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Utilizing cloud computing has become more essential than ever as companies look to scale up their remote operations. 

Along with the convenience and flexibility cloud tech provides comes the need to secure the cloud, especially for businesses in industries with strict regulations.

Here are some examples of how companies are working with cybersecurity providers to implement cloud security solutions: 

Qlik is a software vendor that provides data visualization, executive dashboards, and self-service business intelligence (BI) to customers worldwide. 

They rely on AWS cloud to accelerate their business operations and adoption of Kubernetes for containers.

But when it comes to cloud sharing, keeping customer data secure is of utmost importance. 

Industry: Software

Cloud Security Product: Palo Alto Networks Prism Cloud


Static container scanning and run-time protection

Accurate image-scanning results

Centralized workload monitoring

Run-time protection

Read the full Qlik and Palo Alto Networks Prism Cloud case study here.

OneLink provides management consulting, outsourcing services, and custom integration solutions for clients in Latin America. 

With over 14,000 employees spread across 16 locations, OneLink’s business model requires reliable network connections and cloud infrastructure.

As they shifted the majority of their service agents into remote work, OneLink engaged in a massive deployment of virtual private networks (VPNs) to all of its employees to allow them to safely connect to the network.

“We chose FortiGSLB Cloud to improve the stability of the VPN connections of all our ‘incredibles’ working from, due to its ease of integration with our network architecture and cybersecurity,” says Alejandro Mata, director of IT operations at OneLink.

Industry: Technology

Cloud Security Products: FortiGSLB Cloud, FortiGate, and FortiAuthenticator


Secure and reliable remote access to company systems and applications

Stable connection for over 3,000 remote employees

Scalable, growth-friendly solution

Read the full OneLink and FortiGSLB Cloud case study here.

Mercedes-AMG is an engineering company that contracts manufacturers and engineers to customize Mercedes-Benz AMG vehicles. 

They collect a continuous stream of data from 18,000 channels from their racing cars, measuring variables from over 300 sensors, and generating 1 TB of data each race weekend.

Mercedes-AMG needed a way to protect their intellectual property and data flowing in from cars, while continuously monitoring the landscape for potential threats. However, they also wanted to eliminate the burden of having to manage a cybersecurity program in its entirety.

They selected CrowdStrike’s Falcon Complete Managed Endpoint Security as a cloud security solution.

“As a team, we generate, process and analyze significant amounts of data, very quickly — we must ensure our information systems are an enabler for performance, not a blocker. But conversely, we also need to ensure they are secure,” says Michael Taylor, IT director at Mercedes-AMG.

Industry: Motorsports and engineering

Cloud Security Product: CrowdStrike Falcon Complete Managed Endpoint Security


24/7 threat-hunting support team

Access to globally sourced threat intelligence in over 20 countries

Real-time data analysis for threat detection and mitigation

Read the full Mercedes-AMG and CrowdStrike Falcon Complete case study here.

Akami is a provider of edge security, web and mobile performance, and enterprise access and video-delivery solutions and services globally.

Due to the nature of their work, Akamai’s platform processes 250,000 edge servers deployed in thousands of locations worldwide each day. 

This reliance on long-distance connectivity makes cloud security and data protection a priority.

“OneTrust PreferenceChoice is run by our marketing team, and the nice thing about the tool is we have had to do very little on the legal side,” says Jim Casey, associate general counsel and chief data protection officer at Akamai. 

“That’s a really powerful aspect of the tool — it doesn’t require a team of lawyers and can be used cross-functionally throughout the business.”

Industry: Technology

Cloud Security Product: OneTrust PreferenceChoice and Website Scanning


Gaining customer trust

Tool and management flexibility

Direct support through implementation, scaling, and upgrading

Read the full Akamai and OneTrust PreferenceChoice case study here.

Corix is a utility and energy solutions provider. 

They harness natural resources and provide sustainable water, wastewater, electricity generation, and gas distribution solutions for districts and communities in the U.S. and Canada.

Corix also stores, manages, and analyzes massive volumes of customer and business data, ranging from individual consumers and business partners to municipalities and military installations.

“It became very apparent how incredibly difficult it would be for our small team to respond to a major incident at Corix,” says Carol Vorster, CIO at Corix. 

“Deploying FireEye was more cost-effective than paying for the eight separate, independent security products we had deployed at the time.”

Industry: Utility and energy

Cloud security products: FireEye Email Security Cloud Edition, FireEye Helix, and Mandiant Managed Defense


Saved money by cutting personnel costs and independent products

Streamlined security operations

Increased visibility across threat vectors

Fortified security posture with Mandiant experts on call

Read the full Corix and FireEye case study here.

