This top-notch market research report has been structured by skilful and experienced team players who work hard to accomplish an absolute growth and success in the business. The report performs market study and analysis to provide market data by considering new product development from beginning to launch. The key research methodology used throughout this report by DBMR research team is data triangulation which entails data mining, analysis of the impact of data variables on the market, and primary validation. Adopting such this market research report is always beneficial for any company, whether it is a small scale or large scale, for marketing its products or services.

A market research conducted in this report aids in improving and modifying the products so that future products present more satisfaction to your valuable customers. A comprehensive discussion about numerous market-related topics in the report is sure to assist the client in studying the market on competitive landscape. The data collected to structure this report is based on the data collection modules with large sample sizes. This market research report is prepared with detailed statistics and market research insights that results in sharp growth and thriving sustainability in the market for the businesses.

Perimeter security marketwill grow at a CAGR of 10.63% in the forecast period of 2020 to 2027. Increased need to reduce manpower cost is an essential factor driving the perimeter security market.

Avail FREE sample report instantly @https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-perimeter-security-market

Some of the Leading Key Companys Covered for this Research are:

The major players covered in perimeter security market report are Harper Chalice Group Ltd., United Technologies, Godrej.com, Senstar Corporation, Future Fiber Technologies, PureTech Systems Inc., Detection Technologies, Schneider Electric, Honeywell International Inc., Cias Elettronica Srl, DeTekion Security Systems Inc., RBtech Perimeter Security Systems, Jacksons Fencing, Johnson Controls, Southwest Microwave Inc., SightLogix, Heras, Axis Communications AB, D-Fence, Fiber SenSys Inc., Aventura Technologies Inc., Anixter Inc., ADVANCED PERIMETERE SYSTEMS LTD., SORHEA, FLIR Systems Inc among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Competitive Landscape

**The report encourages high end commercialization and profit steering possibilities, also considering market dimensions and volatility of market size.

**To ensure thoroughly impeccable investor participation and noteworthy growth prospects, this section of the report also dwells over accurately decoding the competitive landscape with astute high-end identification of frontline players, complete with an in-depth analytical study of their business choices and investment discretion.

**Details pertaining to portfolio advances, regional footprint and other relevant market details have been well gauged in this report to ensure smooth ride and optimistic business returns despite several odds and unprecedented challenges.

Radical conclusions of the report:

Key Market Segmentation

Global Perimeter Security Market, By Component (Video Surveillance, Intrusion Detection, Access Control, Signaling System and Services), Vertical (Industrial, Commercial and Services, Government, Infrastructure, Military & Defense, Residential, Educational, Religious Building), Solutions(Access Control, Intrusion Detection Sensors, Video Surveillance, Mass Notification), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2027

Read More@https://www.databridgemarketresearch.com/reports/global-perimeter-security-market

Fundamentals of Table of Content:

1 Report Overview

1.1 Study Scope

1.2 Key Market Segments

1.3 Players Covered

1.4 Market Analysis by Type

1.5 Market by Application

1.6 Study Objectives

1.7 Years Considered

2 Global Growth Trends

2.1 Perimeter Security Market Size

2.2 Perimeter Security Growth Trends by Regions

2.3 Industry Trends

3 Market Share by Key Players

3.1 Perimeter Security Market Size by Manufacturers

3.2 Perimeter Security Key Players Head office and Area Served

3.3 Key Players Perimeter Security Product/Solution/Service

3.4 Date of Enter into Perimeter Security Market

3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Product

4.1 Global Perimeter Security Sales by Product

4.2 Global Perimeter Security Revenue by Product

4.3 Perimeter Security Price by Product

5 Breakdown Data by End User

5.1 Overview

5.2 Global Perimeter Security Breakdown Data by End User

Get Free Table Of Contents @https://www.databridgemarketresearch.com/toc/?dbmr=global-perimeter-security-market

Key Influence of this Market:

Comprehensive assessment of all opportunities and risk in Perimeter Security Market

This Market recent innovations and major events

Detailed study of business strategies for growth of the this Market-leading players

Conclusive study about the growth plot of the Market for forthcoming years

In-depth understanding of this Market-particular drivers, constraints and major micro markets

Favourable impression inside vital technological and market latest trends striking Perimeter Security Market

To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW)

To provide country level analysis of the market with respect to the current market size and future prospective

NOTE: Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19.

