SlideShare a Scribd company logo
1 of 41
Billions & Billions of Logs;
Oh My
Jack Crook
whoami
 Jack Crook (@jackcr)
 Principal Incident Responder, GE-CIRT
 Husband of 23 or 24 years?
 Father of 4
 Grandfather of 1
 Finder of Bad Guys
What this talk is
Thoughts based on my experiences
What this talk is not
How I think about threat hunting
 Hypothesis driven approach for identifying malicious
behavior within my environment.
 These hypotheses are derived from:
 First hand knowledge
 Internally developed intel
 Trusted partner sharing
 Public reporting
 Utilize kill chain to focus efforts
The three most important ?’s
 What am I looking for?
 Why am I looking for it?
 How do I find it?
What we want hunting to be
Often times the reality
Reasons
Why do we seem to flounder in that “sea of data”?
 Scope of hunt is not properly defined
 Scope of hunt is too broad
 We try and catch all instances of bad for a particular query
 We focus on a single method of finding the indicator
 We focus on singular events to attempt to draw conclusions
 We look for actions instead of behaviors
Hunting opportunities
Recon
Exploitation
Delivery
Installation
C2
Actions
Consider the following
The question is
How?
High level hypotheses
 Comprised of multiple actions
 Actions typically happen over short time spans
 Will often use legitimate windows utilities
 Will often use tools brought in with them
 Will often need to elevate permissions
 Will need to access various machines
 Will need to access files on filesystems
What can I define from these hypotheses
Needs
5 basic attacker needs
 Execution
 Credentials
 Enumeration
 Authentication
 Data Movement
Attacker Needs
Execution
Processes
Scripts
Services
Scheduled
Tasks
Execution
 cmd.exe
 powershell.exe
 wmic.exe
 Custom tools
Attacker Needs
Credentials
Domain
Administrative
Accounts
Local Services
Accounts
Accounts
pertaining to
group
membership
Credentials
 Registry hives
 Extract from lsass process
 Network sniffing
 Keylogging
 ntds.dit
 Clear text on filesystem
Attacker Needs
Enumeration
User / Group
Enumeration
Device
Enumeration
Filesystem
Enumeration
Enumeration
 “net” commands
 dir
 find
 whoami
 ping
 Custom tools
Attacker Needs
Autehntication
4624Type
3
4624Type
10
4648
Authentication
 Domain admins
 Enterprise admins
 Local admins
 Service accounts
 Users /w GID
Attacker Needs
Data
Movement
Tools
Recon
Data
Exfil
Data
Data Movement
 copy
 xcopy
 rdpclip
 PsExec
 RemCom
Now what?
We can look at these needs based actions individually and likely
swim in our sea of reality, or…
Is there possibly another way?
Behavior Chains
The thought
Can we take interesting data, that doesn’t always point to
malicious activity, and cluster it in a way that will surface actions
often used by attackers?
How do we get there
 Develop queries for specific actions based on attacker needs
 Accuracy of query is key
 Volume of output is not
 Enhance data with queries from detection technologies
 Store output of queries in central location
 Each query makes a link
 The sum of links make up a chain
Link chains by
Time
Source
Host
Destination
Host
User Action
Consider the following commands
copy bad.exe 192.168.56.10c$tempbad.exe
dir 192.168.56.10c$temp
wmic /node:192.168.56.10 /user:administrator /password:pass
process call create “bad.exe”
Time
How long would it take
you to type those
commands?
Source Host
Does the source host
show up in multiple
clusters?
Destination Host
What is the role of the
destination machine?
User
What is the number of
users and role per cluster?
Action
Does the cluster
represent multiple needs?
Data Movement Source to Dest
 Windows Security Event ID = 5145
 ObjectType = File
 Share Name = *$
 Access Mask = 0x1000180
 Access Mask = 0x80
 Access Mask = 0x130197
 Bucket 3 events within 1 sec by ComputerName
Enumeration Remote Dir $ Share
 Windows Security Event ID = 5145
 Share Name = *C$
 Share Name = *ADMIN$
 Access Mask = 0x100080
 Source Address != 127.0.0.1
ExecutionWMIC Remote Host
 Windows Security Event ID = 4688
 Windows Security Event ID = 4624
 LogonType = 3
 Source Network Address != “”
 Search Process = wmiprvse.exe
 List Additional processes spawning within same second
Authentication Suspicious 4648 Logon
 Windows Security Event ID = 4648
 Process Name = wmic.exe
 Target Server Name != localhost
 Target Server Name != *$
How our chain would look
Feed the Beast
 Windows Events
 Sysmon
 Powershell
 AV
 Whitelisting
 Flow
 NIDS/HIDS
Considerations
 Normalization of fields across data sources
 Standardization of time zones across logs
 Build queries to surface behaviors on both source and dest
 Identify areas across needs for additional opportunities
 Experiment with different methods of clustering
Benefits
 Huge reduction in high volume events
 Generates dynamic clusters of “interesting”
 Surface patterns of behavior that may otherwise be missed
 Can be used for all phases of the Kill Chain
 Can cluster behaviors across multiple data sources
I believe this will get me closer
ThankYou!
Twitter: @jackcr
Blog: findingbad.blogspot.com

