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How to Achieve the Best Risk-Based Alerting (Bye-Bye SIEM)

How to Achieve the Best Risk-Based Alerting (Bye-Bye SIEM)

Feb 19, 2024 Network Detection and Response
Did you know that Network Detection and Response (NDR) has become the most effective technology to detect cyber threats? In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false alerts and efficient threat response. Are you aware of  Network Detection and Response (NDR)  and how it's become the most effective technology to detect cyber threats?  NDR massively upgrades your security through risk-based alerting, prioritizing alerts based on the potential risk to your organization's systems and data. How? Well, NDR's real-time analysis, machine learning, and threat intelligence provide immediate detection, reducing alert fatigue and enabling better decision-making. In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false positives and efficient threat response. Why Use Risk-Based Alerting? Risk-based alerting is an approach where security alerts and responses are prioritized based on the level of risk they pose to an organization's system
The Vulnerability of Zero Trust: Lessons from the Storm 0558 Hack

The Vulnerability of Zero Trust: Lessons from the Storm 0558 Hack

Aug 18, 2023 Network Detection and Response
While IT security managers in companies and public administrations rely on the concept of Zero Trust, APTS (Advanced Persistent Threats) are putting its practical effectiveness to the test. Analysts, on the other hand, understand that Zero Trust can only be achieved with comprehensive insight into one's own network.  Just recently, an attack believed to be perpetrated by the Chinese hacker group  Storm-0558  targeted several government agencies. They used fake digital authentication tokens to access webmail accounts running on Microsoft's Outlook service. In this incident, the attackers stole a signing key from Microsoft, enabling them to issue functional access tokens for Outlook Web Access (OWA) and Outlook.com and to download emails and attachments. Due to a plausibility check error, the digital signature, which was only intended for private customer accounts (MSA), also worked in the Azure Active Directory for business customers.  Embracing the Zero Trust Revolution Acc
SaaS Compliance through the NIST Cybersecurity Framework

SaaS Compliance through the NIST Cybersecurity Framework

Feb 20, 2024Cybersecurity Framework / SaaS Security
The US National Institute of Standards and Technology (NIST) cybersecurity framework is one of the world's most important guidelines for securing networks. It can be applied to any number of applications, including SaaS.  One of the challenges facing those tasked with securing SaaS applications is the different settings found in each application. It makes it difficult to develop a configuration policy that will apply to an HR app that manages employees, a marketing app that manages content, and an R&D app that manages software versions, all while aligning with NIST compliance standards.  However, there are several settings that can be applied to nearly every app in the SaaS stack. In this article, we'll explore some universal configurations, explain why they are important, and guide you in setting them in a way that improves your SaaS apps' security posture.  Start with Admins Role-based access control (RBAC) is a key to NIST adherence and should be applied to every SaaS a
Unveiling the Unseen: Identifying Data Exfiltration with Machine Learning

Unveiling the Unseen: Identifying Data Exfiltration with Machine Learning

Jun 22, 2023 Network Security / Machine Learning
Why Data Exfiltration Detection is Paramount? The world is witnessing an exponential rise in ransomware and data theft employed to extort companies. At the same time, the industry faces numerous critical vulnerabilities in database software and company websites. This evolution paints a dire picture of data exposure and exfiltration that every security leader and team is grappling with. This article highlights this challenge and expounds on the benefits that Machine Learning algorithms and Network Detection & Response (NDR) approaches bring to the table. Data exfiltration often serves as the final act of a cyberattack, making it the last window of opportunity to detect the breach before the data is made public or is used for other sinister activities, such as espionage. However, data leakage isn't only an aftermath of cyberattacks, it can also be a consequence of human error. While prevention of data exfiltration through security controls is ideal, the escalating complexity a
cyber security

Are You Vulnerable to Third-Party Breaches Through Interconnected SaaS Apps?

websiteWing SecuritySaaS Security / Risk Management
Protect against cascading risks by identifying and mitigating app2app and third-party SaaS vulnerabilities.
Why Organisations Need Both EDR and NDR for Complete Network Protection

Why Organisations Need Both EDR and NDR for Complete Network Protection

Sep 30, 2022
Endpoint devices like desktops, laptops, and mobile phones enable users to connect to enterprise networks and use their resources for their day-to-day work. However, they also expand the attack surface and make the organisation vulnerable to malicious cyberattacks and data breaches. Why Modern Organisations Need EDR According to the 2020 global  risk report  by Ponemon Institute, smartphones, laptops, mobile devices, and desktops are some of the most vulnerable entry points that allow threat actors to compromise enterprise networks. Security teams must assess and address the security risks created by these devices before they can damage the organisation. And for this, they require Endpoint Detection & Response (EDR). EDR solutions provide real-time visibility into endpoints and detect threats like malware and ransomware. By continuously monitoring endpoints, they enable security teams to uncover malicious activities, investigate threats, and initiate appropriate responses to pr
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