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Prevent identity fraud and the need for digital identity verification

Digital fraud related to Covid-19 was at 31% last year, with phishing being the most widely reported crime at 28%. This is only one little patch in a massive cyber breach campaign that has been robbing businesses and exploiting their digital vulnerabilities. Businesses should consider whether or not they are familiar with their customers. Because there is no actual presence in the digital realm and you can't check if it's the same person, it's easy to flash bogus identities. Fintech firms should use greater caution when opening new accounts and conducting transactions using digital interfaces.

Another big concern that needs to be addressed is credential stuffing assaults. Credential stuffing or account takeover attacks have been on the upswing since the outbreak, according to several publications. Unauthorized access to user accounts is possible as a result of these attacks, which could lead to data breaches and ransomware attacks. Credential stuffing attacks use automated tools and botnets to get user authentication across numerous platforms. Yes, AI may be both a blessing and a scourge. Hackers that use artificial intelligence to carry out sophisticated cyber-attacks are nothing new. To achieve the intended outcome, attackers can modify AI algorithms and data sets. AI can be used to gain access to data, uncover weaknesses, and improve the technical aspects of traditional attack techniques. Cyber criminals can use AI to hide their identities and persuade authorities to hand over crucial information.

As enterprises face increasing levels of attacks targeting their ever-changing ecosystem of employees, partners, and consumers, strong identity authentication is more vital than ever. An intelligence-driven approach to identity protection disrupts attackers before they can cause harm and empowers teams to prevent identity fraud before it happens. To combat escalating cyberattacks, businesses should use a variety of approaches for enhanced identity verification and security.

To combat financial fraud, businesses might create minimal Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations. More data privacy rules, such as California's Privacy Rights and Enforcement Act 2020, are needed to secure data and combat hackers. AI and machine learning should be used by businesses to continuously monitor networks and systems in order to detect and prevent risks in real time, multi-factor authentication and sophisticated biometrics can make data more difficult for, recorded Future Identity Intelligence includes suggestion like:

· Automated risk checks for critical events

· Detection of identity compromises

· Real-time context for threat triage and mitigation

· Unmatched visibility into closed and dark web sources

· Supercharged identity fraud detection workflows

Verifying user identities and restricting access to sensitive data is vital, but tough, as threat actors become more sophisticated. Recorded Future's Identity Intelligence module's intelligence-led approach to account takeover prevention eliminates the need to manually aggregate, correlate, and triage identity information, allowing analysts to significantly reduce the time it takes to detect, prioritise, and respond to real business risks. Many enterprises are embracing digital identity verification strategies to ensure maximum security from soaring cybercrimes and data breaches. The remote working phase is going to last for some time and digitally empowering your organization is the only way to defeat digitally empowered cyber attackers. To know more about how to approach present and future cyber problems, also, to get your free cybersecurity assessment visit us at

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