More Related Content

What's hot

Threat Intelligence Field of Dreams
Threat Intelligence Field of DreamsThreat Intelligence Field of Dreams
Threat Intelligence Field of DreamsGreg Foss
 
Applied Detection and Analysis Using Flow Data - MIRCon 2014
Applied Detection and Analysis Using Flow Data - MIRCon 2014Applied Detection and Analysis Using Flow Data - MIRCon 2014
Applied Detection and Analysis Using Flow Data - MIRCon 2014chrissanders88
 
ANALYZE'15 - Bulk Malware Analysis at Scale
ANALYZE'15 - Bulk Malware Analysis at ScaleANALYZE'15 - Bulk Malware Analysis at Scale
ANALYZE'15 - Bulk Malware Analysis at ScaleJohn Bambenek
 
How to Hunt for Lateral Movement on Your Network
How to Hunt for Lateral Movement on Your NetworkHow to Hunt for Lateral Movement on Your Network
How to Hunt for Lateral Movement on Your NetworkSqrrl
 
Dynamic Population Discovery for Lateral Movement (Using Machine Learning)
Dynamic Population Discovery for Lateral Movement (Using Machine Learning)Dynamic Population Discovery for Lateral Movement (Using Machine Learning)
Dynamic Population Discovery for Lateral Movement (Using Machine Learning)Rod Soto
 
Applying Machine Learning to Network Security Monitoring - BayThreat 2013
Applying Machine Learning to Network Security Monitoring - BayThreat 2013Applying Machine Learning to Network Security Monitoring - BayThreat 2013
Applying Machine Learning to Network Security Monitoring - BayThreat 2013Alex Pinto
 
Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting Automation
Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting AutomationBiting into the Jawbreaker: Pushing the Boundaries of Threat Hunting Automation
Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting AutomationAlex Pinto
 
Hunting on the cheap
Hunting on the cheapHunting on the cheap
Hunting on the cheapAnjum Ahuja
 
Avoiding the Pitfalls of Hunting - BSides Charm 2016
Avoiding the Pitfalls of Hunting - BSides Charm 2016Avoiding the Pitfalls of Hunting - BSides Charm 2016
Avoiding the Pitfalls of Hunting - BSides Charm 2016Tony Cook
 
Blackhat 2018 - The New Pentest? Rise of the Compromise Assessment
Blackhat 2018 - The New Pentest? Rise of the Compromise AssessmentBlackhat 2018 - The New Pentest? Rise of the Compromise Assessment
Blackhat 2018 - The New Pentest? Rise of the Compromise AssessmentChristopher Gerritz
 
Hunting: Defense Against The Dark Arts v2
Hunting: Defense Against The Dark Arts v2Hunting: Defense Against The Dark Arts v2
Hunting: Defense Against The Dark Arts v2Spyglass Security
 
MITRE AttACK framework it is time you took notice_v1.0
MITRE AttACK framework it is time you took notice_v1.0MITRE AttACK framework it is time you took notice_v1.0
MITRE AttACK framework it is time you took notice_v1.0Michael Gough
 
Advances in cloud scale machine learning for cyber-defense
Advances in cloud scale machine learning for cyber-defenseAdvances in cloud scale machine learning for cyber-defense
Advances in cloud scale machine learning for cyber-defensePriyanka Aash
 
Defcon Crypto Village - OPSEC Concerns in Using Crypto
Defcon Crypto Village - OPSEC Concerns in Using CryptoDefcon Crypto Village - OPSEC Concerns in Using Crypto
Defcon Crypto Village - OPSEC Concerns in Using CryptoJohn Bambenek
 
