We are living in a constantly changing world and interconnected business environment where people and companies are constantly collaborating together. The business becomes more productive and efficient because of this collaboration but at the same time, the probability of the company becoming a victim of a data breach or another cyber threat also grows. It is not an easy task to determine who should have access to what information for many businesses and ignoring this problem could make their systems vulnerable. Because of this, it is of utmost importance to have an AI based Identity & Access Management (IAM) strategy.
Many of the companies do not have a serious approach to IAM. That means that the risk for these companies to suffer from a data breach is twice as high compared to organizations that have their IAM strategy applied. The more strategic an IAM approach is, the lesser is the security risk.
On the other hand, Artificial Intelligence (AI) offers the potential for intelligent, immediate security to implement access control. Should the system believe who the user says and are just because a user proved who they were at log-on two minutes ago using traditional passwords or even with a biometric ID? AI will eliminate it by taking clues from visual images and voices. As the users move around the network, AI systems could constantly monitor them.
But, the question is how and why Artificial Intelligence (AI) adds value to IAM? This will have the answer to this question.
Identity and Access Management (IAM) is an important part of the entire IT security that manages digital identities and user access to systems, resources, and data across the company. IAM is the security management system. Being a security management tool lowers the identity-related access risks within a business.
Nowadays, for both on-premises and cloud implementation leading IAM solutions are available.
To diminish risks, upgrade compliance, and improve efficiency across the enterprise, you need to choose the best IAM security partner for your organization. Click here to know more about what IAM is and how to get started with IAM.
Artificial intelligence (AI) is the art of human intelligence processes by machines, especially computer systems. AI has the capability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
AI technologies play an important role in making an effective IAM strategy and can help to avoid a lot of troublesome situations. Artificial Intelligence (AI) assists companies in growing from an entirely technical approach to access management into a form of access management that is understandable on all levels of the organization.
Analytics when done with artificial intelligence (AI) can provide more accurate and contextual insights with the purpose that both technical and non-technical employees can work more efficiently. Latest technologies provide new ways to learn new insights and automate processes, which can significantly speed up the existing IAM compliance controls. Without any need for security experts, they can detect fraudulent and potential threats. This provides employees with the information they need to make correct decisions. Such progress is of utmost importance, mainly in the area of malicious detection and in the area of fighting insider threats. In this way, the organizations are continuously in control, secure and compliant.
Apart from biometric passwords, it is easy to identify a user with extra security by using sight and sound with the help of AI. Apart from checking against predefined credentials, AI would be able to understand and verify by using visual and aural clues whether a person was who they claimed to be. It could also understand when to grant access, and act accordingly. Allowing access on the basis of artificial intelligence (AI) is the logical next step from biometric ID.
AI systems will also monitor in real-time any unusual or fraudulent activity working within a user’s access permissions. It will even detect whether a user is trying to access a part of the system he wouldn’t normally or download more documents than he usually would.
Continuous monitoring by AI will reveal the user behavior, which could indicate malicious intent or breach activity. Machines can handle huge amounts of data and scan it faster than even the most dedicated IT department can scan and alert organizations regarding any abnormal behaviors far enough in advance to reduce fraud network compromise or loss of data.
Security policies incorporate AI “learn” patterns of user behaviors by observing how different identities interact with enterprise networks. Through this, the system can detect what is normal and correct and what is suspicious or malicious.
It is easy to automate authentication with the help of AI and it has the capability to monitor subtle details of users’ actions for low-risk access situations in this way it reduces some of the burden of IAM administration from the IT department. Taking into account these details before allowing network access makes IAM effective and granular and can cut off potential problems caused by improper provisioning or de-provisioning. There is no need for the IT department to waste time on figuring out the basics of least privilege for each case as AI-powered systems are able to apply suitable IAM policies to any access request on the basis of requirements and circumstances.
The notion of identity has grown to include not only human users but also devices and applications, making a tough situation for those in charge of identity governance. There may be a huge number of identities accessing resources across an organization’s network on a daily basis, each with its own unique set of situations. The situation becomes even more complex when cloud technology enables users to access networks from any location or device and flexible or remote workers enter the picture. It is becoming difficult or sometimes impossible for IT teams to handle the situations of adding access by customers, clients, or third parties to the picture, and consistent enforcement of IAM policies.
Introducing AI keeps an eye on all the things, all the time, and a machine can detect fraudulent activity soon. Complex interactivity across the network becomes visible, which enables IT teams to implement smarter administrative actions and make more informed decisions regarding user permissions
Many enterprises make the mistake when thinking that complying with security and privacy regulations is sufficient to keep hackers away. Actually, these laws are not enough to meet the security needs of every organization. The basics of compliance refer to ensuring information is only accessed by those who need it and ignoring everyone else. The flexible and adaptable nature of AI-powered IAM is very helpful in these situations. Due to the fact that AI and ML constantly monitor traffic, learn behaviors and apply granular access controls, enterprises face less of a challenge when enforcing security protocols, and it becomes difficult for hackers to get any use out of stolen credentials.
Autonomous Access by ForgeRock, recently revealed by CEO Fran Rosch, is a breakthrough in threat defense that promises to be an exciting addition to the ForgeRock product line. This sophisticated solution employs artificial intelligence (AI), machine learning, and advanced pattern recognition to assist your teams in detecting fraud and preventing cyberattacks in real time.
Unauthorized access continues to be the most common source of security breaches. Autonomous Access can help you prevent these persistent and costly threats by incorporating powerful, intelligent defences into the identity perimeter. Simultaneously, AI’s capabilities provides faster, wiser access decisions to improve the experience of your authorised users; for more information on Autonomous Access, go here!
AI is no longer an option but a necessity. In the cyber security environment, it has become a trend. Constantly increasing the number of interconnectivity, human and device identities and the common practice toward global access make companies opt for AI technologies in security protocols. And to implement a risk-based approach to Identity and Access Management (IAM), the enterprises will need advanced identity analytics powered by Artificial Intelligence (AI) and Machine Learning (ML). It is a proven fact that ML and AI-based identity analytics delivers effective improvements to IAM architecture and program management.
Sennovate delivers custom identity and access management (IAM) and managed security operations center (SOC) solutions to businesses around the world. With global partners and a library of 2000+ integrations, 10M+ identities managed, we implement world-class cybersecurity solutions that save your company time and money. We offer a seamless experience with integration across all cloud applications, and a single price for product, implementation, and support. Have questions? The consultation is always free. Email [email protected] or call us at: +1 (925) 918-6618.