MAXIMIZE MARKET RESEARCH PRIVATE LIMITED

Edge AI Market is segmented into Component, Application, Device Type, Data Sources and Industry for market analysis. Increasing advancement of hardware technology and the increasing demand for real-time and low-latency processing are expected to drive Edge AI Market. The Edge AI Market was estimated using a bottom-up approach.

Pune, June 29, 2023 (GLOBE NEWSWIRE) -- A global Information Technology & Telecommunication business-consulting firm, Maximize Market Research, has delivered a market intelligence and competitive landscape report on the Edge AI Market. The report is a combination of primary data and secondary data and domain expert has analyzed the Edge AI Market from a local as well as a global point of view. Over the forecast period, Maximize Market Research expects the Edge AI market growth from USD 14.54 Bn in 2022 to USD 54.38 Bn in 2029 at a CAGR of 20.1 percent.

Edge AI Market Report Scope and Research Methodology

Market Size in 2022

USD 14.54 Bn.

Market Size in 2029

USD 54.38 Bn.

CAGR

20.1 percent (2022-2029)

Forecast Period

2022-2029

Base Year

2022

Number of Pages

276

No. of Tables

114

No. of Charts and Figures

112

Segment Covered

Component, Application, Device Type, Data Sources and Industry

Regional Scope

North America, Europe, Asia Pacific, Middle East and Africa, South America

Report Coverage

Market Share, Size & Forecast by Revenue | 20222029, Market Dynamics, Growth Drivers, Restraints, Investment Opportunities, and Key Trends, Competitive Landscape, Key Players Benchmarking, Competitive Analysis, MMR Competition Matrix, Competitive Leadership Mapping, Global Key Players Market Ranking Analysis.

Request For Free Sample Report: https://www.maximizemarketresearch.com/request-sample/190417

Edge AI Market Report Scope and Research Methodology

The Edge AI market report includes the extensive usage of both primary and secondary data collection methods. The report involves various factors affecting the industry, including the competitive landscape, historical data, current trends in the market, upcoming technologies, and the market risks, opportunities, barriers, and challenges for the Edge AI market. For the competitive analysis of the Edge AI market, major industry players are mentioned by region, along with their price, financial standing, product, product portfolio, technical developments, mergers and acquisitions, joint ventures, and strategic alliances.

Story continues

The bottom-up approach was used to establish the Edge AI market size and its estimation by various segments. Component, Application, Device Type, Data Sources and Industry are the segments used to analyze Edge AI to determine the favorable and unfavorable aspects that affect market growth. Regional analysis of Edge AI market was conducted at a local, regional and global level to understand Edge AI market penetration, price and demand analysis and competitive landscape. The report offers fundamental information on the Edge AI market such as stakeholders, investors and new entrants used to develop marketing plans and investments. SWOT analysis was used to provide the strengths and weaknesses of the Edge AI Market while PESTLE was employed to understand the potential impact of the micro-economic factors affecting the Edge AI Market.

Edge AI Market Overview

Edge AI is a computing paradigm that combines artificial intelligence (AI) with edge computing. It includes deploying AI algorithms and models directly on edge devices including sensors, cameras, gateways, and edge servers. The concept of Edge AI emerged as a response to the increasing need for real-time data processing and analysis, particularly in scenarios where latency, bandwidth, privacy, and security are critical. By bringing AI capabilities to the edge of the network, Edge AI enables faster decision-making and analysis without the need for continuous connectivity to the cloud.

Edge AI Market Dynamics

Edge AI brings artificial intelligence capabilities directly to edge devices, allowing for real-time processing and this is especially used in applications where low-latency decision-making is critical such as industrial automation, autonomous vehicles and Internet of Things (IoT) deployments. As a result, the increasing demand for real-time and low-latency processing boosts the Edge AI Market growth. The increasing advancement of hardware technology such as edge computing devices, system-on-chips (SoCs), and specialized AI accelerators is the driving factor for the market growth. These hardware advancements enable the efficient execution of AI algorithms on resource-constrained edge devices and help to grow the market. The growth of IoT devices and data, increasing concerns about data privacy and security and increasing need for real-time analytics are also the fuelling factors for the Edge AI Market growth.

The limited computing resources available on edge devices compared to cloud servers act as a major restraint for market growth. Data privacy and security and limited computational capabilities and connectivity on edge devices are also hampering factors for the market growth.

