Getting Started with Splunk Breakout SessionSplunk
Splunk is a software platform that allows users to search, monitor, and analyze machine-generated big data for security, IT and business intelligence. It collects data from sources like servers, networks, sensors and applications. Splunk can scale from analyzing data from a single computer to very large enterprises handling terabytes of data per day. It provides real-time operational intelligence through universal data ingestion, schema-on-the-fly indexing, and an intuitive search process.
October 2014 Webinar: Cybersecurity Threat DetectionSqrrl
Using Sqrrl Enterprise and the GraphX library included in Apache Spark, we will construct a dynamic graph of entities and relationships that will allow us to build baseline patterns of normalcy, flag anomalies on the fly, analyze the context of an event, and ultimately identify and protect against emergent cyber threats.
This document provides an overview and agenda for a Machine Data 101 presentation. The presentation covers Splunk fundamentals including the Splunk architecture and components, data sources both traditional and non-traditional, data enrichment techniques including tags, field aliases, calculated fields, event types, and lookups. Labs are included to help attendees get hands-on experience with indexing sample data, performing data discovery, and enriching data.
In this training session, two leading security experts review how adversaries use DNS to achieve their mission, how to use DNS data as a starting point for launching an investigation, the data science behind automated detection of DNS-based malicious techniques and how DNS tunneling and DGA machine learning algorithms work.
Watch the presentation with audio here: http://info.sqrrl.com/leveraging-dns-for-proactive-investigations
This document provides an overview and agenda for a Splunk Machine Data Workshop. It discusses Splunk's approach to machine data, its industry-leading platform capabilities, and covers topics including non-traditional data sources, data enrichment, advanced search and reporting commands, data models and pivots, custom visualizations, and workshop setup instructions. Attendees will learn how to index sample data, perform searches, detect patterns, and explore non-traditional data sources.
This document provides information on an advanced Splunk administration training course. The 9-hour course covers topics such as hardware and topology options, advanced data input configuration, authentication methods, security, and troubleshooting. The course objectives are covered in 10 lessons including distributed search, deployment servers, index replication, authentication, and security. Prerequisites for the course are completion of introductory Splunk courses on using and administering Splunk.
Daten anonymisieren und pseudonymisieren in Splunk Enterprisejenny_splunk
This document discusses data obfuscation techniques in Splunk Enterprise, including anonymization and pseudonymization. It covers securing data in flight using encryption and authentication. For data at rest, it discusses integrity controls and encryption using OS, devices, or Vormetric. It then details how Splunk supports anonymization through SEDCMD transforms or at search time. Pseudonymization techniques include hashing or duplicating data to different indexes. The document demonstrates modular inputs and a custom data handler to encrypt and anonymize fields before indexing.
Getting started with Splunk - Break out SessionGeorg Knon
This document provides an overview and getting started guide for Splunk. It discusses what Splunk is for exploring machine data, how to install and start Splunk, add sample data, perform basic searches, create saved searches, alerts and dashboards. It also covers deployment and integration topics like scaling Splunk, distributing searches across data centers, forwarding data to Splunk, and enriching data with lookups. The document recommends resources like the Splunk community for further support.
SplunkLive! Getting Started with Splunk EnterpriseSplunk
The document provides an agenda and overview for a Splunk getting started user training workshop. The summary covers the key topics:
- Getting started with Splunk including downloading, installing, and starting Splunk
- Core Splunk functions like searching, field extraction, saved searches, alerts, reporting, dashboards
- Deployment options including universal forwarders, distributed search, and high availability
- Integrations with other systems for data input, user authentication, and data output
- Support resources like the Splunk community, documentation, and technical support
The document discusses Apache Spot, a new approach to network security that aims to address limitations of traditional SIEM systems. It proposes moving from detection-focused workflows to prioritizing real investigation through anomaly-based detection. Apache Spot leverages open source technologies like Apache Hadoop, Spark, and machine learning to filter billions of events down to thousands for further analysis. It is intended to give partners control over their own data while benefiting from an open data model and community engagement.
