CIO

JANUARY 20, 2023

By Anand Oswal, Senior Vice President and GM at cyber security leader Palo Alto Networks Connected medical devices, also known as the Internet of Medical Things or IoMT, are revolutionizing healthcare, not only from an operational standpoint but related to patient care. Many connected devices ship with inherent vulnerabilities.

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IoT Healthcare Compliance Journal 248

Palo Alto Networks

APRIL 2, 2024

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. As cybersecurity continuously evolves, so does the technology that powers it. staff researcher and Doren Rosen, Sr.

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Artificial Inteligence Weak Development Team Artificial Intelligence Technical Advisors 68

TechCrunch

APRIL 5, 2023

Several years ago, Jonathan Dambrot, a partner at KPMG, was helping customers deploy and develop AI systems when he started to notice certain gaps in compliance and security. According to him, no one could explain whether their AI was secure — or even who was responsible for ensuring that. What threats, you ask?

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Compliance Machine Learning Artificial Inteligence Training 188

Infinidat

MARCH 7, 2024

Cybersecurity Regulations and Reporting in USA and EU Adriana Andronescu Thu, 03/07/2024 - 05:28 In 2024, businesses are coming under tighter compliance and cybersecurity reporting by government bodies in both the USA and EU countries. added to the 8-K, to disclose any cybersecurity incident. There is a new item 1.05

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Report Malware Storage Machine Learning 67

AWS Machine Learning - AI

APRIL 16, 2024

They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output. At AWS, our top priority is safeguarding the security and confidentiality of our customers’ workloads.

Generative AI 112

Generative AI AWS Artificial Inteligence Artificial Intelligence 112

O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. ML security audits. Not least is the broadening realization that ML models can fail.

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Machine Learning Artificial Inteligence Technical Review Analysis 192

Lacework

NOVEMBER 27, 2023

As we embrace these new advanced generative tools, securing already complex multicloud environments becomes even more critical. Today, cybersecurity experts are highly sought after with employers finding it increasingly difficult to hire professionals with the necessary cybersecurity skills and experience.

Security 125

Security Generative AI Artificial Inteligence Technology 125

CIO

FEBRUARY 5, 2024

Mohamed Salah Abdel Hamid Abdel Razek, Senior Executive Vice President and Group Head of Tech, Transformation & Information, Mashreq explains how the bank is integrating advanced technologies and expanding its digital footprint. It ensures compliance with data residency laws and strengthens our cybersecurity framework.

Banking 293

Banking Artificial Inteligence Blockchain Compliance 293

CIO

APRIL 26, 2024

The information and insights company’s foundation remains ensuring that every consumer is accurately represented in the market. That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security.

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Artificial Inteligence Generative AI Machine Learning Analytics 281

CIO

DECEMBER 19, 2023

While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information. To address these challenges, agencies are turning to a secure cloud fabric that can ensure the confidentiality, integrity, and availability of their data in the cloud.

Government 272

Government Artificial Inteligence Cloud Data 272

CTOvision

MARCH 3, 2020

Algorithmia, an AI model management automation platform for data scientists and machine learning (ML) engineers, now integrates with GitHub. The new release integrates machine learning initiatives into organisations’s DevOps lifecycles.

Machine Learning 107

Machine Learning Artificial Inteligence DevOps Compliance 107

TechCrunch

OCTOBER 27, 2020

Theta Lake , a provider of compliance and security tools for conferencing software like Cisco Webex, Microsoft Teams, RingCentral, Zoom and others, said it has raised $12.7 million in a new round of funding. Citing a Research and Markets report, the company estimates that the market will grow from $8.9

Video 244

Video Artificial Inteligence Machine Learning Compliance 244

Infinidat

DECEMBER 5, 2023

What is the NIST Cybersecurity Framework and Why does it matter? innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST CSF is one of the most widely adopted security frameworks across all industries, worldwide.

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Security Guidelines Storage Infrastructure 60

KitelyTech

AUGUST 26, 2023

Machine Learning continues to drive major advancements in automated systems in every industry, including finance. That’s why machine learning is being used to make fraud detection more efficient. This is a deeper look at how machine learning helps in financial fraud detection. What is Fraud Detection?

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Machine Learning Artificial Inteligence Banking System 52

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

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Generative AI Company Machine Learning Artificial Inteligence 359

TechCrunch

AUGUST 4, 2022

Axio , a platform for cybersecurity risk evaluation, today announced the closure of a $23 million Series B round led by Temasek’s ISTARI, with participation from investors NFP Ventures, IA Capital Group and former BP CEO Bob Dudley. Image Credits: Axio.

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Company Insurance Energy Infrastructure 211

Palo Alto Networks

SEPTEMBER 6, 2023

Navigating the Tides of Change & Building a Resilient SOC Charting the course of my career, transitioning from a cybersecurity webmaster to chief information security officer (CISO), has given me unique insights (and scars) into the multifaceted nature of cybersecurity.