Edge AI Market Regional Insights

North America dominated the Edge AI Market in 2022 and is expected to maintain its dominance over the forecast period. Edge AI brings the power of artificial intelligence and machine learning algorithms closer to the data source, enabling real-time processing and analysis. This is particularly crucial for applications that need low latency including autonomous vehicles, industrial automation and healthcare. The increasing demand for real-time decision-making and immediate insights is driving the adoption of Edge AI technologies in the region. The proliferation of Internet of Things (IoT) devices, increasing concerns about data privacy and security, advancements in hardware technology, industry-specific applications and a supportive regulatory environment are also the boosting factors for the regional Edge AI market growth

Europe is a significantly growing region for the Edge AI market. The strong focus on data privacy and security and the significant adoption of Edge AI in sectors such as industrial automation, transportation, and smart cities are the influencing factors for regional market growth. The countries in Europe emphasize regulations including GDPR, which influence the development of Edge AI solutions.

Edge AI Market Segmentation

By Component

On the basis of the Component, the market is segmented into Hardware, Software, Edge Cloud Infrastructure and Services. The Hardware is expected to have significant growth for the Edge AI Market during the forecast period. Hardware components envelop the physical devices and equipment used in Edge AI deployments. This involves edge servers, gateways, IoT devices, sensors, cameras, AI accelerators, and specialized chips designed to help AI workloads. Hardware is used for the processing, storage, and connectivity capabilities needed at the edge.

Get Customization on this Report for Specific Research Solutions: https://www.maximizemarketresearch.com/request-customization/190417

By Application

Video Surveillance

Access Management

Autonomous Vehicles

Energy Management

Others

Based on application, the market is categorized into Video Surveillance, Access Management, Autonomous Vehicles, Energy Management and Others. Video Surveillance is expected to grow at a significant CAGR for the Edge AI Market. Video surveillance is a widely adopted application of Edge AI. By deploying AI algorithms at the edge, video surveillance systems have been performing real-time video analytics, object detection and anomaly detection. Edge AI enables fast decision-making, minimizes bandwidth needs by transmission of only relevant video footage and enhances security and response times in critical situations.

By Device type

Smartphones

Cameras

Robots

Wearables

Smart speakers

Surveillance Cameras

Edge Servers

Smart Mirrors

By Data Sources

By Industry

Automotive

Manufacturing

Healthcare

Energy and Utility

Consumer Goods

IT & Telecom

Others (Retail)

Edge AI Market Key Players Include:

Apple Inc. (United States)

Oracle Corporation (United States)

NVIDIA Corporation (United States)

Intel Corporation (United States)

Microsoft Corporation (United States)

General Electric Company (GE) (United States)

Honeywell International Inc. (United States)

Hewlett Packard Enterprise (HPE) (United States)

Amazon Web Services (AWS) (United States)

Advanced Micro Devices, Inc. (AMD) (United States)

Google LLC (United States)

Advanced Micro Devices, Inc. (AMD) (United States)

Xilinx, Inc. (United States)

Cisco Systems, Inc. (United States)

Dell Technologies Inc. (United States)

IBM Corporation (United States, but major presence in Europe)

IBM Corporation (United States, but major presence in Europe)

Accenture PLC (Ireland)

Siemens AG (Germany)

SAP SE (Germany)

Huawei Technologies Co., Ltd. (China)

Samsung Electronics Co., Ltd. (South Korea)

MediaTek Inc. (Taiwan)

NEC Corporation (Japan)

Get the Sample PDF of the Report: https://www.maximizemarketresearch.com/request-sample/190417

Key questions answered in the Edge AI Market are:

What is Edge AI?

What was the Edge AI market size in 2022?

What is the growth rate of the Edge AI Market?

Which are the factors expected to drive the Edge AI market growth?

What are the different segments of the Edge AI Market?

Read this article:
Edge AI Market to Hit USD 54.38 Bn by 2029 at a CAGR of 20.1 percent: Says Maximize Market Research - Yahoo Finance

As browser-based WebAssembly (Wasm) gains interest as a back-end technology, developers are moving from Hmm, that sounds interesting to Lets see what Wasm can really do beyond browsers, video gaming, and content streaming.

At the same time, Wasm itself is starting to morph and shift. All of this makes it a good time to take another look at WebAssembly technology. As you evaluate Wasm for new uses, here are five things you should be keeping in mind.

Wasm was originally designed for the browser, and without a system interface to improve its overall security stance. The authors of the original web-focused Wasm didnt want applications to be able to request resources, in much the same way that Java applets are restrained within a browser.