About Data Bridge Market Research, Private Ltd

Data Bridge Market ResearchPvtLtdis a multinational management consulting firm with offices in India and Canada. As an innovative and neoteric market analysis and advisory company with unmatched durability level and advanced approaches. We are committed to uncover the best consumer prospects and to foster useful knowledge for your company to succeed in the market.

Data Bridge Market Research is a result of sheer wisdom and practice that was conceived and built-in Pune in the year 2015. The company came into existence from the healthcare department with far fewer employees intending to cover the whole market while providing the best class analysis. Later, the company widened its departments, as well as expands their reach by opening a new office in Gurugram location in the year 2018, where a team of highly qualified personnel joins hands for the growth of the company. Even in the tough times of COVID-19 where the Virus slowed down everything around the world, the dedicated Team of Data Bridge Market Research worked round the clock to provide quality and support to our client base, which also tells about the excellence in our sleeve.

Data Bridge Market Research has over 500 analysts working in different industries. We have catered more than 40% of the fortune 500 companies globally and have a network of more than 5000+ clientele around the globe. Our coverage of industries includes

Contact Us

US: +1 888 387 2818UK: +44 208 089 1725Hong Kong: +852 8192 7475Email corporatesales@databridgemarketresearch.com

Originally posted here:

Global Perimeter Security Market Revenue Overview, Business Analysis by leading Players with its Application and Forecast KSU | The Sentinel...

PLANO, Texas, Feb. 10, 2021 (GLOBE NEWSWIRE) -- INTRUSION Inc. (NASDAQ: INTZ), a leading provider of entity identification, high speed data mining, cybercrime and advanced persistent threat detection services, announces Katrinka McCallum as the newest member of its Board of Directors.

We are beyond thrilled to have Katrinka join INTRUSIONs Board of Directors and welcome her to our team. Her outstanding executive experience and board involvement brings great perspective and fresh ideas to our company, said Tony LeVecchio, Chairman of the Board. Katrinkas background and skillsets make her a natural fit for this seat.

Most recently, Katrinka McCallum was Vice President of Customer and Product Experience at Red Hat, a leading provider of enterprise open source solutions, which was acquired by IBM in 2019. During her career that spans more than two decades in enterprise software, McCallum led business units, sales and marketing organizations as well as engineering and operations teams. She developed a reputation for driving strategy into actions that intelligently aligned the operational backbone and accelerated the business.

McCallum has served on corporate boards including Micromuse, Inc. and Round Pond, a subsidiary board of Red Hat, Inc. In addition, she was a member of the executive committee for the North Carolina Technology Association board.

I am passionate about my work scaling organizations for growth within the technology industry and hope to further strengthen the impressive INTRUSION team, added McCallum. My focus has been on operating excellence and delivering results that benefit customers, ecosystems and shareholders. I look forward to continuing that work within the cybersecurity sphere.

The appointment of Katrinka McCallum comes at an exciting time for INTRUSION, as the awareness of INTRUSION Shield is rapidly growing now that businesses know it can protect from zero-day attacks such as those that breached SolarWinds.

About INTRUSION Inc.

INTRUSION, Inc. is a global provider of entity identification, high speed data mining, cybercrime and advanced persistent threat detection solutions. INTRUSIONs family of solutions includes Shield, a combination of plug-n-play hardware, software, global data, and real-time Artificial Intelligence (AI) services that provide organizations with the most robust cybersecurity defense possible, TraceCop for identity discovery and disclosure, and Savant for network data mining and advanced persistent threat detection. INTRUSIONs solutions help protect critical information assets by quickly detecting, protecting, analyzing and reporting attacks or misuse of classified, private and regulated information for government and enterprise networks. For more information, please visitwww.intrusion.com.

Cautionary Statement Regarding Forward Looking Information

This release may contain certain forward-looking statements, including, without limitations, statements about the performance of protections provided by our Shield products, or other statements which reflect management's expectations regarding future events and operating performance and speak only as of the date hereof. These forward- looking statements involve a number of risks and uncertainties, including that the Company may not benefit from these changes in its executive management team. These statements are made under the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995 and involve risks and uncertainties which could cause actual results to differ materially from those in the forward-looking statements, including, risks that we have detailed in the Company's most recent reports on Form 10-K and Form 10-Q, particularly under the heading Risk Factors.

