Azure Forensics & Incident Response
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This document describes Azure Forensics & Incident Response which allows users to preserve intrusion evidence without impacting production systems through easy data collection from cloud, containers, and on-premises systems. It uses a patent-pending cloud-based architecture to provide quick automated data processing that is fast, efficient, and effective. This gives users complete visibility and context through seamless investigation of host, log, and memory data sources to identify the root cause using another patent-pending analytics engine.
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Develop a clear incident response plan: Having a clear, documented incident response plan in place will help you respond to incidents quickly and effectively. This should include procedures for identifying and responding to incidents, as well as guidelines for preserving evidence and conducting investigations.
Use AWS services and tools: AWS offers a number of tools and services that can be used for forensic investigations. For example, Amazon CloudWatch can be used to monitor resource usage and log activity, while Amazon S3 can be used to store and access forensic evidence.
Understand your organization's cloud architecture: It's important to have a good understanding of your organization's cloud architecture and the tools that are in use. This will help you identify and preserve evidence, and will also make it easier to track down the root cause of an incident.
Follow best practices for evidence preservation: In order to preserve evidence for forensic investigations, it's important to follow best practices such as creating forensic images of relevant devices and using write-blockers to prevent tampering.
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Similar to Azure Forensics & Incident Response
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Another challenge is that cloud environments can be highly dynamic, with resources being created and destroyed on a regular basis. This can make it difficult to track down and preserve evidence, especially if you don't have a solid understanding of your organization's cloud architecture and the tools that are in use.
So, what can you do to prepare for forensic investigations in AWS? Here are a few best practices to keep in mind:
Develop a clear incident response plan: Having a clear, documented incident response plan in place will help you respond to incidents quickly and effectively. This should include procedures for identifying and responding to incidents, as well as guidelines for preserving evidence and conducting investigations.
Use AWS services and tools: AWS offers a number of tools and services that can be used for forensic investigations. For example, Amazon CloudWatch can be used to monitor resource usage and log activity, while Amazon S3 can be used to store and access forensic evidence.
Understand your organization's cloud architecture: It's important to have a good understanding of your organization's cloud architecture and the tools that are in use. This will help you identify and preserve evidence, and will also make it easier to track down the root cause of an incident.
Follow best practices for evidence preservation: In order to preserve evidence for forensic investigations, it's important to follow best practices such as creating forensic images of relevant devices and using write-blockers to prevent tampering.
Guard Duty Findings in EKS & EC2
Amazon GuardDuty is a security service that continuously monitors your AWS accounts and workloads to identify unexpected and potentially malicious activity. It uses a combination of machine learning, threat intelligence feeds, and integrated AWS security features to identify threats, and provides you with recommendations for how to remediate them.
In this blog, we'll take a look at some of the common findings that GuardDuty can identify in Amazon Elastic Container Service for Kubernetes (EKS) and Amazon Elastic Compute Cloud (EC2) environments.
One common finding in EKS environments is unauthorized resource access. This occurs when an entity (such as an IAM user or an EC2 instance) accesses resources that it does not have permission to access. This could be the result of a misconfigured IAM policy or an accidental leak of AWS credentials. GuardDuty can alert you to this type of activity so that you can take action to secure your resources.
Another common finding in EKS environments is network communication with known malicious IPs. This occurs when an EKS cluster or an EC2 instance in your environment communicates with an IP address that is known to be associated with malicious activity. This could be the result of an infected EC2 instance or an EKS cluster that has been compromised by a malicious actor. GuardDuty can alert you to this type of activity so that you can take steps to secure your environment.
In EC2 environments, a common finding is unusual resource creation. This occurs when an entity creates resources in your environment at an unusual rate or in an unusual way. This could be the result of a compromised IAM user or an EC2 instance that has been compromised by a malicious actor. GuardDuty can alert you to this type of activity so that you can take steps to secure your environment.
Mechsoft products services
Vircom ModusCloud provides a complete email security solution including advanced threat protection, DLP, encryption, archiving, and more. It comes in four packages starting at $2 per user per month and is powered by Proofpoint. The solution protects Office 365 mailboxes and can stop business email compromise, spoofing, and malware.
