Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Depending on the size of your organization, its needs, industry regulations and security risks, how often you review privileged access can vary. However, a best practice for most organizations is to review privileged access quarterly to maintain a strong security posture. Continue reading to learn more about the importance of reviewing privileged access regularly, best practices and how KeeperPAM streamlines privileged access reviews.

Security leaders in the life sciences and health technology fields know how important it is to safeguard sensitive data like protected health information (PHI), personally identifiable information (PII), and confidential research data. They also know what’s at stake with a security breach or data exfiltration event. But what’s not always clear is how to find the right solution to keep all that data safe.

According to Salt Security's 2024 State of API Security Report, 80% of API attacks attempt to exploit one or more OWASP API Security Top 10 vulnerabilities. Yet, only 58% of organizations prioritize protection against these well-known threats. This gap leaves many businesses exposed to cyber risks that could have been prevented. Investing in API testing tools helps safeguard your mobile application ecosystem against evolving threats.

Securing a Higher Education Campus remains a significant challenge. There is a direct conflict between the open collaborative nature of our advanced institutes of learning and the perennial need to lock down all sources and targets of cyber threats. For example, in an EDUCAUSE survey, it identified cybersecurity as the number one IT issue for universities in 2024, reflecting the immense pressure on security teams.

On March 11, 2025, a supply chain attack targeting the widely used GitHub Action reviewdog/action-setup@v1, leading to the exposure of sensitive CI/CD secrets across multiple repositories. The attack was identified by Wiz Research, which determined that this compromise played a pivotal role in the tj-actions/changed-files incident (Wiz, 2025).

On Monday, March 24, 2025, a set of critical vulnerabilities affecting the admission controller component of the Ingress NGINX Controller for Kubernetes was announced. In total, five vulnerabilities were announced; the most severe vulnerability, CVE-2025-1974 (CVS 9.8), may result in remote code execution (RCE). Exploitation of this vulnerability can be detected with Sysdig Secure or the Falco rule provided in this article.

On March 24, 2025, Wiz Research disclosed a series of critical vulnerabilities in Ingress NGINX Controller for Kubernetes, collectively dubbed: These unauthenticated Remote Code Execution (RCE) vulnerabilities have been assigned a CVSS base score of 9.8. According to Wiz Research, exploitation allows attackers to gain unauthorized access to all secrets across all namespaces in affected Kubernetes clusters, potentially leading to complete cluster takeover.

The internet can be divided into three primary layers, each with its specific traits and ranges of accessibility as Surface, Deep and Dark web.Each layer serves a purpose in the structure of the internet; the former is easily accessible to users; the intermediate phase houses a large amount of Information and the latter is a space for both illegal and legitimate anonymous activities. When Privacy Information is leaked such as medical records, it completely ruins someone's reputation and personal life.

Assume starting your weekday with a cup of coffee and being prepared to take on the tasks of the day. Suddenly you notice something unusual as the machine starts. The previously accessed files disappear, and the screen flickers. A red notice appears stating the files have been encrypted and the data would be permanently deleted unless a total of ten million dollars in Bitcoin is paid within 48 hours.

Data poisoning is a sophisticated adversarial attack designed to manipulate the information used in training artificial intelligence (AI) models. By injecting deceptive or corrupt data, attackers can hurt model performance, introduce biases, or even create security vulnerabilities. As AI models increasingly power critical applications in cybersecurity, healthcare, finance, and many other industries, maintaining the integrity of their training data is absolutely critical.