But back-end developers using Wasm want an interface, so that they can port and use existing programs and programming paradigms (think Python, Ruby, web servers, etc). Enter the WebAssembly System Interface extension, aka WASI, a set of POSIX-like APIs that provide for OS-style functionality such as file systems, networking, and cryptography. WASI improves on execution and portability for existing software as well as new programs written with common, existing paradigms (using files, ports, etc.).

There has been a lot of push and pull between those who think Wasm should remain pure and those who want a POSIX-like systems interface. In fact, its a hotly contested issue in the upstream community. Some in the back-end server community have proposed a kind of compromise, suggesting that those who want to use Wasm as it was originally intended should do so, but that the interface could be added on top for those who want it. Me? I think WASI is necessary for the server side to succeed.

In some benchmark testing, Wasm demonstrates impressive performance. Wasm is fast and efficient, no doubt, but benchmark numbers should be taken with a grain of salt. For example, in the recent Vercel benchmark testing, Wasm performance was excellent. In the e-digit section, which is a computationally intensive assessment, Wasm was much faster than Java. But the dirty secret is, using the native Rust compiler written in C, running on bare metal, is still something in the neighborhood of four times as fast as Wasm. Further, in some of the other Vercel subtests, Java is much faster than Wasm.

Granted, the full performance of an application is going to be some smattering of a number of different benchmarks, but its important to note that Wasm is not a slam dunk performance-wise. This will be especially true if more elementssuch as WASIare laid on top of Wasm. Also, stay tuned for garbage collection, and how that might affect performance.

As noted earlier, Wasm is limited in scope for system security reasons. By making it less restrictive, such as when adding the WASI interface, you increase the attack surface. Its likely that the more popular Wasm gets, the more will be added to it, which will lead to more venues for human error or malicious actions. Multi-tenancy in particular is an area of concern. Is Wasm more secure than containers? Less than virtual machines? Does Wasm create a sweet security spot between the two? Maintaining this balance between functionality and security will be critical moving forward. Developers considering expanding their use of Wasm will need to be on top of (and part of) the debate.

One of Wasms biggest draws is its cross-platform portability. Wasm is a neutral binary format that can be shoved in a container and run anywhere. This is key in our increasingly polyglot hardware and software world. Developers hate compiling to multiple different formats because every additional architecture (x86, Arm, Z, Power, etc.) adds to your test matrix, and exploding test matrices is a very expensive problem. QE is the bottleneck for many development teams.

With Wasm, you have the potential to write applications, compile them once, test them once, and deploy them on any number of hardware and software platforms that span the hybrid cloud, from the edge to your data center to public clouds. A developer on a Mac could compile a program into a Wasm binary, test it locally, and then confidently push it out to all of the different machines that its going to be deployed on.

All of these machines will already have a Wasm runtime installed on them, one that is battle tested for that particular platform, thereby making the Wasm binaries extremely portable, much like Java. And when you compile a program down to that Wasm binary you can ship it out to a container registry, pull it down on another machine that has a Wasm runtime, and then run it anywherewhether the host is an M1 or M2 Mac, or an x86 system, or whatever.

When you look at how Arm and RISC are taking off, you realize that our polyglot world is only going to become more polyglot in the next five years, if not sooner. Containers plus Wasm looks like a big cross-platform win.

Another area of debate around Wasm is whether Wasm binaries should be run natively, alongside containers, or within containers. The beauty is, it really doesnt matter, as long as we all adopt the OCI Container Image format. Whether you run a Wasm binary natively on a Wasm runtime, or if that Wasm runtime runs within an OCI container (remember, theyre just fancy processes), you can create one image that can then be deployed across multiple architectures.

A single image saves disk space and compile time and, as previously noted, prevents your test matrix from getting out of hand. The benefits of running Wasm within a container is that you get defense in depth with very little performance impact. The benefit of running Wasm binaries side-by-side with containers is still to be studied, but either way, we should be able to preserve the value of the Kubernetes ecosystem. If you want to schedule Wasm containers, it will be easy because they'll all live in an OCI registry and youll be able to pull them down in Kubernetes (or Podman or Docker) and run them.

We know Wasm works well in the browser. Now its time to get excited about how Wasm could work on the server side. I think were all still learning about what Wasm might become, but in particular, Im most excited by the cross-platform potential. Could Wasm, combined with containers, truly deliver the promise of ultimate portability? I think its possible, but as technologists, well have to wait and see, and guide it where we need it to go.