How To Build A Stable And Robust Base For a “Cloud”
CloudConnect 云计算大会 China 2016
How To Build A Stable And Robust Base For a “Cloud”
Doctor Cheng Liang
Pengyun Network Technology
How to migrate workloads to the google cloud platform
IT Organizations of all sizes are moving their workloads to the public cloud in order to gain business agility, unlimited workload scalability, and free their time to work on the projects that matter. One of the leaders in public cloud is the Google Cloud Platform (GCP)
Get Started with Cloudera’s Cyber Solution
Cloudera empowers cybersecurity innovators to proactively secure the enterprise by accelerating threat detection, investigation, and response through machine learning and complete enterprise visibility. Cloudera’s cybersecurity solution, based on Apache Spot, enables anomaly detection, behavior analytics, and comprehensive access across all enterprise data using an open, scalable platform. But what’s the easiest way to get started?
Join Cloudera, StreamSets, and Arcadia Data as we show you first hand how we have made it easier to get your first use case up and running. During this session you will learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
3 things to learn:
Signs you need Cloudera’s cybersecurity solution
How StreamSets can help increase enterprise visibility
Providing your security analyst the right context at the right time with modern visualizations
Building a Just-in-Time Application Stack for Analysts
Slide presentation from Webinar on February 17, 2016.
People in analytical roles are demanding more and more compute and storage to get their jobs done. Instead of building out infrastructure for a few employees or a department, systems engineers and IT managers can find value in creating a compute stack in the cloud to meet the fluctuating demand of their clients.
In this 45-minute webinar, you’ll learn:
- How to identify the right analytical workloads
- How to create a scalable compute environment using the cloud for analysts in under 10 minutes
- How to best manage costs associated with the cloud compute stack
- How to create dedicated client stacks with their own scratch space as well as general access to reference data
Health systems departments, research & development departments, and business analyst groups all face silos of these challenging, compute-intensive use cases. By learning how to quickly build this flexible workflow that can be scaled up and down (or off) instantly, you can support business objectives while efficiently managing costs.
Digital Forensics and Incident Response in The Cloud
TUTORIAL: Digital Forensics and Incident Response in the Cloud
Cloud technologies have made it easier for organizations to adapt rapidly to changing IT needs. Teams may acquire (and destroy) new computing resources at a press of a button providing for very flexible deployment environment. While this capability is generally useful, it does come at the cost of increasing management overheads and particularly degraded security posture. Traditionally, IT managers have provided visibility into organizational inventories and could use this information to enforce org wide standard operating environments (SOEs), institute patching regimes etc. However, with the advent of cloud computing, every team can create new VMs and containers on a whim for both production and development use, typically consisting of the cloud service provider's SOE offering.
In this tutorial we explore open source tools available for managing cloud deployments. In particular we look at the endpoint monitoring solutions provided by Google's Rekall Agent and Facebook's OSQuery and how these can be integrated into typical cloud deployments. Delegates should be able to walk away from this tutorial being able to install and manage a cloud deployment of Rekall Agent and OSQuery on their VM endpoints.
These solutions allow the administrators to gain insight into their enterprise wide deployment. For example, one could ask questions such as:
What is the current patch level of all my cloud VM's and containers for each software package? Which VM's are in need of patching? Which VMs have been created recently, and do they comply with minimum security hardening standards?
Who has remote access to my VM's? E.g. via ssh authorized_keys? Via cloud IAM's security policy?
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
Serverless security for multi cloud workloads
This document discusses serverless security for multi-cloud environments. It provides an overview of serverless computing and cloud security models. It also describes security services available on AWS, GCP and Azure clouds and discusses how to harden functions as a service (FaaS) by disabling outbound internet access, restricting access to temporary directories and disabling child process execution. Specific exploits like accessing function handlers and manipulating temporary files are demonstrated. The talk recommends provisioning FaaS within private networks and using techniques like monkey patching to dynamically update code behavior and enhance security.
