This document discusses digital identity from a consumer perspective. It outlines what consumers want from digital identity, including simplicity, speed, anonymity when possible, and ability to work both online and offline. It provides examples of how digital identity could enable common transactions like buying items, collecting packages, banking, witnessing events, and proving ownership of things. The document argues that both people and objects will need digital identities to fully realize the benefits, and that current solutions have not yet met consumer needs and integrated online and offline experiences seamlessly.
Iron Bastion: Preventing business email compromise fraud at your firmGabor Szathmari
This document provides a summary of best practices for protecting against business email compromise (BEC) fraud. It begins by defining BEC fraud, noting that it involves impersonating employees or vendors over email in order to redirect payments. It then explains that BEC fraud is a global and lucrative criminal enterprise, as cybercrime now generates over $1.5 trillion annually. The document recommends implementing controls like multi-factor authentication, formalizing payment processes, employee training, and technology solutions to help prevent and detect BEC fraud. It concludes by advising organizations that experience BEC fraud to activate an incident response plan and report the incident as required to relevant authorities.
No matter how the trial turns out, we are interested in knowing the extent to which assets on the blockchain are really private or totally transparent to those with the right tools. Does crypto tracing work and could that cause problems for you?
https://youtu.be/euoDADYsl58
This document discusses bitcoin tracing services that can help recover digital assets like bitcoin that have been stolen through scams. It notes that while contacting authorities is often not helpful, some bitcoin tracing companies employ experts who can break blockchains and work to recover stolen cryptocurrency. However, using such services comes at a cost, and there is no guarantee they will be able to recover the assets. Overall, the document evaluates the pros and cons of using bitcoin tracing companies to try to regain cryptocurrency lost to fraud.
Armour Intelligence: Actionable Intelligence explainedHelena Martin
Actionable Intelligence explained: A presentation to the LMA (Lloyd's Market Association) by Armour Intelligence, specialists in fraud detection and deterrence
Follow us:
http://www.linkedin.com/company/armour-intelligence/
https://twitter.com/ArmourIntel
www.armourintelligence.com
Cryptocurrency is a digital currency that uses cryptography to secure transactions made on a decentralized network. It allows for peer-to-peer transactions without an intermediary like a bank. The first cryptocurrency, Bitcoin, was created in 2008 by the pseudonymous Satoshi Nakamoto and used a blockchain system to record transactions. There are now over 1,000 cryptocurrencies in existence, with Bitcoin, Ethereum, and other "altcoins" being the most popular and valuable.
Self authentication – is it possible or plausible?Katina Michael
The document discusses self-authentication and biometrics. It notes that up to 50% of Australians are already in facial recognition databases through passports and driver's licenses. It explores moving from cards and magnetic strips to contactless payments using phones, watches, and potential implants. The document warns that as technology advances to identify people through biometrics like facial recognition, it could infringe on privacy and enable constant monitoring or "uberveillance" of individuals, with consequences for human rights. It predicts the development of a universal unique lifetime identifier for every person linked to biometrics and blockchain technology.
This document discusses digital identity from a consumer perspective. It outlines what consumers want from digital identity, including simplicity, speed, anonymity when possible, and ability to work both online and offline. It provides examples of how digital identity could enable common transactions like buying items, collecting packages, banking, witnessing events, and proving ownership of things. The document argues that both people and objects will need digital identities to fully realize the benefits, and that current solutions have not yet met consumer needs and integrated online and offline experiences seamlessly.
Iron Bastion: Preventing business email compromise fraud at your firmGabor Szathmari
This document provides a summary of best practices for protecting against business email compromise (BEC) fraud. It begins by defining BEC fraud, noting that it involves impersonating employees or vendors over email in order to redirect payments. It then explains that BEC fraud is a global and lucrative criminal enterprise, as cybercrime now generates over $1.5 trillion annually. The document recommends implementing controls like multi-factor authentication, formalizing payment processes, employee training, and technology solutions to help prevent and detect BEC fraud. It concludes by advising organizations that experience BEC fraud to activate an incident response plan and report the incident as required to relevant authorities.
