Trend 3: Advanced threat detection capabilities strengthen security measures in identity management

Traditional IAM security controls such as MFA are ineffective against modern identity threats. IAM and infrastructure security controls often have significant detection gaps. Identity threat detection and response (ITDR) is a security principle that encloses threat intelligence, processes, tools, and best practices to protect the identity system.

ITDR brings predefined identity threat-specific actions to cover identity breaches and other identity infrastructure attacks. It integrates with existing enterprise security solutions such as extended detection and response (XDR) and endpoint detection and response (EDR). Organizations with mature IAM should focus on the following aspects to address detection gaps and enhance cyberattack preparedness:

• Perform an audit on the existing IAM infrastructure to address known vulnerabilities in preparation for ITDR.
• Implement controls with emphasis on identity detection that prioritizes identity tactics, techniques, and procedures (TTPs).
• Execute a robust response using tools and processes to eradicate, recover from, and remediate identity threats.

Advanced AI assists and improvises the user behavior detection process by analyzing and profiling patterns and responding to threats. Organizations integrate tools and processes, evaluate existing tools aligned with ITDR architecture, and incrementally deploy zero-trust capabilities to enhance ITDR.

A top German specialty chemical company sought a standardized identity security operation model to proactively detect identity-related threats and vulnerabilities. Infosys helped it establish robust protection control processes using Microsoft tools, including ITDR.