The application layer continues to be the most attacked and hardest to defend in the enterprise software stack. With the proliferation of tools aimed at preventing an attack, it’s no wonder the application security testing market is valued at US 4.48 billion. Forrester’s market taxonomy breaks up the application security testing tools market into two main categories: security scanning tools and runtime protection tools.

Payment fraud is exploding. So are false positives, customer friction and investigation costs. Unfortunately, as customers continue to pull us down the river of rapid digital transformation, traditional fraud detection systems are being left in the sand.

Are you taking data from an API in the format the web services gives it to you? You should not dictate the structure of data inside your application based on how an API provider structures their data. Instead, you can take advantage of the power of Python's list manipulation techniques to sort, filter, and reorganize data in ways that best suit your needs.

As many organizations have migrated their infrastructure, applications, and data to cloud offerings, adversaries have extended their operational capabilities in cloud environments to achieve their mission — whether that means stealing intellectual property, disrupting business operations, or holding an organization’s data for ransom.

Manipulating data is a core skill for any developer. In an API-driven environment, so much of the data you receive is formatted in a way that doesn't directly match the way that your application or UI needs it. Each web service and third-party API is different. This is where the ability to sort, normalize, filter, and manipulate the shape of data comes in. In this article, we'll explore some common ways to work with data in Javascript.

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.

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.

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.

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.

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.

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.

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.