Deep Learning in Security—An Empirical Example in User and Entity Behavior An...Databricks
This document discusses using deep learning for user and entity behavior analytics (UEBA) security. It provides an example of how deep learning can be used to detect anomalies in user and entity behaviors to identify security threats like data exfiltration and malware infections. The document outlines how behavioral data from different sources can be encoded and analyzed using techniques like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to learn normal behavior patterns and detect anomalies. It also discusses how a UEBA solution combines machine learning models with local context and continuous feedback to improve detection of new threats.
This document provides an overview of deploying and optimizing Splunk implementations on the Nutanix virtual computing platform. It describes the Nutanix architecture, Splunk software capabilities, and benefits of running Splunk on Nutanix. Testing showed a single Splunk VM could index 80,000-89,000 events per second, while multiple VMs scaled to 340,000-500,000 EPS. The Nutanix platform automatically tiers Splunk data for optimal performance as the data ages.
Splunk Data Onboarding Overview - Splunk Data Collection ArchitectureSplunk
Splunk's Naman Joshi and Jon Harris presented the Splunk Data Onboarding overview at SplunkLive! Sydney. This presentation covers:
1. Splunk Data Collection Architecture 2. Apps and Technology Add-ons
3. Demos / Examples
4. Best Practices
5. Resources and Q&A
This document provides an overview of data enrichment techniques in Splunk including tags, field aliases, calculated fields, event types, and lookups. It describes how tags can add context and categorize data, field aliases can simplify searches by normalizing field labels, and lookups can augment data with additional external fields. The document also discusses various data sources that Splunk can index such as network data, HTTP events, alerts, scripts, databases, and modular inputs for custom data collection.
Analyzing 1.2 Million Network Packets per Second in Real-timeDataWorks Summit
The document describes Cisco's OpenSOC, an open source security operations center that can analyze 1.2 million network packets per second in real time. It discusses the business need for such a solution given how breaches often go undetected for months. The solution architecture utilizes big data technologies like Hadoop, Kafka and Storm to enable real-time processing of streaming data at large scale. It also provides lessons learned around optimizing the performance of components like Kafka, HBase and Storm topologies.
Machine-generated data is one of the fastest growing and complex areas of big data. It's also one of the most valuable, containing some of the most important insights: where things went wrong, how to optimize the customer experience, the fingerprints of fraud. Join us as we explore the basics of machine data analysis and highlight techniques to help you turn your organization’s machine data into valuable insights—across IT and the business. This introductory workshop includes a hands-on (bring your laptop) demonstration of Splunk’s technology and covers use cases both inside and outside IT. Learn why more than 13,000 customers in over 110 countries use Splunk to make their organizations more efficient, secure, and profitable.
This document outlines a presentation on threat hunting with Splunk. It discusses threat hunting basics, data sources for threat hunting, understanding endpoints, and the cyber kill chain model. The agenda includes a hands-on walkthrough of attacking scenario detection using Splunk. Advanced threat hunting techniques, enterprise security investigations, and applying machine learning to security are also covered.
This document outlines an agenda for a Splunk getting started user training workshop. The agenda includes introducing Splunk functionality like search, alerts, dashboards, deployment and integration. It also covers installing Splunk, indexing data, search basics, field extraction, saved searches, alerting and reporting dashboards. The workshop aims to help users get started with the core Splunk features.
This document provides an overview of Splunk, including how to install Splunk, configure licenses, perform searches, set up alerts and reports, and manage deployments. It discusses indexing data, extracting fields, tagging events, and using the web interface. The goal is to get users started with the basic functions of Splunk like searching, reporting and monitoring.
This document provides an overview and demonstration of Splunk Enterprise. It discusses Splunk's capabilities for indexing, searching, and analyzing machine data from various sources. The live demonstration shows how to install Splunk, import sample data, perform searches, create dashboards and alerts. It also covers Splunk's deployment architecture and scalability options. Attendees are encouraged to ask questions on Splunk's online communities and support channels.