Treat Detection using Hadoop
Treat Detection using HadoopTreat Detection using Hadoop
Treat Detection using HadoopDataWorks Summit
 
Hunting: Defense Against The Dark Arts
Hunting: Defense Against The Dark ArtsHunting: Defense Against The Dark Arts
Hunting: Defense Against The Dark ArtsSpyglass Security
 
Creating Your Own Threat Intel Through Hunting & Visualization
Creating Your Own Threat Intel Through Hunting & VisualizationCreating Your Own Threat Intel Through Hunting & Visualization
Creating Your Own Threat Intel Through Hunting & VisualizationRaffael Marty
 
Helping Small Companies Leverage CTI with an Open Source Threat Mapping
Helping Small Companies Leverage CTI with an Open Source Threat MappingHelping Small Companies Leverage CTI with an Open Source Threat Mapping
Helping Small Companies Leverage CTI with an Open Source Threat MappingMITRE - ATT&CKcon
 
HITCON 2015 - DGAs, DNS and Threat Intelligence
HITCON 2015 - DGAs, DNS and Threat IntelligenceHITCON 2015 - DGAs, DNS and Threat Intelligence
HITCON 2015 - DGAs, DNS and Threat IntelligenceJohn Bambenek
 
Incident Response for the Work-from-home Workforce
Incident Response for the Work-from-home WorkforceIncident Response for the Work-from-home Workforce
Incident Response for the Work-from-home WorkforceChristopher Gerritz
 

What's hot (20)

Threat Intelligence Field of Dreams
Threat Intelligence Field of DreamsThreat Intelligence Field of Dreams
Threat Intelligence Field of Dreams
 
Applied Detection and Analysis Using Flow Data - MIRCon 2014
Applied Detection and Analysis Using Flow Data - MIRCon 2014Applied Detection and Analysis Using Flow Data - MIRCon 2014
Applied Detection and Analysis Using Flow Data - MIRCon 2014
 
ANALYZE'15 - Bulk Malware Analysis at Scale
ANALYZE'15 - Bulk Malware Analysis at ScaleANALYZE'15 - Bulk Malware Analysis at Scale
ANALYZE'15 - Bulk Malware Analysis at Scale
 
How to Hunt for Lateral Movement on Your Network
How to Hunt for Lateral Movement on Your NetworkHow to Hunt for Lateral Movement on Your Network
How to Hunt for Lateral Movement on Your Network
 
Dynamic Population Discovery for Lateral Movement (Using Machine Learning)
Dynamic Population Discovery for Lateral Movement (Using Machine Learning)Dynamic Population Discovery for Lateral Movement (Using Machine Learning)
Dynamic Population Discovery for Lateral Movement (Using Machine Learning)
 
Applying Machine Learning to Network Security Monitoring - BayThreat 2013
Applying Machine Learning to Network Security Monitoring - BayThreat 2013Applying Machine Learning to Network Security Monitoring - BayThreat 2013
Applying Machine Learning to Network Security Monitoring - BayThreat 2013
 
Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting Automation
Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting AutomationBiting into the Jawbreaker: Pushing the Boundaries of Threat Hunting Automation
Biting into the Jawbreaker: Pushing the Boundaries of Threat Hunting Automation
 
Hunting on the cheap
Hunting on the cheapHunting on the cheap
Hunting on the cheap
 
Avoiding the Pitfalls of Hunting - BSides Charm 2016
Avoiding the Pitfalls of Hunting - BSides Charm 2016Avoiding the Pitfalls of Hunting - BSides Charm 2016
Avoiding the Pitfalls of Hunting - BSides Charm 2016
 
Blackhat 2018 - The New Pentest? Rise of the Compromise Assessment
Blackhat 2018 - The New Pentest? Rise of the Compromise AssessmentBlackhat 2018 - The New Pentest? Rise of the Compromise Assessment
Blackhat 2018 - The New Pentest? Rise of the Compromise Assessment
 
Hunting: Defense Against The Dark Arts v2
Hunting: Defense Against The Dark Arts v2Hunting: Defense Against The Dark Arts v2
Hunting: Defense Against The Dark Arts v2
 
MITRE AttACK framework it is time you took notice_v1.0
MITRE AttACK framework it is time you took notice_v1.0MITRE AttACK framework it is time you took notice_v1.0
MITRE AttACK framework it is time you took notice_v1.0
 
