Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Monitoring

The Secret to Reducing False Positives: You will only be as good (and fast) as your data

As efforts increase to protect customers from card-present and card-not-present fraud, there is an increasing risk lurking for banks and retailers: false positives. According to KPMG’s 2019 global fraud survey, 51% of respondents reported a significant number of false positives resulting from current technology solutions and decreasing efficiencies in fraud detection.

SCM: Understanding Its Place in Your Organization's Digital Security Strategy

Digital attackers can compromise a system in a matter of minutes. But it generally takes organizations much longer to figure out that anything has happened. In its 2020 Data Breach Investigations Report (DBIR), for instance, Verizon Enterprise found that more than half of large organizations took days or even months to detect a security incident. Such dwell time gave attackers all they needed to move throughout an infected network and exfiltrate sensitive data.

Introducing Datadog Compliance Monitoring

Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, asset misconfigurations were the leading cause of cloud security breaches in 2019. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.

4 Steps to Ensuring Efficient Cybersecurity Monitoring in US Educational Institutions

Education is a strictly regulated industry in which robust cybersecurity protection is a must. Data breaches can cost a fortune for schools and universities, since the loss of students’ personal information and other critical data brings reputational damage alongside fines for regulatory non-compliance. In the US in 2019 there were 348 publicly disclosed K-12 school-related cybersecurity incidents — triple the number in 2018.

Identify API Incidents with Built-in Anomaly Rules

One of Bearer's super powers is anomaly detection. Anomalies are unexpected issues that happen when making an API call. These could be high error rates, unexpected response codes, latency spikes, and more. By monitoring APIs with anomaly detection, we can identify problems with an API or within your application. Anomaly detection makes debugging easier and can help you identify API performance issues that affect your end users.

Performing Zabbix Alert Correlation and Incident Acceleration with CloudFabrix AIOps

CloudFabrix AIOps 360 solution can ingest alerts, events, metrics and from various monitoring tools to perform event correlation, alert noise reduction and enable incident resolution acceleration. Learn more about CloudFabrix AIOps 360 In this blog I will cover Zabbix integration aspects with our AIOps 360 solution. Zabbix is one of the popular open source monitoring platforms used by many enterprises and MSPs, including some of our customers.

Using Bearer with Serverless Functions

Did you know that you can use Bearer with serverless functions? While serverless, or cloud functions, might not be your first choice for making API calls they can be a great way to proxy API requests or even act as a lightweight API gateway. They also offer a great way to bring some of the benefits of Bearer into the Jamstack. The set up process is similar to installing the Bearer Agent into a traditional app, but there are a few things to watch out for.

Suspicious Activity Monitoring: Reducing the strain of false positives in real-time

The COVID-19 Pandemic has enabled contactless payment volumes to increase quicker than previously projected. According to Juniper research, contactless payments will triple to $6 trillion worldwide by 2024, up from about $2 trillion in 2020, as the amount of mobile wallet transactions increase and banks expand the use of contactless cards.