Audit Oquprime - Haruskah Membaca dengan Teliti Hasil dan Keluhan Saya

Kesehatan penglihatan membantu Anda melakukan tugas yang paling sulit sekalipun dan semua orang meremehkannya. Dengan bantuan Oquprime mata Anda akan lebih membumi dibandingkan waktu lainnya, bila diminum secara rutin. Efek didukung oleh tes logis dan laporan klien yang menyatakan kepuasan total dengan hasil. Tes logis yang disebutkan sebelumnya telah menunjukkan bahwa Oquprime mendukung kesehatan otak, membangun penguatan sel tubuh Anda dan membantu Anda mempertahankan penglihatan yang baik dan tahan lama. Dampak Oquprime akan langsung terlihat, dan itu membangun tingkat energi Anda; itulah sebabnya item ini menjadi terkenal di kalangan orang dewasa. Ingatlah bahwa peningkatan Oquprime ini tidak disarankan untuk digunakan pada individu di bawah 18 tahun. Sepanjang sisa artikel ini kami akan berusaha membantu Anda untuk lebih memahami dampaknya pada visi Anda dan mengapa Anda harus membelinya.

https://www.oquprime.com/
https://twitter.com/oquprime
https://www.facebook.com/oquprime
https://id.pinterest.com/oquprime/
https://www.instagram.com/oquprime

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Audit Oquprime - Haruskah Membaca dengan Teliti Hasil dan Keluhan Saya

Kesehatan penglihatan membantu Anda melakukan tugas yang paling sulit sekalipun dan semua orang meremehkannya. Dengan bantuan Oquprime mata Anda akan lebih membumi dibandingkan waktu lainnya, bila diminum secara rutin. Efek didukung oleh tes logis dan laporan klien yang menyatakan kepuasan total dengan hasil. Tes logis yang disebutkan sebelumnya telah menunjukkan bahwa Oquprime mendukung kesehatan otak, membangun penguatan sel tubuh Anda dan membantu Anda mempertahankan penglihatan yang baik dan tahan lama. Dampak Oquprime akan langsung terlihat, dan itu membangun tingkat energi Anda; itulah sebabnya item ini menjadi terkenal di kalangan orang dewasa. Ingatlah bahwa peningkatan Oquprime ini tidak disarankan untuk digunakan pada individu di bawah 18 tahun. Sepanjang sisa artikel ini kami akan berusaha membantu Anda untuk lebih memahami dampaknya pada visi Anda dan mengapa Anda harus membelinya.

https://www.oquprime.com/
https://twitter.com/oquprime
https://www.facebook.com/oquprime
https://id.pinterest.com/oquprime/
https://www.instagram.com/oquprime

Kubernetes Auditing

Getting Kubernetes auditing right is an important part of a secure and scalable enterprise grade Kubernetes setup!

Auditing is an essential administrative input to understand the way a system is affected or being used. An audit trail is a log of the sequence of chronological events that occurred on a system. It helps administrators understand what event occurred, when did it take place and the trigger or the source of the event. It is also a compliance or legal requirement for many businesses and so an important part of IT systems. In this tutorial, we will look at how to do auditing in Kubernetes.

Introduction

A simple example of an audit log in the context of Kubernetes would be read as

An Nginx pod (podname) was scheduled on a node(nodename) by a service account(serviceaccountname). The statement above helps an administrator or a developer understand the intent of the event (a pod being scheduled), the object in question (the Nginx pod), the affecting system, (the node) and, the actor which was the serviceaccount.

An audit trail would be an effective input to help debug issues, fine-tune permissions, understand the way the system is being used and maybe write dynamic webhooks by looking at the audit logs to further tighten what can be done based on the knowledge of these usage patterns. Let us look at the way Kubernetes auditing is enabled and dive deeper at the actors in play here. Working on Kubernetes objects eventually means using the Kubernetes REST API, which is either via kubectl or via the Kubernetes client libraries. Hence, all the auditing is performed by the kubeapiserver by enabling options for auditing.