Advanced Use Cases for Analytics Breakout SessionSplunk
This document discusses Splunk's analytics capabilities and how to develop analytics for business users. It introduces personas as user types in a Splunk deployment beyond core IT. Requirements should be gathered for each persona, including their business problem, relevant data sources, and how they prefer to consume results. Searches and data models can then be developed and delivered through dashboards, visualizations, or third-party tools. Advanced analytics techniques discussed include anomaly detection, data visualization, predictive analytics, and demos. The document encourages reaching out for help from Splunk technical teams to grow analytics beyond IT.
This document provides an overview and examples of data onboarding in Splunk. It discusses best practices for indexing data, such as setting the event boundary, date, timestamp, sourcetype and source fields. Examples are given for onboarding complex JSON, simple JSON and complex CSV data. Lessons learned from each example highlight issues like properly configuring settings for nested or multiple timestamp fields. The presentation also introduces Splunk capabilities for collecting machine data beyond logs, such as the HTTP Event Collector, Splunk MINT and the Splunk App for Stream.
SplunkLive! Customer Presentation - Penn State Hershey Medical CenterSplunk
This document discusses Jeff Campbell's role as the Information Security Architect at Penn State Hershey Medical Center and their use of Splunk. It describes how Penn State Hershey Medical Center has over 9,000 employees and a combined $1.5 billion budget across its institutes and hospitals. It outlines some of the challenges they faced with decentralized logging prior to Splunk, and how Splunk provided a centralized log repository allowing for faster searching and correlation across systems. It provides examples of how Penn State Hershey is using Splunk for security use cases, operational improvements, and additional sources. It also discusses their Splunk architecture and future plans to expand Splunk usage.
Adam Fuchs' presentation slides on what's next in the evolution of BigTable implementations (transactions, indexing, etc.) and what these advances could mean for the massive database that gave rise to Google.
This document provides an overview of a presentation on security monitoring and analytics using Splunk. The presentation covers using Splunk Enterprise for security operations like alert management and incident response. It also covers using Splunk User Behavior Analytics to detect anomalies and threats using machine learning. The presentation highlights new features in Splunk Enterprise Security 4.1 like prioritizing investigations and expanded threat intelligence, and new features in Splunk UBA 2.2 like enhanced security analytics and custom threat modeling. It demonstrates integrating UBA results into the Splunk Enterprise Security workflow for faster investigation of advanced threats.
Get full visibility and find hidden security issuesElasticsearch
Learn key practices in data collection and normalization to expand visibility into your environment. See how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
The document provides an overview of Splunk software and its capabilities. It discusses downloading and installing Splunk, indexing data, searching and analyzing data through searches and reports, setting up alerts, and integrating Splunk with other systems. It also covers deploying Splunk in distributed and high availability environments at scale.
This document provides an agenda and slides for a PowerShell presentation. The agenda covers PowerShell basics, file systems, users and access control, event logs, and system management. The slides introduce PowerShell, discuss cmdlets and modules, and demonstrate various administrative tasks like managing files, users, services, and the firewall using PowerShell. The presentation aims to show how PowerShell can be used for both system administration and security/blue team tasks.
SplunkLive! Getting Started with Splunk EnterpriseSplunk
The document provides an agenda and overview for a Splunk getting started user training workshop. The summary covers the key topics:
- Getting started with Splunk including downloading, installing, and starting Splunk
- Core Splunk functions like searching, field extraction, saved searches, alerts, reporting, dashboards
- Deployment options including universal forwarders, distributed search, and high availability
- Integrations with other systems for data input, user authentication, and data output
- Support resources like the Splunk community, documentation, and technical support
The document discusses Apache Spot, a new approach to network security that aims to address limitations of traditional SIEM systems. It proposes moving from detection-focused workflows to prioritizing real investigation through anomaly-based detection. Apache Spot leverages open source technologies like Apache Hadoop, Spark, and machine learning to filter billions of events down to thousands for further analysis. It is intended to give partners control over their own data while benefiting from an open data model and community engagement.
Deep Learning in Security—An Empirical Example in User and Entity Behavior An...Databricks
This document discusses using deep learning for user and entity behavior analytics (UEBA) security. It provides an example of how deep learning can be used to detect anomalies in user and entity behaviors to identify security threats like data exfiltration and malware infections. The document outlines how behavioral data from different sources can be encoded and analyzed using techniques like convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to learn normal behavior patterns and detect anomalies. It also discusses how a UEBA solution combines machine learning models with local context and continuous feedback to improve detection of new threats.