Leveraging the Cloud for Big Data Analytics 12.11.18
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
IT Resilience Use Case
Sutedjo Tjahjadi's presentation during Moving Disaster Recovery to IT Resilinece seminar on 31 January 2019
NVS_Sentinel
Using Azure Sentinel to catch the bad guys covers how to use Azure Sentinel and other Microsoft security tools to detect threats. The document discusses the growing ransomware threat landscape, example attack methods like credential dumping and lateral movement, and important log sources in Azure like Azure Active Directory logs, Azure Network logs, and Windows event logs. It also covers setting up Azure Sentinel with data connectors, creating analytics rules and queries, and automating response with Logic Apps playbooks. Examples of hunting queries and using external threat intelligence are provided.
NetBackup Story Customer Presentation.pptx
Veritas NetBackup is a data protection solution that provides comprehensive protection for any cloud, workload, or deployment model through cloud-optimized architecture. It offers automated operations through event-driven automation and elastic resource utilization to reduce costs. NetBackup also provides cyber resilience through features like active cyber defenses, zero-ransom recovery, and protection against any recovery point/time objectives (RPOs/RTOs).
Vaultize Cloud Architecture - Enterprise File Sync and Share (EFSS)
Enterprises are facing enormous security, data loss and compliance risks with increased mobility of workforce and proliferation of consumer file sharing services together with mobile devices in the enterprise network.
Vaultize is an enterprise-grade platform for secure file sharing, anywhere access, mobile collaboration, endpoint backup and mobility - together with mobile content maanagement (MCM), endpoint encryption, remote wiping and Google Apps backup - that helps enterprises mitigate these risks with complete enterprise control and visibility on the use of unstructured data. It is the only solution that does military-grade (AES 256bit) encryption together with de-duplication at source (patent pending) – making it the most secure and efficient solution in the world. Vaultize comes with highest level of enterprise-grade security, scalability, performance, robustness and reliability.
Vaultize is the first EFSS vendor to fully integrate EMM into a single offering – giving enterprises complete control and visibility over the sensitive corporate data, irrespective of the device used for accessing and sharing – facilitating increased adoption of Bring-Your-Own-Device (BYOD) even in highly regulated and security-conscious verticals. Vaultize now includes Mobile Device Management (MDM) features such as remote wipe, data containerization, storage and network encryption, PIN protection and white-listing of apps for mitigation of security and protection concerns with BYOD. Vaultize goes beyond MDM with features like automatic wiping based on geo-location or IP address or time-out. It further facilitates Mobile Content Management (MCM) through access rights and allows corporate IT to prevent data loss, security and compliance breaches by controlling what users can do with corporate data on their mobile devices using natively built-in document editor.
OSDC 2016 - Hybrid Cloud - A Cloud Migration Strategy
Do you use Cloud? Why? What about the 15 year legacy of your data center? How many Enterprise vendors tried to sell you their "Hybrid Cloud" solution? What actually is a Hybrid Cloud?
Cloud computing is not just a new way of running servers or Docker containers. The interesting part of any Cloud offering are managed services that provide solutions to difficult problems. Prime examples are messaging (SNS/SQS), distributed storage (S3), managed databases (RDS) and especially turn-key solutions like managed Hadoop (EMR).
Hybrid Cloud is usually understood as a way to unify or standardize server hosting across private data centers and Public Cloud vendors. Some Hybrid Cloud solutions even go as far as providing a unified API that abstracts away all the differences between different platforms. Unfortunately that approach focuses on the lowest common denominator and effectively prevents using the advanced services that each Cloud vendor also offers. However, these services are the true value of Public Cloud vendors.
Another approach to integrating Public Cloud and private data centers is using services from both worlds depending on the problems to solve. Don't hide the cloud technologies but make it simple to use them - both from within the data center and the cloud instances. Create a bridge between the old world of the data center and the new world of the Public Cloud. A good bridge will motivate your developers to move the company to the cloud.
Based upon recent developments at ImmobilienScout24, this talk tries to suggest a sustainable Cloud migration strategy from private data centers through a Hybrid Cloud into the AWS Cloud.
Bridging the security model of the data center with the security model of AWS.
Integrating the AWS identity management (IAM) with the existing servers in the data center.
Secure communication between services running in the data center and in AWS.
Deploying data center servers and Cloud resources together.