Wasm is still emergingand mostly untestedon the back end. It will be important to continue to keep an eye of Wasms progress and think about how it could benefit each of our organizations. Will performance really be as good as bare metal? Will Wasm retain enough security, even with a new systems interface, to enable multi-tenancy? Lets find out together over the coming months and years!

At Red Hat, Scott McCarty is senior principal product manager for RHEL Server, arguably the largest open source software business in the world. Scott is a social media startup veteran, an e-commerce old timer, and a weathered government research technologist, with experience across a variety of companies and organizations, from seven person startups to 12,000 employee technology companies. This has culminated in a unique perspective on open source software development, delivery, and maintenance.

New Tech Forum provides a venue to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content. Send all inquiries tonewtechforum@infoworld.com.

Follow this link:
Wasm: 5 things developers should be tracking - InfoWorld

Charming Kitten APT Group Uses Innovative Spear-phishing Methods. Volexity researchers recently noticed that threat actors are actively intensifying their efforts to compromise the credentials or systems of their targets by employing Spear-phishing Methods.

While spear-phishing techniques involve sending personalized messages and engaging in dialogue for days before delivering malicious links or attachments.

Volexity often observes Charming Kitten, an Iranian-based threat actor, using these techniques, and their main focus is gathering intelligence through compromised credentials and spear-phishing emails.

The Charming Kitten APT group extracts additional access and attempts to shift to corporate VPNs or remote access services.

In this spear-phishing campaign, Charming Kitten was found to be distributing an updated version of the backdoor, dubbed POWERSTAR (aka CharmPower), by the security analysts at Volexity.

Volexity analyzed the latest version of the POWERSTAR backdoor, unveiling Charming Kitten APT Groups enhanced spear-phishing techniques and malware evolution.

However, despite all the challenges, Volexity successfully analyzed the new variant with all essential components.

Security researchers discovered a complex POWERSTAR variant, possibly aided by a custom server-side component for automated actions.

Notably, this version employs interesting features like IPFS and publicly accessible cloud hosting for decryption and configuration details.

Here below is the POWERSTAR timeline:-

Charming Kitten focused on a recent attack target, using an email address mimicking an Israeli media reporter to send a message.

However, before deploying malware, the attacker casually inquired if the target would review a document on US foreign policy, a common request resembling those from journalists seeking opinions on relevant topics.

Charming Kitten sustained interaction through a harmless email exchange with a question list, followed by the targets answers to deepen the targets trust.

After several days of legitimate communication, they sent a malicious LNK file embedded into a password-protected RAR file that is disguised as a draft report along with the password.

Here below, we have mentioned all the phishing operations that the phishing operator follows:-

Here below, we have mentioned all the features of POWERSTAR:-

The POWERSTAR backdoor payload collects system info and sends it to the compromised systems C2 address via a POST request.

In the analyzed sample, the C2 address was a subdomain on Clever Cloud, fuschia-rhinestone.cleverapps[.]io. It includes a victim identifier token for Charming Kittens tracking.

Volexity noticed the C2 updating the AES key dynamically, and POWERSTAR sets a random IV and sends it to C2 via the Content-DPR header.

While the earlier versions used a custom cipher instead of AES, which improves the operations of the malware. POWERSTAR has the capability to carry out commands using two programming languages, and here below we have mentioned them:-

Volexity successfully obtained access to nine modules of POWERSTAR, which are listed below:-

Since 2021, when Volexity initially detected POWERSTAR, Charming Kitten enhanced the malware to increase detection complexity.

The considerable alteration involves downloading the decryption function from remote files, making it harder to detect the malware except in memory.

Moreover, this technique gives the attacker a kill switch, which allows them to prevent further analysis of the crucial functionalities of the malware and its operations.

Implementing AI-Powered Email security solutions can secure your business from todays most dangerous email threats, such as Email Tracking, Blocking, Modifying, Phishing, Account Take Over, Business Email Compromise, Malware & Ransomware

Read the original here:
Charming Kitten APT Group Uses Innovative Spear-phishing Methods - GBHackers

Company Logo

Omani Data Center Market

Omani Data Center Market

Dublin, June 09, 2023 (GLOBE NEWSWIRE) -- The "Oman Data Center Market - Investment Analysis & Growth Opportunities 2023-2028" report has been added to ResearchAndMarkets.com's offering.

The Oman data center market is expected to grow at a CAGR of 9.60% from 2022-2028.