Advances in cloud scale machine learning for cyber-defense
Advances in cloud scale machine learning for cyber-defenseAdvances in cloud scale machine learning for cyber-defense
Advances in cloud scale machine learning for cyber-defense
 
Defcon Crypto Village - OPSEC Concerns in Using Crypto
Defcon Crypto Village - OPSEC Concerns in Using CryptoDefcon Crypto Village - OPSEC Concerns in Using Crypto
Defcon Crypto Village - OPSEC Concerns in Using Crypto
 
Treat Detection using Hadoop
Treat Detection using HadoopTreat Detection using Hadoop
Treat Detection using Hadoop
 
Hunting: Defense Against The Dark Arts
Hunting: Defense Against The Dark ArtsHunting: Defense Against The Dark Arts
Hunting: Defense Against The Dark Arts
 
Creating Your Own Threat Intel Through Hunting & Visualization
Creating Your Own Threat Intel Through Hunting & VisualizationCreating Your Own Threat Intel Through Hunting & Visualization
Creating Your Own Threat Intel Through Hunting & Visualization
 
Helping Small Companies Leverage CTI with an Open Source Threat Mapping
Helping Small Companies Leverage CTI with an Open Source Threat MappingHelping Small Companies Leverage CTI with an Open Source Threat Mapping
Helping Small Companies Leverage CTI with an Open Source Threat Mapping
 
HITCON 2015 - DGAs, DNS and Threat Intelligence
HITCON 2015 - DGAs, DNS and Threat IntelligenceHITCON 2015 - DGAs, DNS and Threat Intelligence
HITCON 2015 - DGAs, DNS and Threat Intelligence
 
Incident Response for the Work-from-home Workforce
Incident Response for the Work-from-home WorkforceIncident Response for the Work-from-home Workforce
Incident Response for the Work-from-home Workforce
 

Similar to Billions & Billions of Logs

Intro2 malwareanalysisshort
Intro2 malwareanalysisshortIntro2 malwareanalysisshort
Intro2 malwareanalysisshortVincent Ohprecio
 
Andrew and Zac RVA-Beyond-Automated-Testing-2016.ppt
Andrew and Zac RVA-Beyond-Automated-Testing-2016.pptAndrew and Zac RVA-Beyond-Automated-Testing-2016.ppt
Andrew and Zac RVA-Beyond-Automated-Testing-2016.pptBUSHRASHAIKH804312
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFMichael Gough
 
Beyond Automated Testing - RVAsec 2016
Beyond Automated Testing - RVAsec 2016Beyond Automated Testing - RVAsec 2016
Beyond Automated Testing - RVAsec 2016Andrew McNicol
 
Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5
Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5
Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5sixdub
 
Hunting the Evil of your Infrastructure
Hunting the Evil of your InfrastructureHunting the Evil of your Infrastructure
Hunting the Evil of your InfrastructureA. S. M. Shamim Reza
 
Email Security 101 – A Practical Guide For Every Business
 Email Security 101 – A Practical Guide For Every Business Email Security 101 – A Practical Guide For Every Business
Email Security 101 – A Practical Guide For Every BusinessPECB
 
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008Anton Chuvakin
 
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008guestc0c304
 
Threat Hunting with Splunk
Threat Hunting with SplunkThreat Hunting with Splunk
Threat Hunting with SplunkSplunk
 
Fluturas presentation @ Big Data Conclave
Fluturas presentation @ Big Data ConclaveFluturas presentation @ Big Data Conclave
Fluturas presentation @ Big Data Conclavefluturads
 
SplunkLive! Stockholm 2015 breakout - Analytics based security
SplunkLive! Stockholm 2015 breakout - Analytics based securitySplunkLive! Stockholm 2015 breakout - Analytics based security
SplunkLive! Stockholm 2015 breakout - Analytics based securitySplunk
 
Logs for Information Assurance and Forensics @ USMA
Logs for Information Assurance and Forensics @ USMALogs for Information Assurance and Forensics @ USMA
Logs for Information Assurance and Forensics @ USMAAnton Chuvakin
 
Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2
Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2
Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2Damir Delija
 
Threat Hunting with Splunk
Threat Hunting with SplunkThreat Hunting with Splunk
Threat Hunting with SplunkSplunk
 
(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...
(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...
(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...Priyanka Aash
 