No matter how the trial turns out, we are interested in knowing the extent to which assets on the blockchain are really private or totally transparent to those with the right tools. Does crypto tracing work and could that cause problems for you?
https://youtu.be/euoDADYsl58
This document discusses bitcoin tracing services that can help recover digital assets like bitcoin that have been stolen through scams. It notes that while contacting authorities is often not helpful, some bitcoin tracing companies employ experts who can break blockchains and work to recover stolen cryptocurrency. However, using such services comes at a cost, and there is no guarantee they will be able to recover the assets. Overall, the document evaluates the pros and cons of using bitcoin tracing companies to try to regain cryptocurrency lost to fraud.
Armour Intelligence: Actionable Intelligence explainedHelena Martin
Actionable Intelligence explained: A presentation to the LMA (Lloyd's Market Association) by Armour Intelligence, specialists in fraud detection and deterrence
Follow us:
http://www.linkedin.com/company/armour-intelligence/
https://twitter.com/ArmourIntel
www.armourintelligence.com
Cryptocurrency is a digital currency that uses cryptography to secure transactions made on a decentralized network. It allows for peer-to-peer transactions without an intermediary like a bank. The first cryptocurrency, Bitcoin, was created in 2008 by the pseudonymous Satoshi Nakamoto and used a blockchain system to record transactions. There are now over 1,000 cryptocurrencies in existence, with Bitcoin, Ethereum, and other "altcoins" being the most popular and valuable.
Self authentication – is it possible or plausible?Katina Michael
The document discusses self-authentication and biometrics. It notes that up to 50% of Australians are already in facial recognition databases through passports and driver's licenses. It explores moving from cards and magnetic strips to contactless payments using phones, watches, and potential implants. The document warns that as technology advances to identify people through biometrics like facial recognition, it could infringe on privacy and enable constant monitoring or "uberveillance" of individuals, with consequences for human rights. It predicts the development of a universal unique lifetime identifier for every person linked to biometrics and blockchain technology.
Bitcoin is a decentralized digital currency that is not controlled by any single entity; the document provides an introduction to Bitcoin including what it is, common misconceptions, how to obtain, use and secure Bitcoin, as well as an overview of how Bitcoin transactions work at a technical level using public/private keys and blockchain technology. The presentation also discusses Bitcoin services for merchants including Coinvoice which allows invoicing in Bitcoin and automatic payouts in BTC or fiat currency.
Cyber security is defending people, data, systems, programs, networks and mobiles from digital attacks. The document discusses why cyber security is important for both personal and business reasons. Cybercrime resulted in $1.5 trillion in revenues in 2018 according to FBI stats. For businesses, cyber attacks can result in costs from business interruption, loss of reputation, non-compliance penalties and changing privacy laws. Both businesses and individuals are encouraged to practice cyber safety by using protection solutions, avoiding clicking on suspicious links, and regularly changing passwords.
1) Digital channels are shifting how businesses balance customer experience and fraud prevention, with new data sources and decision models emerging.
2) Fraud prevention platforms use multiple checks such as device identification, location data, and biometrics to verify identities while providing a seamless customer experience.
3) Digital identity verification companies aim to allow users to prove their identity once and then reuse that verification for other purposes, reducing friction compared to knowledge-based authentication or storing documents, while still effectively addressing identity fraud risks.
Anti-Fraud and eDiscovery using Graph Databases and Graph Visualization - Cor...Neo4j
Investigating fraud often involves identifying suspicious patterns among mountains of uninteresting transactional data. A new partnership between Neo Technologies and Cambridge Intelligence allows fraud investigators and data analysts to uncover these patters far more easily. By combining the power of Neo4j's graph database and the visualization capabilities of KeyLines, a web-based graph visualization engine tightly integrated with Neo4j's data model, these investigators and analysts can visually drill down from aggregate data to the individual suspicious data elements quickly and without requiring significant technical expertise in query languages. This presentation will summarize the Neo Technology and Cambridge Intelligence partnership, discuss the technical integration between the two products, and demonstrate a number of different scenarios of uncovering fraud across multiple domains and data types.
