Brief Overview
AI-generated fake content and misinformation may lead to concern in the realm of technology and finance, yet this potent, fundamental technology has the capacity to be advantageous to organizations of all types if utilized effectively.
Within cybersecurity, a key domain where AI is applied is in bolstering and enriching identity management systems. AI-driven identity lifecycle management leads in the sphere of digital identity and is applied to boost security, streamline governance, and enhance the user experience of an identity system.
Advantages of AI-based identity
AI serves as a bridge connecting traditionally conflicting areas in business, merging what used to clash:
- AI improves operational efficiency by diminishing risk and enhancing security
- AI aids enterprises in reaching objectives by ensuring cyber-resilience
- AI facilitates flexible and secure access by guaranteeing regulatory adherence
AI and integrated identity
AI-based identity provides the intelligence necessary to repel breaches and rectify access irregularities affecting our identity infrastructure. A critical driver of AI within an identity lifecycle management framework is the consolidation of identity. AI can be employed across a unified identity platform, synergistically addressing the needs of the business drivers.
AI-based identity application
When deployed correctly, AI technologies possess the capability to reduce access errors and combat the current wave of identity-focused cyber assaults. AI-based identity can harness machine learning models to recognize signs of an attack, like aberrant behaviors, hinting at a potential data leak.
One Identity has leveraged the potential of AI models to enhance and empower various aspects of identity security:
Risk identification for identity governance and administration (IGA)
AI-driven identity governance and administration (IGA) offers a strategy to detect unusual behavior and detect indicators of data exposure and breach events. One Identity Safeguard employs an AI algorithm called “Random Forests,” which consolidates outcomes from multiple decision trees to provide insights. Safeguard scrutinizes data from events such as mouse movements, keystroke patterns, login times, and command analytics to pinpoint behavioral anomalies and automate responses. Human operators then engage with a dashboard to interpret and act on the AI-driven output, enabling organizations to effectively reduce the cybersecurity expertise barrier.
Authorization control
Data from authentication events within access management can be utilized to signal a cyber attack or credential compromise. Information from the access event (e.g., identity, location, device, etc.) is aggregated upon login. An authorization choice is made, and security requirements may demand step-up authentication as opposed to denying entry.
However, AI elevates this basic model. One Identity OneLogin employs Vigilance AI™ Threat Engine15 to analyze extensive data sets for threat detection. By utilizing User and Entity Behavior Analytics (UEBA), a standard user behavior profile is established as a reference point. This is then utilized to pinpoint deviations and mitigate risks.
OneLogin can feed access request data, along with the resultant analytical insights, in the form of comprehensive system logs into SIEM and SOC frameworks.
Permission handling
Role-based access is a foundational aspect of identity protection. Yet manually managing these roles can present a challenge. Machine learning has been integrated into identity “role mining” or “role discovery” for some time, but a fresh approach from One Identity delivers role mining insights directly to the relevant personnel for efficient entitlement management.
For instance, AI can optimize team role policies continuously, transforming entitlement management into a perpetual, automated task that furnishes precise insights into access needs across the organization.
Summation
Identity management systems must adapt to the rising wave of sophisticated identity-related risks. The remedy lies in system reinforcement through AI, where authoritative, top-notch identity data feeds the AI models employed to boost identity lifecycle management. This enhancement capability is critical in formulating and delivering entitle management and IGA for a robust security posture and cyber resilience. With the integration of identity-related services simplifying identity management and making it more efficient, the integration of AI into a unified identity platform equips an organization with the strength to withstand even the most intricate identity-linked threats.
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