This document provides an overview of deploying and optimizing Splunk implementations on the Nutanix virtual computing platform. It describes the Nutanix architecture, Splunk software capabilities, and benefits of running Splunk on Nutanix. Testing showed a single Splunk VM could index 80,000-89,000 events per second, while multiple VMs scaled to 340,000-500,000 EPS. The Nutanix platform automatically tiers Splunk data for optimal performance as the data ages.
Splunk Data Onboarding Overview - Splunk Data Collection ArchitectureSplunk
Splunk's Naman Joshi and Jon Harris presented the Splunk Data Onboarding overview at SplunkLive! Sydney. This presentation covers:
1. Splunk Data Collection Architecture 2. Apps and Technology Add-ons
3. Demos / Examples
4. Best Practices
5. Resources and Q&A
This document provides an overview of data enrichment techniques in Splunk including tags, field aliases, calculated fields, event types, and lookups. It describes how tags can add context and categorize data, field aliases can simplify searches by normalizing field labels, and lookups can augment data with additional external fields. The document also discusses various data sources that Splunk can index such as network data, HTTP events, alerts, scripts, databases, and modular inputs for custom data collection.
Analyzing 1.2 Million Network Packets per Second in Real-timeDataWorks Summit
The document describes Cisco's OpenSOC, an open source security operations center that can analyze 1.2 million network packets per second in real time. It discusses the business need for such a solution given how breaches often go undetected for months. The solution architecture utilizes big data technologies like Hadoop, Kafka and Storm to enable real-time processing of streaming data at large scale. It also provides lessons learned around optimizing the performance of components like Kafka, HBase and Storm topologies.
Machine-generated data is one of the fastest growing and complex areas of big data. It's also one of the most valuable, containing some of the most important insights: where things went wrong, how to optimize the customer experience, the fingerprints of fraud. Join us as we explore the basics of machine data analysis and highlight techniques to help you turn your organization’s machine data into valuable insights—across IT and the business. This introductory workshop includes a hands-on (bring your laptop) demonstration of Splunk’s technology and covers use cases both inside and outside IT. Learn why more than 13,000 customers in over 110 countries use Splunk to make their organizations more efficient, secure, and profitable.
This document outlines a presentation on threat hunting with Splunk. It discusses threat hunting basics, data sources for threat hunting, understanding endpoints, and the cyber kill chain model. The agenda includes a hands-on walkthrough of attacking scenario detection using Splunk. Advanced threat hunting techniques, enterprise security investigations, and applying machine learning to security are also covered.
This document outlines an agenda for a Splunk getting started user training workshop. The agenda includes introducing Splunk functionality like search, alerts, dashboards, deployment and integration. It also covers installing Splunk, indexing data, search basics, field extraction, saved searches, alerting and reporting dashboards. The workshop aims to help users get started with the core Splunk features.
This document provides an overview of Splunk, including how to install Splunk, configure licenses, perform searches, set up alerts and reports, and manage deployments. It discusses indexing data, extracting fields, tagging events, and using the web interface. The goal is to get users started with the basic functions of Splunk like searching, reporting and monitoring.
This document provides an overview and demonstration of Splunk Enterprise. It discusses Splunk's capabilities for indexing, searching, and analyzing machine data from various sources. The live demonstration shows how to install Splunk, import sample data, perform searches, create dashboards and alerts. It also covers Splunk's deployment architecture and scalability options. Attendees are encouraged to ask questions on Splunk's online communities and support channels.
Advanced Use Cases for Analytics Breakout SessionSplunk
This document discusses Splunk's analytics capabilities and how to develop analytics for business users. It introduces personas as user types in a Splunk deployment beyond core IT. Requirements should be gathered for each persona, including their business problem, relevant data sources, and how they prefer to consume results. Searches and data models can then be developed and delivered through dashboards, visualizations, or third-party tools. Advanced analytics techniques discussed include anomaly detection, data visualization, predictive analytics, and demos. The document encourages reaching out for help from Splunk technical teams to grow analytics beyond IT.