#security #kubernetes #cloud security #auditing #operation #kubernetes audit

Why Machine Learning an Audit?

Machine Learning (ML) has been a popular topic in the industry that people are starting to think about potentials in different applications such as R&D, marketing, and you see companies hiring PhDs to develop their machine learning models for either sales forecasting, marketing strategizing, or even some cool stuffs like computer vision for autopilot.

How to use machine learning in an audit? What would be the benefit of using it? It that something only for R&D or marketing? Is this possible to deploy machine learning in the audit? Can internal audits potentially be replaced by some sort of robots to help with selecting samples or reviewing the documents and everything? After months of side projects, I realize that Internal Audit/Finance/Compliance might be one of the functions that you don’t find a direct connection with the ML, but it has much more potential than other functions in a corporate.

Here is why:

(1) Data is the key to ML not the algorithm or the models.

In an audit function, no matter you do IT, finance, or compliance review, you eventually get in touch with a bunch of data:

Sales Data/ Payment Data/ HR Data/ System Log/ Whatever you are auditing

And one key to start to loop in the data science capability and use machine learning is data. You are predicting one feature (independent variable) based on other features (dependent variables).

(2) Internal Audit is looking for outliers and could use some help from ML.

Especially in compliance audits, we are looking for outliers, delayed payment? Weirdly-frequent small amount T&E? Last-minute invoicing? We are looking for all kinds of outliers in general and want to know HOW WEIRD those transactions are, compared to the populations. But we don’t usually have time and knowledge to conduct clustering on all the features. Machine Learning helps you in building a model to predict the outliers based on given information and detects outliers for you.

(3) What we do in audit is labeling things and so does ML.

Through reviewing the transactions, internal audit identifies transactions that are non-compliant with the company policy or practice. We are basically tagging transactions. In traditional analytics, we analyze data and come up with a couple of rulesets that “we think” it can detect the outliers.

What if the outliers are hidden in data that we could not define any ruleset to locate them?

traditional analytics use data and rule sets to find out the transactions, while ML uses data and examples to figure out the rule sets.

Using machine learning, we kind of do it in a reverse engineering way: We provide data and examples (probably come from the previous audit where we tagged the non-compliant transactions) and tell the machine to figure out the rulesets itself. ML helps us find a ruleset(s) (can be a regression line, a decision tree, a neural network, or whatever ruleset that helps to label)

#finance #data-analytics #audit #data-science #machine-learning #deep learning

Kubernetes Auditing

Auditing is an essential administrative input to understand the way a system is affected or being used. An audit trail is a log of the sequence of chronological events that occurred on a system. It helps administrators understand what event occurred, when did it take place and the trigger or the source of the event. It is also compliance or legal requirement for many businesses and hence an important part of IT systems. In this tutorial, we will look at how to do auditing in Kubernetes.

#kubernetes #auditing

Understanding Auditing On The AWS Platform

The AWS Management Console, along with the AWS CLI can produce powerful results for auditors across multiple regulatory, standards, and industry authorities. I am going to cover some of the key sources that produce important and meaningful log information that you can use within your audit and compliance program.

You should consider auditing your security configuration in the following situations:

• On a periodic basis. You should perform the steps described in this document at regular intervals as a best practice for security.
• If there are changes in your organization, such as people leaving.
• If you have stopped using one or more individual AWS services. This is important for removing permissions that users in your account no longer need.
• If you’ve added or removed software in your accounts, such as applications on Amazon EC2 instances, AWS OpsWorks stacks, AWS CloudFormation templates, etc.
• If you ever suspect that an unauthorized person might have accessed your account.

The key services that produce meaningful audit event telemetry in most AWS environments include: Amazon S3, Elastic Load Balancer, Amazon CloudWatch, AWS CloudTrail, and Amazon VPC. This is not a definitive list, but should get you started in the right direction. Also, be sure to check out the resource links at the bottom of the article.

#aws #cloud-computing #audit