Service discovery for services running both in the data center and AWS.
Most of the tools used are Open Source and this talk will show how they come together to support this strategy:
AWS credential provider for employees and data center servers: http://immobilienscout24.github.io/afp/
Cloud Formation automation: https://github.com/ImmobilienScout24/cfn-sphere
Compliancy with European privacy laws: https://github.com/ImmobilienScout24/aws-monocyte
How Globe Telecom does Primary Backups via StorReduce to the AWS Cloud
Globe Telecom, a large telecommunications company in the Philippines with over 65 million subscribers, needed a cost-effective and scalable solution for storing primary data backups. Its previous on-premises data domain appliances created expensive hardware silos and a risk of data loss in the event of an ill-timed backup system outage, a vulnerability the company couldn’t afford. StorReduce’s scalable deduplication software solved Globe Telecom’s problem with throughputs and recovery speeds faster than leading backup appliances, enabling them to transfer primary and secondary backup data from backup appliances and tape to the Amazon Cloud. This resulted in a data storage savings of up to 80% and ensured best-of-breed scalability, durability, and recoverability for its data.
(ENT211) Migrating the US Government to the Cloud | AWS re:Invent 2014
This document discusses a platform called EzBake that was created to help a US government customer modernize their systems and better analyze large amounts of data. EzBake provides tools to easily develop and deploy applications, integrate and analyze data from various sources, and implement security controls. It improved the customer's ability to share data and applications across many teams and networks, decreased development times from 6-8 months to 3-4 weeks, and reduced costs while increasing capabilities.
Microsoft Azure Cloud Services
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
OSDC 2016 - Hybrid Cloud - A Cloud Migration Strategy by Schlomo Schapiro
Do you use Cloud? Why? What about the 15 year legacy of your data center? How many Enterprise vendors tried to sell you their "Hybrid Cloud" solution? What actually is a Hybrid Cloud?
Cloud computing is not just a new way of running servers or Docker containers. The interesting part of any Cloud offering are managed services that provide solutions to difficult problems. Prime examples are messaging (SNS/SQS), distributed storage (S3), managed databases (RDS) and especially turn-key solutions like managed Hadoop (EMR).
Hybrid Cloud is usually understood as a way to unify or standardize server hosting across private data centers and Public Cloud vendors. Some Hybrid Cloud solutions even go as far as providing a unified API that abstracts away all the differences between different platforms. Unfortunately that approach focuses on the lowest common denominator and effectively prevents using the advanced services that each Cloud vendor also offers. However, these services are the true value of Public Cloud vendors.
Another approach to integrating Public Cloud and private data centers is using services from both worlds depending on the problems to solve. Don't hide the cloud technologies but make it simple to use them - both from within the data center and the cloud instances. Create a bridge between the old world of the data center and the new world of the Public Cloud. A good bridge will motivate your developers to move the company to the cloud.
Based upon recent developments at ImmobilienScout24, this talk tries to suggest a sustainable Cloud migration strategy from private data centers through a Hybrid Cloud into the AWS Cloud.
Bridging the security model of the data center with the security model of AWS.
Integrating the AWS identity management (IAM) with the existing servers in the data center.
Secure communication between services running in the data center and in AWS.
Deploying data center servers and Cloud resources together.
Service discovery for services running both in the data center and AWS.
Most of the tools used are Open Source and this talk will show how they come together to support this strategy:
AWS credential provider for employees and data center servers: http://immobilienscout24.github.io/afp/
Cloud Formation automation: https://github.com/ImmobilienScout24/cfn-sphere
Compliancy with European privacy laws: https://github.com/ImmobilienScout24/aws-monocyte
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More from Christopher Doman
Five Reasons Why You Need Cloud Investigation & Response Automation
With more than 60% of corporate data currently stored in the cloud, cloud computing has influenced a true renaissance in how we manage and deliver applications and services. The appeal of migrating to the cloud is clear – greater speed, agility, flexibility, cost savings, and more. However, digital transformation also poses new security challenges -- especially when it comes to forensics and incident response.
This white paper covers five reasons why you need Cloud Investigation and Response Automation to ensure your organization is equipped to efficiently understand and respond to cloud threats.