Cyber Crime awareness series is for the public to facilitate recovery of identity theft and bring general awareness to the public and mitigate the risks associated with identity theft. Don't Become a Victim - Raise Your Shield.
Identity Theft: Fallout, Investigation, and Preventionfmi_igf
This document summarizes a panel discussion on identity theft held by the Financial Management Institute. The panel discussed Jennifer Fiddian-Green's experience becoming a victim of mortgage fraud, where criminals took out loans in her name for two properties totaling $494,060. Detective Ian Nichol discussed how identity theft is usually a group effort involving brokers obtaining personal information, forgers, and money laundering. He noted recent identity theft investigations against criminal organizations in Canada. The panel aimed to educate attendees on preventing identity theft and the fallout of becoming a victim.
Identity theft involves someone stealing personal information such as names, addresses, social insurance numbers, credit card information, and other details to pretend to be someone else, often to access bank accounts, apply for loans or credit cards, make purchases, or hide criminal activities. Common signs of identity theft include unfamiliar accounts or transactions, credit denials, or missing money. If identity theft is suspected, one should report it to the police, notify banks and credit agencies, and monitor credit reports for fraud. Preventative measures include keeping information private, using passwords, not sharing devices on public WiFi, and reporting theft promptly. Identity theft increased 13% in 2011 compared to 2010, likely due to increased smartphone and social media use providing more opportunities for
The document discusses identity verification for regulated transactions. It begins by outlining what drives the need for e-identity, noting that identity is required when people want to conduct transactions like buying, selling, or receiving goods and services online. It then examines different regulatory approaches to identity verification in several jurisdictions. Specifically, it analyzes how identity is identified and verified remotely in the EU, South Korea, Hong Kong, Singapore, and Australia. The document concludes by discussing private sectors that require identity verification, and different methods for establishing identity, including using physical documents, static electronic databases, and dynamic electronic verification through transactions.
How to protect your clients and your law firm from money transfer scamsGabor Szathmari
This document outlines how cybercriminals target legal practices and describes money transfer scams. It discusses how payment redirection fraud works in two phases by collecting passwords through phishing or data breaches, then using those credentials to change payment instructions. The document provides five steps to protect legal practices: implementing email spoofing protections, using two-factor authentication, better antivirus software, browser extensions, and enterprise security solutions. It concludes by suggesting resources for legal practices to get help, such as the Law Council of Australia and Lawcover.
The document announces a national level webinar organized by the PG & Research Department of Computer Applications from June 21-24, 2020 on the topics of IoT applications and machine learning. The webinar schedule includes presentations on blockchain overview, cryptocurrencies like Bitcoin, how blockchain works using hashing and consensus, different types of blockchain (public and private), applications of blockchain, and benefits and challenges. The contact information provided is for the speaker M. Vivek Anand from Galgotias University.
The document discusses how sensitive data can potentially be obtained without hacking by purchasing old hardware, exploring unsecured photo sharing sites and FTP servers, and finding data publicly exposed online. Specific examples are given of obtaining credit card numbers, social security numbers, login credentials and other private information from old hard drives, photo albums mistakenly made public, and anonymous FTP servers misconfigured with sensitive files. The author warns that while this demonstrates security issues, it should not be used for illegal purposes and some data was obfuscated or owners notified.
Fingerprinting has been used for identification purposes for centuries. Key developments include the first fingerprint classification system in 1901 and the FBI consolidating fingerprint files in 1924. Fingerprints are analyzed by examining ridges and patterns like loops and whorls. Fingerprinting is used widely in law enforcement, border control, and commercial applications like mobile phone unlocking. Biometrics using fingerprints and other identifiers has many applications and the market is growing significantly with advances in speed, accuracy and integration in various technologies.