This document provides an overview and examples of data onboarding in Splunk. It discusses best practices for indexing data, such as setting the event boundary, date, timestamp, sourcetype and source fields. Examples are given for onboarding complex JSON, simple JSON and complex CSV data. Lessons learned from each example highlight issues like properly configuring settings for nested or multiple timestamp fields. The presentation also introduces Splunk capabilities for collecting machine data beyond logs, such as the HTTP Event Collector, Splunk MINT and the Splunk App for Stream.
SplunkLive! Customer Presentation - Penn State Hershey Medical CenterSplunk
This document discusses Jeff Campbell's role as the Information Security Architect at Penn State Hershey Medical Center and their use of Splunk. It describes how Penn State Hershey Medical Center has over 9,000 employees and a combined $1.5 billion budget across its institutes and hospitals. It outlines some of the challenges they faced with decentralized logging prior to Splunk, and how Splunk provided a centralized log repository allowing for faster searching and correlation across systems. It provides examples of how Penn State Hershey is using Splunk for security use cases, operational improvements, and additional sources. It also discusses their Splunk architecture and future plans to expand Splunk usage.
Adam Fuchs' presentation slides on what's next in the evolution of BigTable implementations (transactions, indexing, etc.) and what these advances could mean for the massive database that gave rise to Google.
This document provides an overview of a presentation on security monitoring and analytics using Splunk. The presentation covers using Splunk Enterprise for security operations like alert management and incident response. It also covers using Splunk User Behavior Analytics to detect anomalies and threats using machine learning. The presentation highlights new features in Splunk Enterprise Security 4.1 like prioritizing investigations and expanded threat intelligence, and new features in Splunk UBA 2.2 like enhanced security analytics and custom threat modeling. It demonstrates integrating UBA results into the Splunk Enterprise Security workflow for faster investigation of advanced threats.
Get full visibility and find hidden security issuesElasticsearch
Learn key practices in data collection and normalization to expand visibility into your environment. See how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
The document provides an overview of Splunk software and its capabilities. It discusses downloading and installing Splunk, indexing data, searching and analyzing data through searches and reports, setting up alerts, and integrating Splunk with other systems. It also covers deploying Splunk in distributed and high availability environments at scale.
This document provides an agenda and slides for a PowerShell presentation. The agenda covers PowerShell basics, file systems, users and access control, event logs, and system management. The slides introduce PowerShell, discuss cmdlets and modules, and demonstrate various administrative tasks like managing files, users, services, and the firewall using PowerShell. The presentation aims to show how PowerShell can be used for both system administration and security/blue team tasks.
Splunk is a software platform that allows users to search, monitor, and analyze machine-generated big data for security, business intelligence, and other uses. It collects and indexes data in real-time from various sources and enables users to search and investigate the data, create alerts, reports, and visualizations. Splunk has over 5,200 customers worldwide across various industries and can be used for applications including IT operations, security, and business analytics.
Getting Started with Splunk Enterprise Hands-On Breakout SessionSplunk
This document provides an overview and demonstration of Splunk Enterprise. It discusses what machine data is and Splunk's mission to make it accessible. The presentation covers installing and onboarding data into Splunk, performing searches, creating dashboards and alerts. It also summarizes deployment architectures for Splunk and options for support and learning more.
Leveraging Structured Data To Reduce Disk, IO & Network BandwidthPerforce
Most of the data that is pulled out of an SCM like Perforce Helix is common across multiple workspaces. Leveraging this fact means only fetching the data once from the repository. By creating cheap copies or clones of this data on demand, it is possible to dramatically reduce the load on the network, disks and Perforce servers, while making near-instant workspaces available to users.
The document discusses strategies for making applications on Amazon EC2 more resilient and fault tolerant. Some key points include having as few machines as possible contain application state, testing state restores, treating stateless servers as disposable, using distributed datastores rather than single large databases, and using security groups to define server roles and access restrictions.