Developers are there, attackers are there, you need to be there too!
Cloud experts are hard to find
Risk escalates at cloud speed
Multi-cloud is on the rise
Ephemeral means data
disappears in the blink of an eye
Azure Incident Response Cheat Sheet.pdf
This document provides an overview of tools and best practices for incident response in an Azure environment. It summarizes key Azure Active Directory commands for identifying and deactivating compromised user accounts. It also outlines how to identify legacy authentication methods, applications using AD authentication, and snapshots that can be used for forensics. Additional sections cover extracting logs from Azure, restricting administrative access, requiring multi-factor authentication, and enabling logging.
AWS Incident Response Cheat Sheet.pdf
With the rapid migration to the cloud,
it’s becoming increasingly difficult to keep track
of all of the different data sources, commands,
and tools available from each Cloud Service
Provider (CSP). This cheat sheet was designed
to provide security professionals with an overview
of key best practices, data sources and tools that
they can have at their disposal when responding
to an incident in an AWS environment.
A New Perspective on Resource-Level Cloud Forensics
AWS classifies cloud incidents across three domains: Service, Infrastructure and Application. There has been much previous discussion across the Service and Application domains, see for example the excellent SANS DFIR 2022 Keynote. This talk will focus on the unique challenges and opportunities of responding to incidents in the Infrastructure domain. Cloud Service Providers, such as AWS, GCP and Azure, often introduce artifacts of forensic value when developing features for automation and monitoring of resources. Typically, these artifacts are undocumented and exist purely for the provider's own troubleshooting, but they also provide valuable insight to an investigator analyzing malicious activity on a system. Frequently, this insight surpasses that of “provider-supported” forensic data sources. Most of the discourse around performing forensics in the cloud focuses on provider-level logging. While this is undoubtedly useful, practitioners understand that resource-level forensic analysis is crucial when responding to incidents affecting cloud infrastructure. And much of this knowledge remains opaque and undocumented. In this presentation, Chris Doman, CTO of Cado Security will present novel research of undocumented forensic artifacts from cloud service provider specific operating systems and tools. He will provide the audience with an overview of forensic techniques across cloud compute and serverless environments. He will also discuss native operating system artifacts, contrast them with their cloud equivalents and consider their usefulness in the context of the cloud. Attendees can expect to gain a unique perspective on resource-level cloud forensics and should leave the talk with a host of new data sources and knowledge for performing forensic analysis of cloud resources.
Cloud Forensics Tools
This document lists several cloud forensics tools including Cloud Forensics Utils from Google which is an open source toolkit for analyzing cloud services, Prowler which is an open source tool for security assessment of AWS environments, varc which is a tool from Cado Security for analyzing AWS VPC flow logs, and ThreatResponse which is a cloud-based platform for investigating security incidents and automating response. It also mentions Cado Response which is a commercial platform from Cado Security and an automated forensics orchestrator for Amazon EC2 from AWS.
Cloud Forensics and Incident Response Training.pdf
The document provides an overview of a free training program from Cado Security that covers cloud forensics and incident response fundamentals for AWS, Azure, and GCP, including topics such as digital forensics principles, investigative models, incident response planning, gathering an incident response team, running investigations, and containment and remediation. It also promotes Cado Security's incident response platform for investigating incidents at cloud speed.
AWS Guard Duty Forensics & Incident Response.pdf
"AWS Guard Duty Forensics & Incident Response" provides an overview of the AWS Guard Duty service and its forensic capabilities. AWS Guard Duty is a managed threat detection service that continuously monitors the AWS environment for potential malicious activity. The talk focuses on how Guard Duty can be used for incident response by providing detailed forensic data that can be used to investigate security incidents.
EKS Forensics & Incident Response.pdf
"EKS Forensics & Incident Response" will explore the critical role of Elastic Kubernetes Service (EKS) in incident response and forensic investigations. The presentation will begin by discussing the current threat landscape and the need for organizations to have a well-defined incident response plan in place to mitigate risks effectively.
The speaker will then delve into the various phases of incident response, including preparation, identification, containment, eradication, and recovery. The focus will be on how EKS can be leveraged to perform forensics investigations during the identification phase, with an emphasis on the tools and techniques available for gathering data and analyzing events.