7 tips for using behavioural data - 2022.pdfRay Poynter
This document provides 7 tips for using behavioral data:
1. Consider what data is included and what is missed to understand coverage.
2. Define the level of granularity in the data such as whether it represents individuals or households.
3. Recognize that not engaging in an activity does not mean it is not wanted, and doing something regularly does not mean people want to continue.
4. Establishing causality from behavioral data alone can be difficult and experiments may be needed.
Cybercrime and the Developer: How to Start Defending Against the Darker Side...Steve Poole
JavaOne 2016 Talk
In the world of DevOps and the cloud, most developers have to learn new technologies and methodologies. The focus tends to be on adding capabilities such as resilience and scaling to an application. One critical aspect consistently overlooked is security. In this session, learn about a few of the simple actions you can take (and some behaviors you must change) to create a more secure Java application for the cloud. The world of the cybercriminal is closer than you realize. Hear how at risk your application may be, see practical examples of how you can inadvertently leave the doors open, and understand what you can do to make your Java solution more secure.
The Identity Theft Checklist – Guidance for the general public.nz- Mark - Fullbright
All product and company names mentioned herein are for identification and educational purposes only and are the property of, and may be trademarks of, their respective owners.
Presented during the Open Source Conference 2012, organized by Accenture and Redhat on December 14th 2012. This presentation discusses Identity Analytics.
By Cyrille Bataller, Managing Director, Accenture Technology Labs
This document discusses how Neo4j can be used for fraud detection by analyzing transaction data as a graph. It begins by describing common types of fraud and fraudsters. Traditional fraud detection uses discrete, endpoint-centric analysis but has weaknesses in detecting complex fraud patterns. Neo4j allows for connected analysis of relationships that can reveal fraud rings and other complex patterns in real-time. The document demonstrates Neo4j's fraud detection capabilities with a live transaction graph demo and discusses how Neo4j fits into a typical fraud detection architecture by providing a 360-degree view of relationships across different data sources.
The Neo4j graph database is the fastest growing database engine in the market and has hundreds of customer references across Europe and globally, solving significant technology problems for large Enterprises in Finance, Telco, Retail, Utilities, Logistics and Internet sectors. Typical use cases are Recommendations, Fraud Detection, MDM, Network and Software Analysis and Optimization, Identity and Access Management.
moncon is a paywall for content creators. After talking with several publishers and creators, we came up with the idea to build the easiest and fastest content paywall. With moncon, content creators can easily "block" their content.
More info: https://moncon.co
Unlocking Any Door In The 21st Century. Immersion In Biometric Security.Payment Village
The future is here! Adding "AI" to the device description will surely increase its price. But what about security? We looked at three biometric authentication systems equipped with machine-learning features. How much ML and security are actually there? What new threats does the "AI" buzzword on the box bring? Is there any difference between $100 and $1,000 devices? One of the collateral AI risks we were hunting for is data privacy. And yes, we confirmed the emerging threat to customer data within these and similar devices. To actually try and hack ML engines, we had to use various creative techniques to bypass liveness checks and automate our ML attacks. One of these attacks aimed to create and print a "universal synthetic face" that could bypass authentication mechanisms. This presentation will be a source of inspiration for ML hackers, physical pentesters, appsec, hardware security engineers, and, of course, futurists writing about emerging technologies and threats.
We interact with payments every day. Yet how many of us actually know how they work? Join us to learn about payments and techniques for spotting vulnerabilities in them.
This is a "payments 101" training course covering vulnerability research in payments and related issues and attacks.
The main goal of this course is to break the status quo of payment insecurity. We help our audience to gain a better understanding to:
Find vulnerabilities in payment systems while staying within the law
Obtain necessary skills and equipment - Learn from the best in the industry—and leave with your wallet a little lighter.