ContactJulia Kramer jkramer@intrusion.comP: 972-301-3635

See the rest here:

INTRUSION Inc. Announces Appointment of Katrinka McCallum to its Board of Directors - GlobeNewswire

To capitalize on the promise of artificial intelligence and alternative data, boards need to anticipate and mitigate various risks.Takeaways

Alternative data and artificial intelligence (AI) have generated tremendous excitement in the business world. The technology offers the potential for faster, more efficient and more reliable decisions. Banks and fintech platforms already use them to make credit decisions, and they show promise in other areas, from fraud prevention to hiring decisions.

But the surprising predictive success of AI-based decision models is precisely what makes them tricky legally. Often, the developers of such models cannot explain the relation between a variable and its predictive value. Anything from where you shop to the type of mobile phone you use or the first letter of your last name may prove to be a predictor of, say, the likelihood you will default on a loan or that you will perform well in a job you are applying for.

To the companies that use such models, this may seem like brilliant data mining unearthing nonobvious predictors that outperform conventional ones. But to regulators and those harmed by AI-based decisions whose rationales cannot be fully explained, the process may seem capricious.

AI models are the subject of particularly lively debate in the lending sphere, both because lending is a heavily regulated activity and because the technology may turn out to be more reliable than traditional credit bureau factors (number of tradelines, average balance, debt-to-income, etc.). The latter have proven less effective in predicting defaults over the past year, particularly during the pandemic.

Alternative data may also benefit consumers who have not established the kind of borrowing track record typically relied on by credit bureaus. It could therefore expand the population qualifying for credit. Similar benefits and problems arise in recruiting and other areas where AI models based on alternative data are being explored.

The appeal of AI is that the technology can make predictions using offbeat data that humans cannot make or explain. But the fact that AI uncovers new and surprising predictors by poring through hundreds of types of data poses a basic problem: The most valuable variables may have no obvious relation to the thing being predicted, such as a borrowers ability to pay its debts.

In the worst cases, outcomes of these models may be both surprising and problematic. For example, one AI-based recruiting model for software developers relied on the success of previous hires. They were almost entirely male, however, and the model turned out to have a strong bias against women so strong that it excluded any candidate from two womens colleges. That could violate employment nondiscrimination laws in jurisdictions where its not necessary to show discriminatory intent.

This sort of unforeseen bias is on the minds of bank regulators, because it could violate fair lending rules. This hiring example was cited by Federal Reserve Bank Governor Lael Brainard in a recent speech about AI in financial services. Regulators may demand proof that a similar nonobvious variable is not a proxy for another, forbidden factor such as the race or gender of the applicant.

The hiring example also underscores that companies cannot blindly accept AI-based recommendations as technical wizardry. The predictions based on novel data may be quite explainable if you dig deep enough.

An AI models black box quality itself poses a problem, apart from any biases. To illustrate this, assume one variable in a lenders underwriting model is whether the applicant uses an Apple or a Samsung mobile phone, because that (hypothetically) has been shown to be highly predictive of an applicants risk of default.

If predictive value were the only factor, the brand variable might satisfy safety and soundness bank rules. But regulations often require more than predictive value. U.S. banking regulators require that financial models be conceptually sound. And banking rules in the U.S., EU and Hong Kong all generally require lenders to be able to explain to an applicant why credit was denied.

Hence, explainability the ability to articulate the relationship between a variable and the attribute being predicted has become a buzzword in AI, and is particularly central to fintech regulation and the growth of AI in finance. In the U.S., regulators may also ask if a prospective borrower could anticipate that a lender would consider a certain factor in its decision, so the applicant can take action to avoid being denied credit. If the model uses, say, the first letter of an applicants surname, the consumer would have few options. (And, of course, if the phone brand proved to be correlated with race, gender or some other factor lenders cannot consider, that would pose fair lending and other problems.)

Finally, reputational risk needs to be weighed. If it becomes public that an institution makes decisions based on complex black box models relying on puzzling alternative data, it could lead to bad publicity. Several years ago, a lender drew criticism for scoring applicants based in part on the chain stores where they shopped. As a result, the company stopped using that factor.

Explain yourself In many cases, the best approach will be the common sense one: Make sure your business can explain the relationship between each type of data used and the decisions that result. That will be necessary to satisfy regulators, customers and the public at large.