MITRE_ATTACK_Enterprise_11x17.pdf
MITRE_ATTACK_Enterprise_11x17.pdfMITRE_ATTACK_Enterprise_11x17.pdf
MITRE_ATTACK_Enterprise_11x17.pdfAisyiFree
 
Ceh certified ethical hacker
Ceh   certified ethical hackerCeh   certified ethical hacker
Ceh certified ethical hackerbestip
 
Threat hunting != Throwing arrow! Hunting for adversaries in your it environment
Threat hunting != Throwing arrow! Hunting for adversaries in your it environmentThreat hunting != Throwing arrow! Hunting for adversaries in your it environment
Threat hunting != Throwing arrow! Hunting for adversaries in your it environmentNahidul Kibria
 

Similar to Billions & Billions of Logs (20)

Intro2 malwareanalysisshort
Intro2 malwareanalysisshortIntro2 malwareanalysisshort
Intro2 malwareanalysisshort
 
Andrew and Zac RVA-Beyond-Automated-Testing-2016.ppt
Andrew and Zac RVA-Beyond-Automated-Testing-2016.pptAndrew and Zac RVA-Beyond-Automated-Testing-2016.ppt
Andrew and Zac RVA-Beyond-Automated-Testing-2016.ppt
 
All These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDFAll These Sophisticated Attacks, Can We Really Detect Them - PDF
All These Sophisticated Attacks, Can We Really Detect Them - PDF
 
Beyond Automated Testing - RVAsec 2016
Beyond Automated Testing - RVAsec 2016Beyond Automated Testing - RVAsec 2016
Beyond Automated Testing - RVAsec 2016
 
Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5
Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5
Abusing "Accepted Risk" With 3rd Party C2 - HackMiamiCon5
 
Hunting the Evil of your Infrastructure
Hunting the Evil of your InfrastructureHunting the Evil of your Infrastructure
Hunting the Evil of your Infrastructure
 
Email Security 101 – A Practical Guide For Every Business
 Email Security 101 – A Practical Guide For Every Business Email Security 101 – A Practical Guide For Every Business
Email Security 101 – A Practical Guide For Every Business
 
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
 
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
Logs for Incident Response and Forensics: Key Issues for GOVCERT.NL 2008
 
Threat Hunting with Splunk
Threat Hunting with SplunkThreat Hunting with Splunk
Threat Hunting with Splunk
 
Fluturas presentation @ Big Data Conclave
Fluturas presentation @ Big Data ConclaveFluturas presentation @ Big Data Conclave
Fluturas presentation @ Big Data Conclave
 
SplunkLive! Stockholm 2015 breakout - Analytics based security
SplunkLive! Stockholm 2015 breakout - Analytics based securitySplunkLive! Stockholm 2015 breakout - Analytics based security
SplunkLive! Stockholm 2015 breakout - Analytics based security
 
Logs for Information Assurance and Forensics @ USMA
Logs for Information Assurance and Forensics @ USMALogs for Information Assurance and Forensics @ USMA
Logs for Information Assurance and Forensics @ USMA
 
Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2
Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2
Encase cybersecurity alat za proaktivnu kontrolu korporativne it sigurnosti 2
 
Threat Hunting with Splunk
Threat Hunting with SplunkThreat Hunting with Splunk
Threat Hunting with Splunk
 
(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...
(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...
(SACON) Wasim Halani & Arpan Raval - Practical Threat Hunting - Developing an...
 
MITRE_ATTACK_Enterprise_11x17.pdf
MITRE_ATTACK_Enterprise_11x17.pdfMITRE_ATTACK_Enterprise_11x17.pdf
MITRE_ATTACK_Enterprise_11x17.pdf
 
Ceh certified ethical hacker
Ceh   certified ethical hackerCeh   certified ethical hacker
Ceh certified ethical hacker
 
Threat hunting != Throwing arrow! Hunting for adversaries in your it environment
Threat hunting != Throwing arrow! Hunting for adversaries in your it environmentThreat hunting != Throwing arrow! Hunting for adversaries in your it environment
Threat hunting != Throwing arrow! Hunting for adversaries in your it environment
 
Power of logs: practices for network security
Power of logs: practices for network securityPower of logs: practices for network security
Power of logs: practices for network security
 

Recently uploaded

Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityWSO2
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 

Recently uploaded (20)

Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 

Billions & Billions of Logs