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Similar to How I opened a fake bank account and didn't go to prison
Bitcoin is a decentralized digital currency that is not controlled by any single entity; the document provides an introduction to Bitcoin including what it is, common misconceptions, how to obtain, use and secure Bitcoin, as well as an overview of how Bitcoin transactions work at a technical level using public/private keys and blockchain technology. The presentation also discusses Bitcoin services for merchants including Coinvoice which allows invoicing in Bitcoin and automatic payouts in BTC or fiat currency.
Cyber security is defending people, data, systems, programs, networks and mobiles from digital attacks. The document discusses why cyber security is important for both personal and business reasons. Cybercrime resulted in $1.5 trillion in revenues in 2018 according to FBI stats. For businesses, cyber attacks can result in costs from business interruption, loss of reputation, non-compliance penalties and changing privacy laws. Both businesses and individuals are encouraged to practice cyber safety by using protection solutions, avoiding clicking on suspicious links, and regularly changing passwords.
1) Digital channels are shifting how businesses balance customer experience and fraud prevention, with new data sources and decision models emerging.
2) Fraud prevention platforms use multiple checks such as device identification, location data, and biometrics to verify identities while providing a seamless customer experience.
3) Digital identity verification companies aim to allow users to prove their identity once and then reuse that verification for other purposes, reducing friction compared to knowledge-based authentication or storing documents, while still effectively addressing identity fraud risks.
Anti-Fraud and eDiscovery using Graph Databases and Graph Visualization - Cor...Neo4j
Investigating fraud often involves identifying suspicious patterns among mountains of uninteresting transactional data. A new partnership between Neo Technologies and Cambridge Intelligence allows fraud investigators and data analysts to uncover these patters far more easily. By combining the power of Neo4j's graph database and the visualization capabilities of KeyLines, a web-based graph visualization engine tightly integrated with Neo4j's data model, these investigators and analysts can visually drill down from aggregate data to the individual suspicious data elements quickly and without requiring significant technical expertise in query languages. This presentation will summarize the Neo Technology and Cambridge Intelligence partnership, discuss the technical integration between the two products, and demonstrate a number of different scenarios of uncovering fraud across multiple domains and data types.
Cyber Crime awareness series is for the public to facilitate recovery of identity theft and bring general awareness to the public and mitigate the risks associated with identity theft. Don't Become a Victim - Raise Your Shield.
Identity Theft: Fallout, Investigation, and Preventionfmi_igf
This document summarizes a panel discussion on identity theft held by the Financial Management Institute. The panel discussed Jennifer Fiddian-Green's experience becoming a victim of mortgage fraud, where criminals took out loans in her name for two properties totaling $494,060. Detective Ian Nichol discussed how identity theft is usually a group effort involving brokers obtaining personal information, forgers, and money laundering. He noted recent identity theft investigations against criminal organizations in Canada. The panel aimed to educate attendees on preventing identity theft and the fallout of becoming a victim.
Identity theft involves someone stealing personal information such as names, addresses, social insurance numbers, credit card information, and other details to pretend to be someone else, often to access bank accounts, apply for loans or credit cards, make purchases, or hide criminal activities. Common signs of identity theft include unfamiliar accounts or transactions, credit denials, or missing money. If identity theft is suspected, one should report it to the police, notify banks and credit agencies, and monitor credit reports for fraud. Preventative measures include keeping information private, using passwords, not sharing devices on public WiFi, and reporting theft promptly. Identity theft increased 13% in 2011 compared to 2010, likely due to increased smartphone and social media use providing more opportunities for
The document discusses identity verification for regulated transactions. It begins by outlining what drives the need for e-identity, noting that identity is required when people want to conduct transactions like buying, selling, or receiving goods and services online. It then examines different regulatory approaches to identity verification in several jurisdictions. Specifically, it analyzes how identity is identified and verified remotely in the EU, South Korea, Hong Kong, Singapore, and Australia. The document concludes by discussing private sectors that require identity verification, and different methods for establishing identity, including using physical documents, static electronic databases, and dynamic electronic verification through transactions.