You're reading Companies Using Cloud Security: Top Use Cases

Microsoft’s Vision Of Cloud Security

SAN FRANCISCO. When it comes to the cloud, transparency and control are the keys to security. That’s the message coming from Scott Charney, Corporate Vice-President of Microsoft’s Trustworthy Computing, during a keynote at the RSA security conference here.

“As people move to the cloud, how much transparency do they get into what is going on?” Charney remarked during his keynote.

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Charney said that in 2004 Microsoft started to implement its security software development lifecycle. The basic ideas was to have security in design, security by default and security in deployment. Charney said that Microsoft changed the way it updated systems and went to a regular patching cycle that aimed to help improve things.

One of the things that has changed since 2004 is that cyber attacks have become increasingly destructive. Charney said that in the past when data was stolen it didn’t always have an immediate impact.

“Destructive attacks like Sony are now happening and changing the conversation,” Charney said.

Charney noted that destructive attacks stop users from doing their daily business and he said that recent destructive cyber-attacks have changed the conversation in executive boardrooms.

Looking at the cloud, Charney said that there is a different type of risk with the cloud.

“As a cloud builder you love your customers, but some of your customers may be up to no good,” Charney said. “Organized crime and other bad actors can subscribe to a cloud service, so how do you protect the fabric from malicious VMs.”

Charney noted that it’s a complex challenge where organizations want to use cloud, but still be protected from the cloud since the good guys and bad guys all share the same cloud. Fundamentally, Charney said that the challenge is about risk mitigation, not risk elimination.

From a product perspective, Charney noted that Windows 10 will have the Windows Hello and Passport capabilities, which bring new biometric authentication capabilities to the desktop and secure user credentials. Microsoft is also introducing Device Guard, which is a technology to make sure only trusted apps run on a system.

“None of this is a panacea, we just want to narrow the attack surface, so you can be more intelligent about what you look for,” Charney said.

Specifically in the cloud, Microsoft Azure Key Vault will provide a cloud hosted hardware security module, and the customer lockbox for Office 365 provides enhanced customer approvals to protect user credentials. Additionally Microsoft is implementing best policies for Just in Time Administration so authorized individuals only get administrative access in a time-bounded way when needed, and will only get the access they need.

Charney said that destructive attacks have woken the market up.

“The cloud is the key, but there must be technically enforced trust boundaries with appropriate customer control and transparency,” Charney said.

Microsoft’s Scott Charney (Photo credit: Sean Michael Kerner)

Sean Michael Kerner is a senior editor at Datamation and chúng tôi Follow him on Twitter @TechJournalist

Graphic courtesy of Shutterstock.

Endpoint Security’s Role In Cloud Security

You’ll hear tech experts say that “we live in a world without perimeters.” Meaning, in a landscape based on cloud computing – with edge computing connecting countless devices – it can be difficult to pinpoint the exact technical boundary between entities. What’s “inside” a business’s area of protection when employees log on to numerous third party web-based services? Or when we’re all working – and socializing – remotely. Is work at home or is home actually the workplace?

At the core of this challenge is endpoint security. Those myriad endpoints that may or may not be secured – and which are the hallmark of a remote, cloud-based world.

Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.


In this webinar, we’ll discuss a core question: what is the relationship between endpoint security and cloud security? How can improving one improve the other?

Jamie Zajac, VP Product Management, Carbonite

Dave Dufour, VP Engineering and Cybersecurity, Webroot

Download the podcast:

Zajac: So I think that we really have to think about how people approach the different environments. What I found is that when people are using clouds like Azure or AWS, they tend to implement more modern code, more modern practices, using Platform as a service component, using tooling that’s specific for that environment. You can use a lot of those same tools or comparable on-prem and a lot of good practices. So I think I don’t look at it as more as which one is inherently more or less secure, but I think that people need to understand the practices that they’re taking in either environment and the tools, and then make sure that they’re appropriate and up to the job that they’re trying to ask that tool to do for them.

Dufour: I completely agree that right now, cloud, potentially, is more secure depending on the infrastructure. But security’s like a shark, stops swimming, it dies. And so I think from an engineering perspective, I’d give the cyber criminal some time, and I think we’ll see some breaches in some areas.

Zajac: So I think endpoint security has benefited from the hyperscale of the cloud, that this has really allowed the transformation from signature-based files or signature-based detections to using the power of machine learning of AI, of the hyperscale clouds, to do that and to make it accessible to, fundamentally, every business and every consumer at this point.