Key Highlights

The increasing demand for migration to cloud platforms by various sectors attracts local and global cloud service providers in the Oman data center market. For instance, Global Cloud Service operators such as AWS, Microsoft, Oracle, and Google have a presence with local operators in Oman.

In December 2022, the Ministry of Transport, Communications and Information Technology (MTCIT) in Oman signed a Memorandum of Understanding (MoU) with Amazon Web Services (AWS) for the launch of cloud service data centers in the country.

Regarding 5G connectivity, telecom operators like Omantel, Ooredoo, Nokia, Ericsson, and Vodafone are working towards deploying 5G technology in the country.

The government has launched its strategies, such as Vision 2040 and National Energy Strategy, which aim to generate around 30% of the electricity from renewable energy sources by 2030.

In August 2022, the Ministry of Housing and Urban Planning, part of Oman Vision 2040, was involved in developing three smart cities in the country. The smart cities are expected to be developed in Salala, Nizwa, and Suhar in Oman.

Reasons to Buy

Market size available in the investment, area, power capacity, and Oman colocation market revenue.

An assessment of the data center investment in Oman by colocation, hyperscale, and enterprise operators.

Investments in the area (square feet) and power capacity (MW) across states in the country.

A detailed study of the existing Oman data center market landscape, an in-depth industry analysis, and insightful predictions about industry size during the forecast period.

Snapshot of existing and upcoming third-party data center facilities in Oman

The Oman data center market investments are classified into IT, power, cooling, and general construction services with sizing and forecast.

A comprehensive analysis of the latest trends, growth rate, potential opportunities, growth restraints, and prospects for the industry.

Business overview and product offerings of prominent IT infrastructure providers, construction contractors, support infrastructure providers, and investors operating in the industry.

A transparent research methodology and the analysis of the demand and supply aspects of the industry.

Story continues

VENDOR LANDSCAPE

The Oman data center market has the presence of several local and global operators, such as Equinix, Ooredoo, Datamount, Cloud Acropolis, and Oman Data Park.

The prominent growth potential of the industry has also attracted several new entrants; for instance, Gulf Data Hub is expanding its footprints across the Middle Eastern region, where the company also has two pipeline projects in Oman.

EXISTING VS. UPCOMING DATA CENTERS

REPORT COVERAGE:

This report analyses the Oman data center market share. It elaboratively analyses the existing and upcoming facilities and investments in IT, electrical, mechanical infrastructure, general construction, and tier standards. It discusses market sizing and investment estimation for different segments.

The segmentation includes:

IT Infrastructure

Servers

Storage Systems

Network Infrastructure

Electrical Infrastructure

UPS Systems

Generators

Switches & Switchgears

PDUs

Other Electrical Infrastructure

Mechanical Infrastructure

Cooling Systems

Racks

Other Mechanical Infrastructure

Cooling Systems

CRAC & CRAH Units

Chiller Units

Cooling Towers, Condensers & Dry Coolers

Other Cooling Units

General Construction

Core & Shell Development

Installation & Commissioning Services

Engineering & Building Design

Fire Detection & Suppression Systems

Physical Security

Data Center Infrastructure Management (DCIM)

Tier Standard

Tier I & Tier II

Tier III

VENDOR LANDSCAPE

Major Vendors

IT Infrastructure Providers

Data Center Construction Contractors & Sub-Contractors

AECOM

DC Pro Engineering

Direct Services

Hill International

Turner & Townsend

Support Infrastructure Providers

Data Center Investors

Equinix

Ooredoo

Oman Data Park

Datamount

CloudAcropolis

New Entrants

KEY QUESTIONS ANSWERED:

How much is the Oman data center market investment expected to grow?

What is the growth rate of the Oman data center market?

How many data centers have been identified in Oman?

What are the driving factors for the Oman data center market?

Who are the key investors in the Oman data center market?