How to protect your clients and your law firm from money transfer scamsGabor Szathmari
This document outlines how cybercriminals target legal practices and describes money transfer scams. It discusses how payment redirection fraud works in two phases by collecting passwords through phishing or data breaches, then using those credentials to change payment instructions. The document provides five steps to protect legal practices: implementing email spoofing protections, using two-factor authentication, better antivirus software, browser extensions, and enterprise security solutions. It concludes by suggesting resources for legal practices to get help, such as the Law Council of Australia and Lawcover.
The document announces a national level webinar organized by the PG & Research Department of Computer Applications from June 21-24, 2020 on the topics of IoT applications and machine learning. The webinar schedule includes presentations on blockchain overview, cryptocurrencies like Bitcoin, how blockchain works using hashing and consensus, different types of blockchain (public and private), applications of blockchain, and benefits and challenges. The contact information provided is for the speaker M. Vivek Anand from Galgotias University.
The document discusses how sensitive data can potentially be obtained without hacking by purchasing old hardware, exploring unsecured photo sharing sites and FTP servers, and finding data publicly exposed online. Specific examples are given of obtaining credit card numbers, social security numbers, login credentials and other private information from old hard drives, photo albums mistakenly made public, and anonymous FTP servers misconfigured with sensitive files. The author warns that while this demonstrates security issues, it should not be used for illegal purposes and some data was obfuscated or owners notified.
Fingerprinting has been used for identification purposes for centuries. Key developments include the first fingerprint classification system in 1901 and the FBI consolidating fingerprint files in 1924. Fingerprints are analyzed by examining ridges and patterns like loops and whorls. Fingerprinting is used widely in law enforcement, border control, and commercial applications like mobile phone unlocking. Biometrics using fingerprints and other identifiers has many applications and the market is growing significantly with advances in speed, accuracy and integration in various technologies.
7 tips for using behavioural data - 2022.pdfRay Poynter
This document provides 7 tips for using behavioral data:
1. Consider what data is included and what is missed to understand coverage.
2. Define the level of granularity in the data such as whether it represents individuals or households.
3. Recognize that not engaging in an activity does not mean it is not wanted, and doing something regularly does not mean people want to continue.
4. Establishing causality from behavioral data alone can be difficult and experiments may be needed.
Cybercrime and the Developer: How to Start Defending Against the Darker Side...Steve Poole
JavaOne 2016 Talk
In the world of DevOps and the cloud, most developers have to learn new technologies and methodologies. The focus tends to be on adding capabilities such as resilience and scaling to an application. One critical aspect consistently overlooked is security. In this session, learn about a few of the simple actions you can take (and some behaviors you must change) to create a more secure Java application for the cloud. The world of the cybercriminal is closer than you realize. Hear how at risk your application may be, see practical examples of how you can inadvertently leave the doors open, and understand what you can do to make your Java solution more secure.
The Identity Theft Checklist – Guidance for the general public.nz- Mark - Fullbright
All product and company names mentioned herein are for identification and educational purposes only and are the property of, and may be trademarks of, their respective owners.
Presented during the Open Source Conference 2012, organized by Accenture and Redhat on December 14th 2012. This presentation discusses Identity Analytics.
By Cyrille Bataller, Managing Director, Accenture Technology Labs
This document discusses how Neo4j can be used for fraud detection by analyzing transaction data as a graph. It begins by describing common types of fraud and fraudsters. Traditional fraud detection uses discrete, endpoint-centric analysis but has weaknesses in detecting complex fraud patterns. Neo4j allows for connected analysis of relationships that can reveal fraud rings and other complex patterns in real-time. The document demonstrates Neo4j's fraud detection capabilities with a live transaction graph demo and discusses how Neo4j fits into a typical fraud detection architecture by providing a 360-degree view of relationships across different data sources.
The Neo4j graph database is the fastest growing database engine in the market and has hundreds of customer references across Europe and globally, solving significant technology problems for large Enterprises in Finance, Telco, Retail, Utilities, Logistics and Internet sectors. Typical use cases are Recommendations, Fraud Detection, MDM, Network and Software Analysis and Optimization, Identity and Access Management.
moncon is a paywall for content creators. After talking with several publishers and creators, we came up with the idea to build the easiest and fastest content paywall. With moncon, content creators can easily "block" their content.
