Traditional pentesting, which entails emulating real-world attacks to uncover vulnerabilities in an organization’s infrastructure and applications, has long been the preferred approach. However, a more proactive and comprehensive solution known as continuous pentesting has emerged as an alternative methodology.
The process of threat hunting is usually built on the foundation of planning, baselining, and testing based on the hypothesis. Besides these, a threat hunter also uses automated tools to boost threat analysis and identify any suspicious patterns and relationships on a large scale.
Data classification typically involves defining categories or levels that represent different degrees of sensitivity or confidentiality. It plays a vital role in ensuring effective data management, security, and regulatory compliance. With the right data classification tools and policies in place, businesses can strengthen their data protection efforts, mitigate risks, and safeguard sensitive data.
Cyber threat hunting is emerging as a new way to proactively detect security threats. But it can be a daunting task, particularly for organizations that lack the necessary expertise and resources. Machine learning (ML) algorithms can help organizations automate and streamline the process of threat hunting, making it more effective and efficient.
Storing tokens instead of PANs is an alternative to reduce the amount of cardholder data in the environment and helps in reducing the merchant’s effort to implement PCI DSS 4.0 requirements. Besides, by eliminating the need to store actual card numbers, tokenization can significantly reduce the risk of data breaches.
Initial Access Brokers (IABs) have emerged as critical players in RaaS operations, helping attackers launch targeted campaigns. Their tactics too have notably changed, shifting from backdoor malware or web shells to using harvested credentials and Multi-Factor Authentication (MFA) for persistence.
With the rising adoption of multi-factor authentication (MFA), MFA attacks too have become increasingly common. Typically, MFA bypass techniques fall into one of two categories: either brute-forcing the two-factor process or using social engineering to trick a targeted user into generating the code.
The rapid proliferation of IoT devices has brought about significant security challenges. To address these challenges, the Open Web Application Security Project has identified the top 10 vulnerabilities based on real-world incidents, to help manufacturers identify flaws and devise suitable mitigation measures.
The 3D Secure protocol with enhanced security comes with a host of benefits for merchants, card issuers and customers alike. Besides improving the legitimacy of the firm and strengthening customer loyalty, the biggest benefit of 3D Secure is its ability to decrease fraud while still being simple to use.
Data classification is the process of categorizing data based on its level of sensitivity, value, and potential impact on an organization if it is lost or stolen. Organizations can use effective data classification to safeguard sensitive information, comply with regulations, and make informed choices based on relevant data.
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