Identity-based attacks are cyber threats that use a person’s or organization’s identity to obtain sensitive data without authorization. These attacks often target corporate or personal data, resulting in data breaches and large financial losses.
Identity-based attacks typically use tactics like credential stuffing (A cyberattack known as “credential stuffing” takes place when attackers try to gain access to an unrelated system using login credentials they have stolen from another), social engineering, phishing. These techniques are used by attackers to coerce victims into disclosing personal information so that they can be impersonated.
Identity theft has become more complex and targeted as a result of the use of AI. AI’s ability to evaluate and learn from enormous volumes of data enables cybercriminals to develop more potent tactics, making it more difficult for people and organizations to defend themselves.
For user accounts and systems, multi-factor authentication (MFA) provides an extra layer of security.When MFA is enabled, users are required to log in using two or more verification methods.
Machine learning and artificial intelligence can be used to identify compromised accounts and detect unauthorized login attempts. and a password.
