Schneier on Security

FEBRUARY 3, 2022

Despite public reckoning over mass surveillance, NSA famously faces the challenge of collecting such extreme quantities of data that, on top of legal and ethical problems, it can be nearly impossible to sift through all of it to find everything of value. The field of data science aims to solve them.

Big data 110

Big data Data science Mining Access 110

IBM Big Data Hub

SEPTEMBER 20, 2022

Privacy: Are the right rules and policies in place for various people to access the data at different stages of the AI lifecycle? How do you accommodate for drifting data patterns? Comprehensive, trusted data sets. First things first: you need access and insight into all relevant data. Is it scalable?

Data science 56

Data science Metadata Government Access 56

Collibra

OCTOBER 4, 2023

Federal agencies, federated by nature, with multiple components often working on independent but interconnected missions, can leverage the decentralized approach of data mesh to increase access to trusted quality data across the enterprise. Encourage teams to see the value in data and foster a sense of ownership.

Government 74

Government Data science Analytics Access 74

CGI

JULY 2, 2019

Considerations when buying managed security services. The trend for organizations of all shapes and sizes in buying managed security services continues to increase, and we’re seeing a rise in interest from all sectors. But with so many managed security service providers out there, how do you choose the right one for you?

Security 45

Security Artificial Intelligence Data science Cybersecurity 45

Krebs on Security

MAY 22, 2023

This email address is also connected to accounts on several Russian cybercrime forums, including “ __edman__ ,” who had a history of selling “logs” — large amounts of data stolen from many bot-infected computers — as well as giving away access to hacked Internet of Things (IoT) devices.

Data science 243

Data science IoT Manufacturing Sales 243

CGI

JANUARY 8, 2019

Considerations when buying managed security services. The trend towards organisations of all shapes and sizes buying managed security services continues to increase and we’re seeing the rise of interest from all sectors. But with so many managed security service providers out there, how do you choose the one that’s right for you?

Security 40

Security Artificial Intelligence Data science Compliance 40

Collibra

JUNE 27, 2023

Why Collibra Data Intelligence Cloud Collibra Data Intelligence Cloud enables educational institutions to build a data foundation that facilitates data discovery, improves data literacy, and drives collaboration.

Education 74

Education Cloud Digital transformation Data science 74

The Last Watchdog

JUNE 4, 2019

GCIS was a Davos-level conference with no vendors and no selling, where scores of chief security information officers (CISOs), top CEO’s, industry and government thought leaders and leading innovators discussed the myriad challenges in and around cybersecurity and possible solutions in today’s environment.

Cybersecurity 193

Cybersecurity Computer and Electronics Data science Marketing 193

Thales Cloud Protection & Licensing

NOVEMBER 19, 2018

As The 2018 Thales Global Data Threat Report notes, “The top Big Data security issue is that sensitive data can be anywhere – and therefore everywhere – a concern expressed by 34% of global and U.S. Moreover, encryption keys must be protected and managed in a trusted manner for security and compliance with regulations.

Big data 86

Big data Analytics Encryption Data science 86

Collibra

MAY 23, 2022

If you’re already sold on the importance of data democratization , you’re likely wondering how to get started with your data democratization strategy. How can you ensure that the right people can access the right data, at the right time? What is a data democratization strategy? Faster access to accurate data.

Education 84

Education Data science Access Libraries 84

Security Affairs

AUGUST 18, 2020

200 (Illegal actions with documents for transfer, payment cards and other means of access to bank accounts, electronic money, equipment for their production) and Part 2 of Article 209 (Legalization (laundering) of property obtained by criminal means) of the Criminal Code of Ukraine. .” ” reported the CoinTelegraph.

Computer and Electronics 105

Computer and Electronics Digital transformation Data science Blockchain 105

eSecurity Planet

JULY 16, 2021

Despite all the cybersecurity defenses in enterprises, the human element matters the most, as phishing attacks remain the top avenue of incursion, accounting for more than 85% of all breaches, according to the annual Verizon Data Breach Investigations Report. That’s where incident response software and services come in.

Analytics 104

Analytics Data science Cloud Artificial Intelligence 104

The Security Ledger

APRIL 16, 2021

As more and more online platforms open their doors to API-based access, do we need more rules and oversight of how APIs are used to prevent wanton abuse? » Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? And if it isn’t considered hacking…should it be? The post Episode 211: Scrapin’ ain’t.

IT 52

IT Data science Data Privacy Sales 52

eSecurity Planet

DECEMBER 15, 2022

Unlike most other AI research projects, ChatGPT has captivated the interest of ordinary people who do not have PhDs in data science. ChatGPT Security Threats. Phishing accounts for nearly 90% of malware attacks, according to HP Wolf Security research. In a week, the app gained more than one million users. The Future.

Cybersecurity 140

Cybersecurity Phishing Data science Blockchain 140

Collibra

JUNE 2, 2022

According to McKinsey (a global management consulting firm), strengthening data governance, data access, data quality, data security and interoperability is critical. Training data can fast become a problem without proper controls in place.

Government 52

Government Cloud Data science Metadata 52

The Last Watchdog

JUNE 28, 2018

The use of an additional form of authentication to protect the accessing of a sensitive digital system has come a long way over the past decade and a half. Related: Why data science is the key to securing networks. Related: Why data science is the key to securing networks.

Authentication 154

Authentication Digital transformation Cloud Data science 154

Reltio

NOVEMBER 9, 2020

These leaders are enabling this enterprise-wide transformation by investing in a connected data platform built on a multidomain master data management foundation that delivers a single source of truth for data in real-time at scale with secure API first access and connected graph to unlock the value of relationships.