The document provides an overview of the basic steps for conducting an ediscovery collection using Guidance Software's EnCase Enterprise v7. It describes installing the required EnCase Enterprise components like the SAFE, Examiner and Servlets. It then outlines how to open a new case, define the target nodes, create a collection sweep to retrieve files and metadata based on conditions, and handle the sweep results. The summary provides the essential workflow and technical components involved in performing a foundational EnCase Enterprise collection.
Setup of EDA tools and workstation environment variables in NCTU 307 Lab. wor...Michael Lee
This document discusses setting up the environment variables needed to use EDA tools on workstations in the NCTU 307 Lab. It describes the purpose and setup of key variables like $PATH, $LD_LIBRARY_PATH, $LM_LICENSE_FILE, and $DISPLAY. It also provides instructions for installing and configuring Xming to enable GUI applications on Windows and offers tips for debugging issues with variables or starting specific EDA tools like Cadence.
Mainframe Customer Education Webcast: New Ironstream Facilities for Enhanced ...Precisely
This webinar covered new features in Ironstream for enhanced z/OS analytics, including advanced filtering for SMF data and data loss protection. It discussed integrating Ironstream with Splunk's IT Service Intelligence platform to provide a unified view of critical mainframe services and metrics. The webinar demonstrated several sample Splunk apps available on Splunkbase that leverage mainframe data from Ironstream to monitor things like CICS regions, MQ queues, system performance, and syslog messages.
### Delivered at grrcon.com ###
One of the primary data sources we use on the Splunk Security Research Team is attack data collected from various corners of the globe. We often obtain this data in the wild using honeypots, with the goal of uncovering new or unusual attack techniques and other malicious activities for research purposes. The nirvana state is a honeypot tailored to mimic the kind of attack/attacker you are hoping to study. To do this effectively, the honeypot must very closely resemble a legitimate system. As a principal security research at Splunk, co-founder of Zenedge (Now part of Oracle), and Security Architect at Akamai I have spent many years protecting organizations from targeted as well as internet-wide attacks, and honeypots has been extremely useful (at times better than threat intel) tool at capturing and studying active malicious actors.
In this talk, I aim to provide an introduction to honeypots, explain some of the experiences and lessons learned we have had running Cowrie a medium interaction SSH honeypot base on Kippo. How we modified cowrie to make it more realistic and mimic the systems and attack we are trying to capture as well as our approach for the next generation of honeypots we plan to use in our research work. The audience in this talk will learn how to deploy and use cowrie honeypot as a defense mechanism in their organization. Also, we will share techniques on how to modify cowrie in order to masquerade different systems and vulnerabilities mimicking the asset(s) being defended. Finally, share example data produced by the honeypot and analytic techniques that can be used as feedback to improve the deployed honeypot. We will close off the talk by sharing thoughts on how we are evolving our approach for capturing attack data using honeypots and why.
InSpec is an open-source testing framework that allows users to write security and compliance tests. Tests can be written to check configurations, files, and other infrastructure attributes. InSpec includes built-in resources that make it easy to test common services and configurations. Tests are written in a human-readable format and can be executed locally or remotely on servers. InSpec integrates with tools like Chef and Test Kitchen to allow testing as part of development and deployment workflows. The document provides examples of using InSpec to test SSH configuration and other attributes based on security requirements.
Thursday, June 12th 2014
Discussing strategies in Rails development for keeping multiple application environments as consistent as possible for the best development, testing, and deployment experience.
## Talk delivered at artintoscience.com ##
One of the primary data sources we use on the Splunk Security Research Team is attack data collected from various corners of the globe. We often obtain this data in the wild using honeypots, with the goal of uncovering new or unusual attack techniques and other malicious activities for research purposes. The nirvana state is a honeypot tailored to mimic the kind of attack/attacker you are hoping to study. To do this effectively, the honeypot must very closely resemble a legitimate system. As a principal security research at Splunk, co-founder of Zenedge (Now part of Oracle), and Security Architect at Akamai I have spent many years protecting organizations from targeted as well as internet-wide attacks, and honeypots has been extremely useful (at times better than threat intel) tool at capturing and studying active malicious actors.