More info: https://moncon.co
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The future is here! Adding "AI" to the device description will surely increase its price. But what about security? We looked at three biometric authentication systems equipped with machine-learning features. How much ML and security are actually there? What new threats does the "AI" buzzword on the box bring? Is there any difference between $100 and $1,000 devices? One of the collateral AI risks we were hunting for is data privacy. And yes, we confirmed the emerging threat to customer data within these and similar devices. To actually try and hack ML engines, we had to use various creative techniques to bypass liveness checks and automate our ML attacks. One of these attacks aimed to create and print a "universal synthetic face" that could bypass authentication mechanisms. This presentation will be a source of inspiration for ML hackers, physical pentesters, appsec, hardware security engineers, and, of course, futurists writing about emerging technologies and threats.
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The main goal of this course is to break the status quo of payment insecurity. We help our audience to gain a better understanding to:
Find vulnerabilities in payment systems while staying within the law
Obtain necessary skills and equipment - Learn from the best in the industry—and leave with your wallet a little lighter.
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Watch the video recording at https://youtu.be/5vjwGfPN9lw
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https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
11. How you would have assumed KYC
works
• API for the Driving License and IDs checking
• Collaboration between GOVs (EU, USA, North Korea?)
12. How KYC actually works
• Liveness check (live capture from the phone, no
photos)
• OCR data extraction
• “No visual tampering”, e.g. playing with
channels
• Proof that the photos were not modified
• Black-lists
• Social media checks
13. Progressive KYC
• DOB, Address, no actual documents – <£100
• One document (some ID) – <£1,000
• Another document (proof of address) – >£1,000
• Video instead of photo – any suspicions that the
photos are not real
• Live interaction – scrutinize the documents, e.g.
check the hologram
16. How fraudsters bypass KYC
0. Have an agreement in place with the fintech you
are trying to fool
1. Photoshop
2. Getting rid of tampering evidence
3. Fake “plastic” that is suitable for video
4. Fake holograms
5. Stolen addresses, names, IDs – helpful but not
mandatory
31. Convenience vs security
• DOB, Address, no actual documents – <£100
• One document – <£1,000 <- Should be Level 1
• Another document – >£1,000
• Video instead of photo
• Live interaction
• Endpoint anomaly detection (e.g. Biotech)
• Share data between KYC providers, GOVs, etc
Editor's Notes
There are a few major activities on the dark market related to stolen cards. The most popular one – is selling card details for online purchases. This is a dying market. But still there are hundreds of stores with hundreds of thousands of stolen cards.
Another one – selling white plastic
Add target
Back in the day hackers were even able to clone EMV cards due to their imperfect security. But this would have worked only for offline terminals. These days offline terminals and places where they are operating are numbered.
Another slightly less popular type of business – is selling EMPTY current accounts or real physical cards. So we decided to look a bit into how these are working
People offer you photos of the cardowners, their documents, real cards, login, email, password and will deliver these literally anywhere in the world.
Guys from antifraud industry claim that you can go to prison for sending BTC to guys on the DM. For supporting terrorism, porn tycoons.
We were also not sure how many of these Ads is a pure scam.
I am representing the blackhat guy
Who am I
Definitions: aml, kyc
PS: everything that has been done is completely legal
Need a screenshot of the dashboard with OCR recognition
So how fraudsters bypass KYC? The answer is very simple – photoshop!
So that was our plan what to do and how to test our theories. about 1.5 years ago I agreed with one fintech company to show weaknesses of their KYC system.
First of all, we need some formal agreement with
Then you need photoshop
Step 1 – photoshop. Here’s my driving licence
Unfortunately not all my attempts were successful. Sometimes you got blocked.
Some services check metatags and strings, some – don’t do even that.