Security 52

Security Technical Review Systems Review Cloud 52

Tenable

DECEMBER 22, 2023

As we bid adieu to 2023, we highlight major trends that impacted cybersecurity professionals in the past 12 months. Learn how the cyber world changed in areas including artificial intelligence, CNAPP, IAM security, government oversight and OT security. Cybersecurity teams were no exception.

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Artificial Inteligence Technical Review Cloud Artificial Intelligence 75

CIO

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

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Artificial Inteligence Generative AI Software Review Development Team Review 358

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Machine Learning Artificial Inteligence Software Engineering Engineering 130

Lacework

JANUARY 19, 2024

The financial and reputational toll of a data breach or falling short on compliance can be severe. That’s why Cloud Workload Security (CWS) isn’t just a nice-to-have — it’s a must. It’s a must-read for anyone making decisions about cloud security, filled with straightforward, helpful insights.

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Report Compliance Policies Generative AI 109

CIO

JUNE 22, 2023

It’s already being used to help improve operational processes, strengthen customer service, measure employee experience, and bolster cybersecurity efforts, among other applications. Chief among these are roles such as prompt engineers, AI compliance specialists, and AI product managers, according to Jim Chilton, CTO of Cengage Group.

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Artificial Inteligence ChatGPT CTO Coach Generative AI 261

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. Security & Governance. Typical machine learning workflow within Cloudera Machine Learning.

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Machine Learning Artificial Inteligence Data Data Engineering 98

CIO

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are they ready to transform business processes with machine learning capabilities, or will they slow down investments at the first speed bump?

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Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 318

d2iq

JANUARY 18, 2022

Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production. D2iQ is an AWS Containers Competency Partner , and D2iQ Kaptain is an enterprise Kubeflow product that enables organizations to develop and deploy machine learning workloads at scale.

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Artificial Inteligence Machine Learning AWS Weak Development Team 72

CIO

MAY 19, 2023

Some of the hardest roles to fill include security, and development and data professionals. For Naren Gangavarapu, chief information and digital officer at the Northern Beaches Council in Australia, this lack of access to critical knowledge is mainly related to cybersecurity.

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Artificial Inteligence Artificial Intelligence Training Culture 274

CIO

APRIL 25, 2023

Creating a first-rate, secure digital customer experience is a top goal for leaders across the financial services spectrum, from retail banking to commercial lending, investment banking, and wealth management. In addition, banks struggle to maintain customer data privacy, security, and compliance amid changing regulatory requirements.

Banking 246

Banking Machine Learning Artificial Inteligence Azure 246

O'Reilly Media - Data

JULY 23, 2018

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

CIO

FEBRUARY 27, 2024

It’s a balance of accelerating digital initiatives such as AI with the need to securely transform IT operations and increase business. It’s a real, readily accessible approach that integrates software, security, policy, and open APIs with an intuitive user interface, advanced telemetry, and automation.

Network 245

Network WAN Analytics Wireless 245

CIO

JULY 23, 2023

With multiple states and countries pursuing their own regulations, now more than ever businesses must ensure their data’s safety, security, and legitimacy when it is used, stored, or destroyed. Automation swiftly empowers organizations to respond to the growing needs for data security and compliance.

Government 246

Government Artificial Inteligence Data Artificial Intelligence 246

CIO

MARCH 31, 2023

At the same time, companies must maintain secure environments and prevent fraud. Coupled with a private 5G communication network, retailers can deploy cost-effective and high performing ‘edge-native’ applications.

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Retail Cloud Machine Learning Artificial Inteligence 245

Lacework

NOVEMBER 1, 2022

Why you should promote cybersecurity awareness in your boardroom. And with the growth of cybersecurity and cloud security, acquired companies tend to bring increasing amounts of cyber risk with them. Cybersecurity and cloud security have become especially critical for companies undergoing the M&A process.

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Compliance eBook Cloud Report 52

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Privacy and security.

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Machine Learning Artificial Inteligence Software Review Conference 91

CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge devices preprocess data locally, sending only relevant information to the cloud. Security and privacy. billion in 2027 with a compound annual growth rate (CAGR) of 86.1% Resilience.

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Artificial Inteligence Storage Artificial Intelligence Retail 162

TechCrunch

AUGUST 15, 2023

Image Credits: Getty Images For her latest Deal Dive column, Rebecca Szkutak profiled Tel Aviv–based IVIX, which “uses AI, machine learning and public databases” to track tax cheats and other bad actors. The company launched in 2020, and co-founders Matan Fattal and Doron Passov recently closed a $12.5

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Altexsoft

JUNE 2, 2020

These insights can help reduce response times and make companies compliant with security best practices. What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning algorithms in cybersecurity can automatically detect and analyze security incidents. Network security.

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Artificial Inteligence Examples Applications Machine Learning 93

CIO

APRIL 5, 2024

The EU and US want to foster scientific information exchange between AI experts on either side of the Atlantic in areas such as developing benchmarks and assessing potential risks. The emphasis is on developing “safe, secure, and trustworthy” AI technologies.

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