Author: Dinesh
Reading Time: 3 mins
In the past few months, it seems that any conversation you tune in to – be it related to business, entertainment or technology – connects back to artificial intelligence in some way. It’s the buzzword that’s got everyone talking, and with good reason. The recent advances in natural language processing have made it even easier for laypeople to engage with the tech, and it appears that AI is revolutionizing every field it touches, from web development to digital marketing and even cybersecurity technology.
Here’s a few ways that AI is impacting the world of cybersecurity management.
User behavior tracking
AI-powered IAMs can use user behavior analytics to identify ‘normal’ user behavior patterns, and detect deviations or anomalies. AI algorithms undertake continuous analysis of user activity to identify baseline patterns and trends. On this basis, they can flag unusual activity such as unusual login locations or times. As these anomalies may indicate account compromise or fraud, this advance warning lets companies respond promptly.
Threat detection
Using AI in identity and access management, you can automatically analyze significant volumes of threat intelligence data to identify anomalous behavior or patterns. You can even integrate with threat intelligence feeds for real-time security information and threat detection.
By analyzing data such as user behavior, network traffic and logs, AI-powered systems can learn and understand normal user behavior. They are thus able to detect deviations from this norm. The cybersecurity solution can flag suspicious access, fraudulent activity or account compromise, and AI-powered cybersecurity can be trained to block unauthorized access.
Through machine learning, AI in cybersecurity and AI in network security can identify potential vulnerabilities before they’re exploited. This form of proactive threat detection helps businesses better protect their systems. By analyzing code patterns, behavior and other indicators of compromise, malware detection improves in terms of speed and accuracy.
Intelligent identity and access management
An AI PAM (Privileged Access Management) experience is enhanced by the AI-powered security identity management solution. By monitoring and analyzing privileged user activity, the tool can recommend least privilege principles. This reduces the risk of privilege abuse and insider threats. With contextual information such as user roles, locations and networks, the tool can make more informed decisions pertaining to access control. Dynamic access management helps businesses enforce highly specific access policies. You can adapt access privileges based on circumstance.
Innovative and adaptive authentication management
With AI-powered IAM systems, you can implement more secure and user-friendly authentication methods, such as behavioral, voice-based, or risk-based authentication. Based on user behavior and device information, AI algorithms can assess risk levels in real-time. This way, you can enable adaptive authentication. The level of security and AI authentication needed for the specific usecase and device access varies based on the perceived risk. IAM AI thus balances security and user convenience.
Automated IT support
Through AI-driven IAMs, you can automate user provisioning and de-provisioning processes based on defined policies. By streamlining the identity lifecycle in this way, you reduce the burden on IT administrative staff through AI business process automation. AI is also ‘always on’, and provides automated IT solutions and continuous user activity monitoring. AI monitors access controls and security events, based on which it provides risk assessment and adaptive security measures. This frees up your IT cybersecurity team from such regular monitoring activities, and helps improve organization efficiency.
Looking at streamlining cybersecurity identity management? AI and cybersecurity is a complex but interesting field. Talk to our team of experts to learn more about AI in cybersecurity and IAM systems.