And we’ve seen that trend over many years, and we’ve obviously seen it accelerate this year to the factors that we all are aware of. And so I think having the cloud be available and having endpoints get their intelligence from the cloud helps those devices be more protected than they could’ve been, say three or five years ago, or definitely 10 years ago.

Dufour: We have a cloud-first vision on our security because it’s just so much quicker and easier. We see a zero day. We maybe capture it on one endpoint, we’re able to update the entire base that we’re trying to protect simply by making that change up to the cloud. Now, one thing that’s interesting with the pandemic, people working from home, is we’ve seen a huge uptick in the use of endpoint security, where people maybe at home had let stuff lapse, now all of a sudden they’re that perimeter defense and the IT departments can no longer lock down the office.

Dufour: We’ve seen a massive increase in emails around getting your check from the government, “Hey, fill this out. There’s a stimulus check coming. Give us your information, we can get you that check faster.” So there’s a lot of stuff that’s really playing on COVID and people are just really having to pay attention.

Zajac: I think sometimes, people fool themselves into thinking that there’s a silver bullet, that there’s a single tool that if they buy or they implement, that they’re protected. You really gotta do a proper assessment of understanding what data do you have, where is it, who has access to it, and how are you protecting it? And I think if you really ask some of those key questions for every application that you’re running, for every server that you’re running, whether it’s a SaaS application, whether it’s on-premise, whether it’s running in a public cloud, if you know what you have, who has access to it and how you’re securing it, yeah, you’ll probably scare yourself into making some different decisions, ’cause you’ll realize that by default, you didn’t use the best practices, or by default something was wide open or more open than you wanted it to be. So I think you really start with those key questions and do a self-assessment.

Zajac: I think automation is key ’cause if you’re relying on humans, humans make errors. We talked about them being distracted, that’s really common. So the more you can automate and put into templates and make rinse and repeatable, the higher compliance you’re gonna have.

Dufour: But something that is critical that we haven’t even spoke about here, depending on the type of attack you’re experiencing, a data breach is one thing, but most places nowadays are experiencing a lot of ransomware issues simply because ransomware, people can make money. And the number one way to protect yourself there is to make sure you’ve got good back-ups. Back-up is a cornerstone to actual cybersecurity, and it’s just something that we all need to be aware of, we need to take care of.

Zajac: So my crystal ball says it’s gonna be all about the network and the web and the internet traffic. It’s not gonna be about files, it’s gonna be about someone trying to be nefarious, someone trying to trick you on a website, trying to get in via malicious traffic. I think that’s gonna be paramount. Protect your network, not just your firewall, your internal network, but inspect it and have a good solution for looking at the traffic on your endpoint devices itself.

Dufour: So I think we’ll always have some type of endpoint solution that’ll try to protect us from phishing files and things, but I completely agree with Jamie. We’ve gotta get more to a network-based security posture where we’re able to detect threats that are in transit, both file-borne, phishing-borne, but also like data extraction and things like that. The network I really think will become more and more important because it’s gonna become nearly impossible to put endpoint solution on all of the types of mobile devices, all of the IoT devices, just everything, it’s just the network is where it’s gonna be at.

Cloud Security Market Forecast & Analysis

The 2023 SolarWinds cyber attack is widely considered one of the worst security incidents in recent years and — after the smoke clears (investigations are still ongoing) — will likely take the prize for the biggest cloud security failure in history.

With Microsoft, Cisco, Intel, NATO, the U.K. government, the U.S. government, the European Parliament, and thousands of other high-profile customers falling victim to the attackers, the incident illustrates how security failures in today’s integrated cloud environments can have such a devastating and widespread impact, catching even the most well-protected organizations off guard. 

Cloud security failures on several levels ultimately led to the successful supply chain attack. Initially, cyber criminals were able to infiltrate SolarWinds’ internal systems by first compromising its Microsoft 365 email services and Azure cloud infrastructures. This ultimately led to attackers being able to move laterally through the cloud, accomplishing their mission to hide malware in SolarWinds software updates to customers.

Amazon Web Services (AWS) also came under fire for enabling the cyber criminals to utilize its infrastructure-as-a-service (IaaS) resources to carry out the attack. This reveals an interesting facet of cloud security that makes it unique from other cyber disciplines: with instantly provisioned and scalable IT resources, effective cloud security becomes not just a matter of protecting the business from being attacked — it’s also about not being used unwittingly to attack others.

With the rise of software-defined networks (SDN), DevOps, and cloud automation platforms, the line between application and infrastructure security has been gradually blurring.