Customer Experience 72

Customer Experience MDM Retail Data science 72

Collibra

APRIL 9, 2021

On that topic, I had the opportunity to speak on a webinar that brought together insurance data experts from Deloitte in the UK, and data and analytics leader Peter Jackson, who heads up group data sciences for Legal & General. Drivers for cloud adoption.

Insurance 59

Insurance Cloud Data science Analytics 59

Collibra

DECEMBER 19, 2023

For forward-looking organizations who want to leverage generative AI technologies, the success (or failure) of these efforts often hinges on the quality of the underlying data that fuels AI models. These tools can help in illustrating complex concepts like model bias, data privacy, and ethical AI in an accessible manner.

Government 52

Government Risk Compliance Privacy 52

Collibra

AUGUST 30, 2022

And unlike traditional data governance, adaptive data and analytics governance focuses on managing and organizing data and processes to enable collaboration and compliant access to produce insightful business-driving outcomes.

Analytics 52

Analytics Government Data science Compliance 52

eSecurity Planet

JULY 27, 2023

. “But tools that can extract insight from entirely new data sources and replace manual processes in ways that could not be done at scale before are very interesting.” ” Related: AI Will Save Security – And Eliminate Jobs Be Better Than Competitors There are many point solutions.

Cybersecurity 89

Cybersecurity Marketing Cloud Artificial Intelligence 89

Collibra

DECEMBER 22, 2022

We can’t see the complex data science and data engineering that’s driving these experiences. We don’t really have any way of knowing if the data is correct. However, data professionals know the challenge to drive data quality continues — as do the risks. But we take its reliability for granted. .

Analytics 52

Analytics Data science Government Marketing 52

IBM Big Data Hub

NOVEMBER 29, 2023

For instance, if a business prioritizes accuracy in generating synthetic data, the resulting output may inadvertently include too many personally identifiable attributes, thereby increasing the company’s privacy risk exposure unknowingly. Have control and robust protection Not all synthetic data use cases require privacy, but some do.

Privacy 86

Privacy Data Privacy Artificial Intelligence Risk 86

IBM Big Data Hub

MAY 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors.

Insurance 75

Insurance Risk Artificial Intelligence Government 75

eSecurity Planet

MAY 27, 2021

“The fundamental problem is that there is no consistent or accurate methodology to assess the security posture of an organization,” Snehal Antani, co-founder and CEO of Horizon3.AI, How secure is their architecture? Further reading: How Zero Trust Security Can Protect Against Ransomware. AI, told eSecurity Planet.

Insurance 128

Insurance Ransomware Risk Data science 128

IBM Big Data Hub

OCTOBER 3, 2022

And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. An AI system, especially one with such an impact on healthcare, must be fair, explainable, secure and transparent.

Risk 52

Risk Data science Insurance Cloud 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Reltio

JUNE 22, 2020

They believe in using customer data strategically. They are working together to bridge their customer data silos to create a company-wide customer data strategy. This is difficult to do without access to real-time, preference-rich, connected customer 360 profiles that include consent and communication preferences.

Retail 78

Retail MDM Customer Experience Analytics 78

IBM Big Data Hub

OCTOBER 16, 2023

It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data. Another benefit is responsible data sharing because it supports more users with self-service access to more data while ensuring security and compliance with governance and local policymakers.

Government 76

Government Risk Artificial Intelligence Metadata 76

IBM Big Data Hub

FEBRUARY 13, 2024

Organizations can fine-tune these models with specific data, nudging them towards outputs tailored to particular business needs. User-friendly interfaces and integration tools make them accessible even for non-technical folks. Teamwork: Assemble a team with expertise in AI, data science and your industry.

Artificial Intelligence 126

Artificial Intelligence Marketing Sales Communications 126

Reltio

MAY 12, 2020

Data innovators have a seat at the table in meetings where transformation discussions happen. They share their point-of-view about the strategic use of data in their company’s transformation. Do they currently have easy access to that data? How “fresh” is the data they are using? Think holistically.

Customer Experience 98

Customer Experience MDM Compliance Insurance 98

Reltio

DECEMBER 10, 2021

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability. Data quality thresholds and policies.

MDM 98

MDM Analytics Digital transformation Cloud 98

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 49

Marketing Data science e-Discovery Artificial Intelligence 49

Data Protection Report

APRIL 27, 2023

Although the potential issues associated with training data, bias, overfitting, etc. As noted, a key feature is the accessibility of the recently released large language models. Therefore, anything that your employees input could be retained and accessed by OpenAI staff or their subcontractors for these purposes.

Risk 97

Risk Personal data Privacy Data Privacy 97

IBM Big Data Hub

OCTOBER 16, 2023

For example, training data for a facial recognition algorithm that over-represents white people may create errors when attempting facial recognition for people of color. Similarly, security data that includes information gathered in geographic areas that are predominantly black could create racial bias in AI tools used by police.

Artificial Intelligence 75

Artificial Intelligence Government Data science Data collection 75

Collibra

JUNE 1, 2022

The foundation of a data-driven organization. Data is more valuable than ever. As a result, modern data professionals face this unavoidable challenge: How can I securely store and protect my organization’s data AND enable the organization to maximize its value? The key is adaptive data and analytics governance.

Analytics 76

Analytics Government Compliance Metadata 76

IBM Big Data Hub

NOVEMBER 8, 2023

Down to the core We’ve continued to innovate and invest in operating environments on IBM Power to help ensure business continuity, reliability, availability, serviceability and security for clients. Later this month, clients will be able to take advantage of expanded data science services with the release of IBM Cloud Pak for Data V4.8,

Cloud 99

Cloud Digital transformation Data science IT 99