In this talk, I aim to provide an introduction to honeypots, explain some of the experiences and lessons learned we have had running Cowrie a medium interaction SSH honeypot base on Kippo. How we modified cowrie to make it more realistic and mimic the systems and attack we are trying to capture as well as our approach for the next generation of honeypots we plan to use in our research work. The audience in this talk will learn how to deploy and use cowrie honeypot as a defense mechanism in their organization. Also, we will share techniques on how to modify cowrie in order to masquerade different systems and vulnerabilities mimicking the asset(s) being defended. Finally, share example data produced by the honeypot and analytic techniques that can be used as feedback to improve the deployed honeypot. We will close off the talk by sharing thoughts on how we are evolving our approach for capturing attack data using honeypots and why.
InSpec is a tool that allows users to write security and compliance tests as human-readable code (or "profiles") that can be run on systems to check configurations and identify issues. Profiles can test for things like required SSH settings, file permissions, and package/patch levels. Profiles are run using the InSpec command line tool and can test local systems or remote targets like Linux servers. When profiles detect failures, they return non-zero exit codes to fail automation jobs. This allows InSpec to integrate with configuration management and infrastructure as code tools for continuous compliance monitoring.
The latest, ultimative final version, current release, approved, last minute...Martin Leyrer
To offer your customers the best IBM Connections install possible, there are quite a few thing you should at least think about activating. The range of options you should think about spans from enabling the file sync through URL previews to assigning ToDos to multiple people.
We will take you on a tour of free features that you could enable for your users to give them a better Connections experience. You will leave this session with a checklist and links to documentation so you can start implementing right after the session.
Buzzword Bingo for this session: free, hidden settings, free, checlist, additional functionality, free, best practice
The Latest, Ultimative Final Version, Current Release, Approved, Last Minute ...LetsConnect
To offer your customers the best IBM Connections install possible, there are quite a few thing you should at least think about activating. The range of options you should think about spans from enabling the file sync through URL previews to assigning ToDos to multiple people.
We will take you on a tour of free features that you could enable for your users to give them a better Connections experience. You will leave this session with a checklist and links to documentation so you can start implementing right after the session.
Buzzword Bingo for this session: free, hidden settings, free, checlist, additional functionality, free, best practice
This document provides an overview of Windows 8 forensics and anti-forensics techniques. It discusses new features in Windows 8 like pagefile and swapfile functions, Windows 8 to Go, Bitlocker updates, cloud integration, thumbnail caching, and PC refresh. It also covers Internet Explorer 10 changes and analyzes the pagefile, swapfile, thumbcache, file history artifacts, and new registry hives introduced in Windows 8. Anti-forensics techniques like encryption, time tampering, disk wiping, and disk destruction are also briefly mentioned. The document promotes an upcoming security conference and provides contact information for the author.
The document provides best practices for implementing Splunk, including recommendations around topology, architecture, hardware, data routing, inputs, and other areas. It recommends a common topology with multiple forwarders and indexers for scalability and redundancy. It also provides guidance on topics like sourcetype configuration, search head placement, Active Directory integration, and hardware sizing. The document contains a detailed table of contents covering additional implementation areas.
SFBA Splunk Usergroup meeting December 14, 2023Becky Burwell
The summary provides an overview of the key topics and announcements from the Splunk User Group meeting:
1. The meeting will start at 11:10 am PST with a welcome and announcements before speakers present.
2. Upcoming meeting dates and locations for 2023 are provided, including a virtual meeting in March 2023.
3. The presentation will cover writing documentation for Splunk, including administrator documentation, user documentation, and documenting known issues. Tips are provided about iterating on documentation.
The document discusses a Splunk User Group meeting where the CISO of Los Angeles discussed the importance of automation and intelligence to act on threats. It then provides an overview of threat intelligence and how Recorded Future collects and organizes data from various sources to understand the threat landscape. Finally, it describes how the Recorded Future integration with Splunk can help accelerate security workflows like investigation, automation, and strategic planning.
SFBA Splunk User Group Meeting February 2023Becky Burwell
This presentation provides an overview of Splunk apps and how to build Splunk addons. It discusses the different types of Splunk apps and addons, such as modular inputs, parsing configurations, and custom search commands. It also covers ways to build addons using the UCC framework or Addon Builder, as well as how to package and vet apps using CLI commands, APIs, and the packaging toolkit. Resources for learning app development are also provided.