Key steps companies can take to identify and mitigate the risks of using alternative data and artificial intelligence models:

Download PDF

See the original post:

Why Does the Brand of My Phone Affect My Credit Rating? - JD Supra

Workers getting their blood glucose and blood pressure checked at a health awareness camp by medical wing of Pakistan Association of Dubai. Photo for illustrative purpose only. Image Credit: Virendra Saklani/Gulf News/achive

Abu Dhabi: An Abu Dhabi-based Pakistani expats welfare project to help victims of visa and recruitment fraud seek help from UAE and Pakistani authorities has developed into a major plan for migrant workers.

The Pakistani government is currently reviewing Naya Mazdoor (meaning New Labour in Urdu), a project launched in 2019 by Mariam Malik, a Pakistani expat in the UAE who is a professional in mass skilled workforce recruitment and business development since 2006. The project took over 15 months to design and develop by Malik, who is currently in talks with donors. She travelled to Pakistan in March 2020 to pursue and propose the solution to the government there. She went there because she believes that Pakistan Prime Minister Imran Khan, who is now leading the government, is the only politician who has voiced his concern for overseas workers and had transparency and change on his political agenda.

Plans under review

"Along with Naya Mazdoor, the Pakistani government is also reviewing an Employment Generation and Empowerment plan for its working class," said Malik who is founder of 'Naya Mazdoor' project. Naya Mazdoor registered around 8,000 workers in the Gulf countries, helping victims of visa, recruitment and immigration fraud and connect them to UAE authorities and Pakistani government for repatriation.

- Mariam Malik

The inspiration to design and develop the solution for Pakistan came from the lack of concrete steps by its government to protect its migrant workers since 1970s and the need to plug the system and procedural gaps that lead to exploitation, said Malik. Migrant workers in the UAE and Saudi Arabia account for 40 per cent of workers remittances flow into Pakistan from overseas, she added. Even though Gulf countries have laws in place to protect migrant workers, they face difficulties and exploitation due to the lack of action and reforms locally in Pakistan by the government, Malik said.

Strategic focus

Her plan calls for a sustainable 360-degree solution to take both overseas and local workers into its fold. The strategic focus is on six main areas for workforce development: business development, employment, empowerment, welfare, reforms and labour laws implementation.

For Pakistani workers in the UAE and GCC, the plan includes unprecedented levels of protection, facilitation, and service by the Pakistani government to its migrant workers from pre-departure, up to post deployment. Extensive data collection of its workforce, helplines, employment opportunities, protection from jobseekers exploitation, fraud, and unscrupulous recruiting agents are some of the features. Assurance and checks of minimum wages set by the Pakistani government, system integrations with governments of Gulf countries working in collaboration to swiftly address issues for repatriation and rescue are among the proposals.

Tackling corruption and neglect

Malik said: "The implementation of the plan will also help curb corruptionin Pakistans various government institutions and departments related to labour and reveal the loss of billions of dollarscaused to Pakistans economy, including money leaving the country through illegal channels due to migrant jobseeker exploitation, neglect by the Pakistani authorities, and unethical and illegal recruitment practices that violate international labour Laws."

The Naya Mazdoor initiative has also attracted the interest of the International Labour Organisation (ILO) for future collaborations.

Need for coordination

The Employment Generation and Empowerment Plan along with the Naya Mazdoor Initiative Proposal has been in motion for review and approval by the government since April this year. It has also been shared with the Ministry of Overseas, Youth Affairs, NAVTTC and CPEC for the need of a collaborated effort to address issues such as labour exploitation and demand for manpower overseas and locally in industries such as textiles, construction including CPEC, Naya Pakistan Housing and other nationwide mega projects.

What Naya Mazdoor envisions

Continue reading here:

UAE-based Pakistani expat takes initiative to streamline recruitment of migrant workers - Gulf News

Journalist and writer Peter Jukes is suing Facebook for a loss of control over his personal data, as part of a class action claim on behalf of about one million users of the social media website.

Jukes claims that between November 2013 and May 2015, Facebook allowed a third-party app called This Is Your Digital Life to access not only the personal information of users who downloaded the app, but also that of their Facebook friends, without their knowledge or consent.

The consumer representative action filed by Jukes in the High Court of Justice in London says Facebook was in breach of its statutory duties under the Data Protection Act 1998.

The app, a personality quiz created in 2014 by an academic researcher called Aleksander Kogan, allegedly shared the Facebook data it collected with Cambridge Analytica, a political data-mining firm that paid Kogan to conduct his research and provide it with a copy of the data collected.