The talk will also cover the unique challenges associated with conducting forensic investigations in a containerized environment and the strategies for overcoming these challenges. Attendees will learn how EKS can facilitate forensic investigations in containerized environments by providing rich telemetry data, monitoring tools, and analysis capabilities.
Finally, the presentation will emphasize the importance of communication and collaboration between security teams and other stakeholders in the organization during an incident. Attendees will leave with a deeper understanding of how EKS can play a vital role in incident response and forensics investigations, and practical strategies for improving their organization's security posture.
AWS IAM Forensics & Incident Response
In today's cloud-based infrastructure, AWS IAM (Identity and Access Management) is one of the most critical components for ensuring security. However, despite the many safeguards in place, IAM-related incidents can occur, ranging from simple misconfigurations to full-blown attacks. In this talk, we will discuss how to perform forensics and incident response for AWS IAM. We will cover the tools and techniques necessary to investigate and identify root causes of IAM incidents. We will also discuss how to mitigate and remediate incidents, as well as how to implement proactive measures to prevent future incidents. By the end of this talk, attendees will have a better understanding of how to effectively handle AWS IAM-related incidents and ensure the security of their AWS environments.
AWS Forensics & Incident Response
Participants will learn how to:
Understand AWS security features and best practices
Conduct forensics investigations in AWS environments
Identify and collect relevant data for investigations
Analyze AWS logs to identify indicators of compromise
Respond to security incidents in AWS
Lambda Forensics & Incident Response.pdf
This talk will focus on the use of AWS Lambda for incident response and forensics. AWS Lambda is a serverless computing service that allows developers to run code without the need for traditional infrastructure. However, this serverless approach can make it challenging to conduct investigations and respond to incidents. In this talk, we will discuss the tools and techniques available for collecting and analyzing data in Lambda environments. We will also cover how to use AWS CloudTrail and AWS Config for real-time threat detection and response. Additionally, we will discuss best practices for securing Lambda functions and preventing incidents from occurring in the first place. Attendees will come away with a solid understanding of how to use Lambda for incident response and forensics and be better equipped to handle security incidents in serverless environments.
Case Studies Denonia - Lambda DFIR.pdf
This talk covers an example of DFIR / responding to an attack in AWS Lambda. It focuses on the malware Denonia.
Cloud Security Fundamentals for Forensics and Incident Response.pdf
As organizations continue to adopt cloud-based infrastructures, the need for effective cloud security measures has become increasingly important. In this talk, we will discuss the fundamentals of cloud security as it pertains to forensics and incident response. We will cover topics such as cloud service models, shared responsibility models, and the various security controls available within cloud environments. We will also discuss common cloud security incidents and how to perform effective incident response and forensics in the cloud. Attendees will leave with a better understanding of how to secure their cloud environments and effectively respond to incidents when they occur.
AWS Detective Forensics & Incident Response.pdf
The AWS Detective Forensics & Incident Response talk will focus on the benefits of using AWS Detective for forensic analysis and incident response. The talk will provide an overview of AWS Detective and its capabilities, including how it can help investigate security incidents and provide visual representations of the investigation results. The talk will also cover key considerations and best practices for implementing effective incident response processes using AWS Detective, such as setting up AWS Detective and integrating it with other AWS services. Additionally, the talk will delve into the importance of forensic analysis in identifying the root cause of security incidents and how AWS Detective can help perform effective forensic investigations. The talk will also include examples of how AWS Detective has been used to detect and remediate security incidents in real-world scenarios, and best practices for using AWS Detective to improve overall security posture.
GKE Forensics & Incident Response.pdf
This document discusses Google Kubernetes Engine (GKE) forensics and incident response. It provides a link to the GKE documentation on cluster architecture and mentions Cado Security's incident response platform, which offers a free 14-day trial to access unlimited use of their response tools.
AWS SSM Forensics and Incident Response
The document discusses AWS SSM forensics and incident response. It provides three links about AWS SSM logging - one detailing what logging is available in the AWS SSM console, another describing what SSM logs are stored on disk, and a third promoting a 14-day free trial of the Cado Response Platform for incident investigation.