For this reason, cloud security is a unique discipline, as traditional security approaches fail to keep up with rapidly evolving agile environments and DevSecOps processes. Developers working in cloud-based environments frequently use containerization software, like Docker, for application portability as well as Kubernetes to orchestrate (e.g., spin up/down en masse) and cluster those containerized applications.

These environments specifically require cloud security solutions versus traditional security platforms designed to protect on-premises IT networks and assets.

Additionally, with many enterprises using a mix of public cloud-based infrastructure/apps and private cloud or on-premises IT assets, hybrid cloud security is also a rapidly growing space.

The global cloud security market is worth $34.8 billion in 2023 and is expected to hit $67.6 billion by 2026, increasing during that period at a compound annual growth rate (CAGR) of 14.2%, according to chúng tôi

The shift of the global workforce to the home office — and subsequently the public cloud — has resulted in a spike in cyber crime as malicious opportunists seek to prey on less-experienced internet and email users as well as enterprises as their IT and security staff are busy transitioning to a global remote workforce.

In the past, cloud security solutions were primarily designed to address the needs of cloud-native applications and/or virtual infrastructures.

Newer cloud-based offerings provide unified security management and orchestration for both on-premises networks and cloud infrastructures.

Not only does this streamline administration and allow for cloud-based management of on-premises IT resources, it also enables organizations to leverage the metered resources to quickly scale up protective measures against active cyber attacks or malware campaigns.

See more: Key Cybersecurity Trends 2023

Public cloud providers such as AWS, Google Cloud, and Microsoft Azure enable developers to quickly spin up the virtual infrastructure resources needed to build their applications on top of the cloud.

This makes modern software development arguably the most prominent use case in the cloud security space. Indeed, several vendors market products on the cloud application side of affairs — most notably cloud access security broker (CASB), container security, and zero-trust access solutions.

Secure access service edge (SASE) in particular has seen a dramatic increase in adoption during the global pandemic, mainly due to the massive shift toward working from home.

With employees using unmanaged devices to access corporate IT environments in droves, the limitations of legacy virtual private network (VPN) and traditional remote access quickly manifest themselves in poor application performance, availability issues, and the emergence of security gaps.

Use cases abound for general enterprises looking to leverage the cloud for providing remote workers a more secure, rapid response to corporate network resource demands.

The following are 10 leading cloud security vendors, from cloud security monitoring services to security for hybrid cloud environments:

Halo, Cloud Passage’s flagship platform, improves the security of private/public/hybrid cloud deployments by automating cloud security and compliance controls.

Forcepoint develops secure access service edge (SASE) solutions, among others, as well as a cloud access security broker (CASB) solution: a cloud/on-premise hardware or software device that sits between users and cloud service providers to monitor for security issues.

Now a part of VMware, Carbon Black offers a cloud-native platform for endpoint protection. The solution features a wide array of features, from threat hunting to its next-generation antivirus (NGAV)—AI-powered malware detection/prevention..

Acqua focuses on security monitoring for cloud environments—virtual and serverless infrastructure, microservices, containers, and more.

The recent acquisitions of Twistlock and Puresec position Palo Alto Networks solidly in the container and serverless security space. Leading cloud-native app developers have already found these two vendors’ offerings indispensable; now, they’ve joined the cybersecurity giant’s lineup of leading solutions, from the cloud to the edge.

Qualys offers a platform for cloud security that includes cloud agents, scanners, sensors, SaaS connectors, and more for comprehensive visibility and insights regarding potential security gaps and vulnerabilities.

Zscaler is focused on developing cloud-native security solutions such as its Zscaler Internet Access—a security stack as-a-service delivered completely via the cloud, and Zscaler’s Private Access (ZPA), a cloud service that enforces zero-trust access for private applications in the public cloud or on-premise data center.

A leader in identity security, CyberArk is known for its Privileged Access Manager, designed specifically for mitigating account exploitation risk in AWS public cloud/hybrid environments.

Incidents like the SolarWinds data breach illustrate how integral cloud security is to the software ecosystems of today.

In an age of software as-a-service (SaaS), integrations, and APIs, enterprises must adopt a layered cloud security strategy leveraging some (or most) of vendor technologies.

Cloud security solutions must also be multi-faceted and capable on several levels: to protect the growing number of hybrid cloud deployments as well leverage AI/ML to counter increasingly sophisticated cyber attackers.

Top 50 Companies For Ai Chatbots

This article enlists 50 chatbot companies that provide conversational AI solutions for varied domains and platforms.