Key Attributes:

Report Attribute

Details

No. of Pages

92

Forecast Period

2022 - 2028

Estimated Market Value (USD) in 2022

$247 Million

Forecasted Market Value (USD) by 2028

$428 Million

Compound Annual Growth Rate

9.6%

Regions Covered

Oman

Key Topics Covered:

1. Existing & Upcoming Third-Party Data Centers in Oman1.1. Historical Market Scenario1.2. 5+ Unique Data Center Properties1.3. Data Center It Load Capacity1.4. Data Center White Floor Area Space1.5. Existing Vs Upcoming Data Center Capacity by Cities1.6. Cities Covered1.6.1. Muscat1.6.2. Other Cities1.7. List of Upcoming Data Center Projects in Oman

2. Investment Opportunities in Oman2.1. Microeconomic and Macroeconomic Factors in Oman 2.2. Investment Opportunities in Oman2.3. Investment by Area2.4. Investment by Power Capacity

3. Data Center Colocation Market in Oman3.1. Colocation Services Market in Oman3.2. Retail Vs Wholesale Data Center Colocation3.3. Colocation Pricing (Quarter Rack, Half Rack, Full Rack) & Add-Ons

Link:
Outlook on the Oman Data Center Market to 2028: Increasing Demand for Migration to Cloud Platforms by Various Sectors Attracts Local and Global Cloud...

Last month, the Irish Data Protection Commission (DPC), a leading European Union privacy regulator, issued a landmark ruling suspending Metas cross-border transfer of personal data from its EU users to its U.S.-based servers. The DPCs ruling includes a record $1.3 billion fine and could potentially shutter access to Facebook and Instagram across the EU.

The consequences, though, could extend far beyond Meta. In its ruling, the DPC held that businesses cannot rely on the so-called Standard Contractual Clauses, a legal framework used by Meta and others to transfer data from the EU to the U.S. in compliance with European privacy law. That framework is used by more than 90% of businesses engaged in transatlantic commerce, a nearly $7.1 trillion industry.

A disruption in transatlantic data flows would not only take a bite out of the economy, but also impact any company doing business in the EU which relies on U.S.-based software or cloud hosting.

The DPCs ruling against Meta is the latest in a long line of high-profile EU decisions that raise fundamental questions about whether European privacy law permits any type of transatlantic data transfer given the potential for U.S. intelligence agencies to surveil personal data held by American companies.

Opinion

Get smart opinions on the topics North Texans care about.

In other words, the concern driving the EU to ban data transfers to companies like Meta closely resembles the concern driving Americans to ban TikTok: That a foreign government may be able to surveil personal data held by a foreign company.

The upshot of this overlap aside, perhaps, from a gut check that Europeans view the U.S. like Americans view China is that both problems can be addressed through a single solution: a comprehensive federal privacy law.

This law can empower consumers to manage their own data in a way that minimizes what information businesses can collect or retain and, by extension, what governments can glean from those businesses. This would solve the problem from the bottom up, with consumers themselves limiting what data is potentially subject to corporate misuse or government surveillance.

The U.S. has much to gain from passing a comprehensive federal privacy law. Such a law would not only strengthen consumer privacy (by giving consumers more control) and protect national security (by reducing what data companies like TikTok can collect), but also provide American businesses with much-needed regulatory certainty.

The latter is particularly salient given the DPCs recent ruling against Meta. It is not tenable for American businesses to operate in a state of limbo as to whether their services or software will one day be banned in Europe or other privacy-conscious jurisdictions. And European policymakers have indicated that passing a comprehensive U.S. privacy law is the best way to stabilize EU-U.S. data flows over the long term.

Indeed, the European Commission is currently rushing to finalize a new transatlantic data transfer mechanism known as the EU-U.S. Data Privacy Framework. This new framework accounts for recent changes in U.S. surveillance policy made to address EU concerns. Yet these changes have been poorly received by European policymakers because they are the product of executive rather than legislative action, and the U.S., unlike most developed countries, lacks a comprehensive privacy law that enshrines baseline protections.

In the short term, these concerns should not stop the European Commission from finalizing the new framework to sustain data flows in the wake of the DPCs Meta decision. The commission has already indicated that, at least provisionally, the new framework adequately addresses concerns about mass surveillance, and a $7.1 trillion economic disruption would harm both the U.S. and Europe.

Even if the framework is finalized, though, it may not deliver the long-term certainty that American businesses need. Like its predecessors, it will face almost immediate legal jeopardy unless or until the United States passes a comprehensive privacy law.

Rarely can a single act of legislation serve the interests of industry, consumers and national security. A federal privacy law would do just that, but the clock is ticking.

Jordan E.M. Sessler serves as privacy counsel for BigCommerce, a Texas-based ecommerce software provider. The views expressed are his own and not those of BigCommerce. He wrote this column for The Dallas Morning News.

We welcome your thoughts in a letter to the editor. See the guidelines and submit your letter here.

Follow this link:
A data privacy law is becoming more urgent every day - The Dallas Morning News