it’s physical keys or passwords, simply having the login information is enough to gain access to sensitive data in many systems. However, because AI “learns” patterns of user behavior over time, it can more easily identify a potential breach. This capability is useful for everything from a bank spotting a stolen credit card to a virtual assistant only responding to its owner.

Thierry LeVasseur, a Vancouver-based tech executive thinks that AI and machine learning make up at least part of the future of IAM. As AI becomes more accessible, he says, “sectors that previously couldn’t take full advantage of the technology – like medicine and energy – have the opening. We’ll see big gains in economic productivity as a result.”

The Forbes Insights Team describes using AI for IAM by saying, “Where once cybersecurity meant sealing a perimeter with firewalls, now it’s about fluid responses to morphing threats and encasing a “perimeter” around each user to govern access to systems, applications and data. Instead of one fence around the house, today’s approach to governing access is about watching every window and door and blade of grass.”

Using AI for identity and access management not only makes the process easier for employees, but also keeps data more secure. AI can reduce security risks, learn patterns of use and spot deviations within them, improve compliance with data privacy regulations, and boost employee productivity.

Irfan is a Digital Marketer with an entrepreneurial vision. His Aim is to Help Business to Increase their Online Visibility On Google and other Search Engines. Irfan is working in this field from last 3 years and he is well aware of all recent and past Google Algorithms by which he use to write blogs on different niches likes Technology, Business, Finance and etc.

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