SFBA Splunk Usergroup meeting December 2022Becky Burwell
This presentation discusses Splunk Ideas, a program that allows users to submit enhancement requests for Splunk products. It provides metrics on the number of ideas submitted, voted on, and implemented. The presentation outlines the lifecycle of an idea from submission to implementation. It also discusses upcoming improvements to Splunk Ideas including customer champions, newsletters, and better response rates.
SF Bay Area Splunk User Group Meeting October 5, 2022Becky Burwell
Andrew D'Auria, the Director of Sales Engineering at Anvilogic, gave a presentation on modernizing threat detection engineering. He discussed problems with the current detection engineering process, including that it is slow, results in noisy alerts, and lacks coordination across tools. D'Auria proposed using Anvilogic's platform to build detections based on MITRE ATT&CK techniques and scenarios, correlate events of interest without code, and measure detection program effectiveness to improve security operations. He provided examples of how Anvilogic helped a financial client improve detections and reduce alerts.
SFBA Splunk User Group Meeting August 10, 2022Becky Burwell
The document summarizes the agenda and presentations for the August SF Bay Area Splunk User Group meeting. Ryan O'Connor gave a presentation on Dashboard Studio and the Splunk UI. He discussed why to build with Dashboard Studio, how to quickly customize dashboards, reduce searches, and tips for building with Dashboard Studio. Rinita Datta then presented on driving customer success through self-service resources like the Adoption Boards, signing up for tech talks and newsletters, and finding guidance on Splunk Lantern.
Getting Started with Splunk Observability September 8, 2021Becky Burwell
This document provides an introduction to getting started with Splunk Observability, including setting up a Splunk Observability trial, installing integrations for Windows, Linux, and GCP, and collecting events and metrics from cloud and observability systems. It also references a workshop for further guidance and discusses plans to get the Gateway installation working and collecting more data.
Advanced Outlier Detection and Noise Reduction with Splunk & MLTK August 11, ...Becky Burwell
This document provides an overview of advanced outlier detection and noise reduction techniques using Splunk and the Machine Learning Toolkit (MLTK). It discusses common ways to detect outliers including static thresholds, moving averages, density functions, and combining multiple methods. Ensemble learning and clustering algorithms are also introduced as ways to increase outlier detection accuracy.
This comprehensive Data Science course is designed to equip learners with the essential skills and knowledge required to analyze, interpret, and visualize complex data. Covering both theoretical concepts and practical applications, the course introduces tools and techniques used in the data science field, such as Python programming, data wrangling, statistical analysis, machine learning, and data visualization.
How iCode cybertech Helped Me Recover My Lost Fundsireneschmid345
I was devastated when I realized that I had fallen victim to an online fraud, losing a significant amount of money in the process. After countless hours of searching for a solution, I came across iCode cybertech. From the moment I reached out to their team, I felt a sense of hope that I can recommend iCode Cybertech enough for anyone who has faced similar challenges. Their commitment to helping clients and their exceptional service truly set them apart. Thank you, iCode cybertech, for turning my situation around!
[email protected]
By James Francis, CEO of Paradigm Asset Management
In the landscape of urban safety innovation, Mt. Vernon is emerging as a compelling case study for neighboring Westchester County cities. The municipality’s recently launched Public Safety Camera Program not only represents a significant advancement in community protection but also offers valuable insights for New Rochelle and White Plains as they consider their own safety infrastructure enhancements.
Mieke Jans is a Manager at Deloitte Analytics Belgium. She learned about process mining from her PhD supervisor while she was collaborating with a large SAP-using company for her dissertation.
Mieke extended her research topic to investigate the data availability of process mining data in SAP and the new analysis possibilities that emerge from it. It took her 8-9 months to find the right data and prepare it for her process mining analysis. She needed insights from both process owners and IT experts. For example, one person knew exactly how the procurement process took place at the front end of SAP, and another person helped her with the structure of the SAP-tables. She then combined the knowledge of these different persons.