Kubernetes Docker Forensics & Incident Response.pdf
The talk "Kubernetes and Docker Forensics & Incident Response" will focus on the Digital Forensics and Incident Response (DFIR) investigation of containerized environments using Kubernetes and Docker. With the increasing adoption of containerization technologies, it is crucial for organizations to have a robust security strategy in place to handle security incidents.
This talk will cover the key concepts of containerization technologies such as Docker and Kubernetes, and their security implications. We will discuss the forensic techniques and methodologies that can be used to identify the root cause of security incidents in these environments, including container forensics, network traffic analysis, and memory forensics.
The talk will also provide insights into the challenges and limitations of conducting a DFIR investigation in a containerized environment, such as the ephemeral nature of containers and the need for specialized tooling.
Attendees will learn about the best practices for implementing logging and monitoring in Docker and Kubernetes environments, as well as the importance of having a well-defined incident response plan for containerized environments.
Overall, this talk will provide valuable insights into the DFIR investigation of containerized environments using Kubernetes and Docker, and how organizations can better prepare themselves to respond to security incidents in these environments.
Case Studies TeamTNT - AWS & Container Cryptomining Worm DFIR.pdf
The talk "Case Studies TeamTNT - AWS & Container Cryptomining Worm DFIR" goes into the incident response investigation into a container cryptomining worm attack perpetrated by the hacking group TeamTNT. The presentation will focus on the use of AWS and container technology in the attack and how these tools were leveraged in the investigation. Attendees will learn about the tools and techniques used to identify and contain the attack, as well as lessons learned from the incident response. The presentation will cover the importance of monitoring container environments for security threats and implementing best practices for AWS security. Additionally the talk will highlight the use of machine learning and automation in the incident response process. By the end of the presentation, attendees will gain a better understanding of the challenges and opportunities of conducting DFIR investigations in cloud environments and with container technology.
EC2 Forensics & Incident Response.pdf
"EC2 Forensics & Incident Response" will focus on the crucial role of Elastic Compute Cloud (EC2) in incident response and forensics investigations. The presentation will begin by discussing the current threat landscape and the need for organizations to have a robust incident response plan in place to effectively mitigate security risks.
The speaker will then outline the various phases of incident response, including preparation, identification, containment, eradication, and recovery. The talk will emphasize how EC2 can be leveraged to perform forensics investigations during the identification phase, with a focus on the tools and techniques available for collecting data and analyzing events.
The presentation will also cover the unique challenges associated with conducting forensic investigations in the EC2 environment and the strategies for overcoming these challenges. Attendees will learn how to use EC2 monitoring and analysis tools to collect and preserve evidence during investigations.
ECS Forensics & Incident Response
"ECS Forensics & Incident Response" will focus on the importance of implementing an effective incident response plan and the role of ECS (Elastic Container Service) in conducting forensic investigations. The presentation will begin by discussing the current threat landscape and the need for organizations to prepare for security incidents proactively. The speaker will then outline the various phases of incident response, including preparation, identification, containment, eradication, and recovery.
The talk will also cover how ECS can be leveraged to perform forensics investigations during the identification phase, with a focus on the various tools and techniques that can be used to gather data and analyze events. The speaker will discuss the challenges associated with conducting forensic investigations in a containerized environment and provide best practices for overcoming these challenges.
Finally, the presentation will highlight the importance of collaboration between security teams and other stakeholders within the organization, emphasizing the need for communication and coordination during an incident. Attendees will leave with a deeper understanding of how ECS can play a critical role in incident response and forensics investigations, and with practical tips for improving their organization's security posture.
More from Christopher Doman (20)
Five Reasons Why You Need Cloud Investigation & Response Automation
Five Reasons Why You Need Cloud Investigation & Response Automation
A New Perspective on Resource-Level Cloud Forensics
A New Perspective on Resource-Level Cloud Forensics
Cloud Forensics and Incident Response Training.pdf
Cloud Forensics and Incident Response Training.pdf
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
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In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Mind map of terminologies used in context of Generative AI
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Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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- 1. Azure Forensics & Incident Response
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