Discover the essentials of endpoint monitoring, including how it differs from antivirus software, benefits, and insights into future trends and next-gen capabilities.
Understanding the threats we face is crucial to protecting against them. Industry research and reports are invaluable to this understanding, providing insights to inform mitigation efforts. Few cybersecurity reports are as valuable or comprehensive as the annual ENISA Threat Landscape Report (ETL).
Threat hunting is the discovery of malicious artifacts, activity or detection methods not accounted for in passive monitoring capabilities. Essentially, threat hunting is the process of identifying unknown threats that otherwise would be hiding in your network and on your endpoints, lying in wait to further expand access and/or steal sensitive data.
As the official implementation date approaches for the Digital Operational Resilience Act (DORA) – financial institutions and their information and communication technology (ICT) service providers, across the European Union are gearing up for a significant shift in their operational landscape.
As organizations race to adopt generative AI (GenAI) to drive efficiency and innovation, they face a new and urgent security challenge. While AI-driven tools and large language models (LLMs) open vast opportunities, they also introduce unique vulnerabilities that adversaries are quick to exploit. From data exposure to supply-chain risks, the potential for threats to AI systems is growing just as fast as the technology itself.
Are you caught in a Yarn versus NPM debate? It is not only because of personal choice – the selection can alter the course of your development. Yarn and NPM are the most common tools for managing virtual dependencies in the JavaScript ecosystem. However, it is important to point out that each has its own set of strengths and trade-offs.
Artificial intelligence is now being used in many sectors and can have very positive effects. Routine jobs that people no longer want to deal with are given to artificial intelligence and completed efficiently. One of these sectors can be the cyber security sector. Many companies need to ensure their cyber security, including law firms, and artificial intelligence can help companies in this regard.
Risk-based vulnerability management (RBVM) is an approach that focuses on prioritizing vulnerability remediation based on risk. RBVM prioritizes remediating vulnerabilities that pose the greatest risk to an organization. While some organizations depend solely on independent scoring methodologies like CVSS or EPSS, effective RBVM takes into consideration the business criticality of assets and ties in threat intelligence to make prioritization decisions.
A social engineering attack is a form of cybersecurity attack where attackers approach individuals and psychologically manipulate them into divulging sensitive information or performing actions that compromise security. Unlike traditional hacking methods that exploit system vulnerabilities, social engineering preys on human psychology, using the likes of deceit, urgency or trust to bypass defenses.
When we carry out an assessment of an organization’s attack surface, it’s often SSL (Secure Sockets Layer) misconfigurations (and other encryption-related issues) that get the worst average scores. Research has estimated that 95% of applications have some kind of misconfiguration or vulnerability. These issues are often overlooked, but they shouldn’t be – their visibility to attackers make them an attack route that’s likely to be exploited.