Facebook claimed it was misled by Kogan about how the data was used, and Kogan briefly launched his own legal action against the company in March 2019 on the basis that this claim was defamatory. However, the lawsuit was dropped a few months later because Kogan wanted to avoid an expensive legal battle.

Facebook profits from its billions of users, who reasonably rely on the platform to protect the personal information they entrust to it, said Jukes. Facebook exploited that trust by making users private data available to a third-party app, without their consent or even knowledge. This opened our personal data up to abuse.

It is only right that we, as consumers, hold Facebook to account for failing to comply with the law and for putting our personal data at risk, to ensure that this is not allowed to happen again.

Jukes is the founder and executive editor of campaigning website Byline Times, and a leading critic of Facebooks business practices.

The personal data allegedly harvested without users knowledge by the This Is Your Digital Life app included name, gender, location, tagged photographs and pages liked.

According to the Information Commissioners Office (ICO), which described these practices as a very serious data incident, the app was used by about 300,000 Facebook users worldwide, and collected the personal data of up to 87 million users globally. Facebook itself estimates that at least one million UK users were affected.

As a result of Facebooks alleged failure to comply with its statutory duties in the UK, the representative action started by Jukes will seek damages for all users affected, who can also participate in the legal proceedings without paying any fees or costs due to the case being funded by Balance Legal Capital, which also has after-the-event (ATE) insurance in place to cover the litigations expenses.

The claim is open to any user who, before May 2015, held a personal rather than business account on the Facebook platform; was Facebook friends with any person who, also before May 2015, was a user of This Is Your Digital Life; and was not a user of the app. The user must also have been a resident in England and Wales in the time period covered by the claim, and are still a resident as of 31 December 2020.

Jukes is being represented by international law firm Hausfeld, which specialises in data breach litigation and is experienced in conducting group actions.

Facebook breached its legal obligations to protect the data of its users, said Michael Bywell, a partner at Hausfeld. The law is clear that Facebook had a duty to safeguard users personal information a duty that it neglected. With an experienced team, committed class representative and funding and ATE insurance in place, we believe this claim offers the best avenue of redress for consumers who suffered at the hands of Facebooks failure to abide by data protection laws.

Commenting on the legal action, a Facebook spokesperson told Computer Weekly: The Information Commissioners Office [ICO] investigation into these issues, which included seizing and interrogating Cambridge Analyticas servers, found no evidence that any UK or EU users data was transferred by Dr Kogan to Cambridge Analytica.

It should be noted that Jukes claim does not rest on whether data was specifically transferred to Cambridge Analytica, but on the allegation that Facebook allowed third parties in this case This Is Your Digital Life to access users personal information without their knowledge or consent.

The ICO previously imposed its maximum penalty of 500,000 on Facebook for serious breaches of data protection law in October 2018 related to Cambridge Analytica, after finding that Facebook processed the personal information of users unfairly by allowing application developers access to their information without sufficiently clear and informed consent and allowing access even if users had not downloaded the app, but were simply friends with people who had.

Information commissioner Elizabeth Denham said at the time: Facebook failed to sufficiently protect the privacy of its users before, during and after the unlawful processing of this data. A company of its size and expertise should have known better and it should have done better.

A year later, in October 2019, Facebook settled with the ICO, agreeing to pay the 500,000 penalty but not accepting liability.

In a statement at the time, the ICO said Denham considers that this agreement best serves the interests of all UK data subjects who are Facebook users.

But addressing the UKs parliamentary subcommittee on online harms and disinformation in January 2021, Denham revealed that a secret arrangement between her office and Facebook prevented her from publicly answering whether or not Facebook had contacted the ICO about completing an app audit something Facebook CEO Mark Zuckerberg had publicly committed to before a US senate committee in April 2018.

I think I could answer that question with you and the committee in private, Denham told MP Kevin Brennan when asked whether or not the ICO was contacted about the audit.

There was no mention of this arrangement when details of the deal between ICO and Facebook were initially announced in October 2019, but Facebook, under the terms of the agreement, did obtain permission to retain documents disclosed by the ICO during the appeal for other purposes, including furthering its own investigation into issues around Cambridge Analytica.

Follow this link:

Facebook sued for data-sharing practices with third parties - ComputerWeekly.com