AI chatbots have revolutionized the way businesses interact with their customers. These intelligent virtual assistants can understand natural language and provide personalized responses to customer queries, leading to improved customer satisfaction and increased sales. With the rise of AI technology, more and more companies are integrating chatbots into their customer service strategies. Analytics Insight has come up with a list of AI chatbot providers to assist organizations in finding the best chatbot provider. These platforms assist several businesses and individuals in comparing chatbot providers based on features like customization, integration potential, and cost.


Company: Ada

Headquarters: Toronto, Ontario, Canada

Release Date: 2023

Features: Ada chat includes a chat builder module with drag-and-drop capabilities, which assists professionals with designing custom chatbots using automated replies, multimedia content, and A/B testing.

Free trial/Pricing: Available for a free trial

Google Rating: 4.6


Headquarters: Palo Alto, California, United States

Release Date: 2023

Features: Features of chúng tôi Prediction, natural language processing, Coherence and Context, conversant AI, Electronic assistant, Recognition of intent, Screen conversations, and Development Without Code.

Free trial/pricing: Available for a free trial

Google Rating: 4


Company: atSpoke

Headquarters: San Francisco, California, United States 

Release Date: 2023

Features: atSpoke features are knowledge management, ticketing, and an employee self-service site powered by AI, Answers to inquiries received via email, online, SMS, and Slack thanks to atSpoke’s multi-channel chatbot.

Free trial/pricing: Available for a free trial, monthly US$3.00

Google Rating: 4.7


Company: Microsoft Corporation

Headquarters: One Microsoft Way Redmond, Washington, U.S.

Release Date: 2009

Features: Bing is provided with specifications like food preferences, spending limits, location, or time allotment, it can carry out sophisticated activities like meal planning.

Free trial/pricing: Free

Google Rating: 3.58


Company: Genesys

Headquarters: Boston, Massachusetts, United States

Release Date: 2023

Features: Bold360 features include live chat, messaging, mobile engagement, agent productivity management, AI self-service, reporting, and analytics.

Free trial/pricing: Yearly US$20,000

Google Rating: 3.3

chúng tôi

Company: Scandinavian software company

Headquarters: Sandnes, Rogaland, Norway.

Release Date: 2023

Features: helps businesses to create, implement, and manage chatbots to automate interactions with clients and staff and provide scalable answers to inquiries.

Free trial/pricing: Free Trail

Google Rating: 4.8


Company: Botsify

Headquarters: Karachi, Sindh, Pakistan

Release Date: 2023

Features: Botsify is a multi-language powerful chatbot that helps in Integrations, and client Support, and automates difficult client interactions in minutes.

Free trial/pricing: Monthly US$25

Google Rating: 4.3


Company: ChatBot

Headquarters: Boston, Massachusetts, United States 

Release Date: 1994

Features: ChatBot features are Unsupervised AI Learning (NLP/NLU), Omnichannel Messaging, Live Chat Handover & Intelligence, No-Code Visual Flow Builder, and Sentiment Analysis.

Free trial/pricing: Monthly US$52

Google Rating: 4.4


Headquarters: San Francisco, California

Release Date: November 30, 2023

Features: ChatGPT is a natural language processing tool driven by AI technology that allows you to have human-like conversations and much more with the chatbot. 

Free trial/Pricing: Free and its latest version ChatGPT Plus is US$20

Google Rating: 4.6


Headquarters: San Francisco, California

Release Date: December 12, 2023

Features: ChatSonic is an AI-powered virtual assistant that can create digital artwork/images, respond to voice commands, and generate text.

Free trial/Pricing: Free Trial up to 2,500 words

Google Rating: 3.7

Headquarters: Paris, Ile-de-France, France

Release Date: November 1, 2023

Features: CSML helps chatbot development teams build truly intelligent, maintainable, and scalable chatbots, integrated with your favorite apps, on any channel, with full control over your source code.

Free trial/Pricing: Free for 30 days trial, US$20/month for Pro, and US$1500 for Enterprise

Google Rating: N/A

Dasha AI

Headquarters: New York, United States

Release Date: August 2, 2023

Features: Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. 

Free trial/Pricing: Free

Google Rating: N/A


Headquarters: Sunnyvale, California

Release Date: October 14, 2023

Features: Dialogflow is an NLP (Natural Language Processing) platform which is used to develop an application related to the conversations and experiences of the company’s customers in different languages on numerous media.

Free trial/Pricing: Free

Google Rating: 4.3


Headquarters: Boston, Massachusetts 

Release Date: 2023

Features: Drift is a cloud-based live chat, in-app messaging, and email management solution for sales and marketing teams.

Free trial/Pricing: Provides free plan and Pro plan starting from US$2500/month

Google Rating: 4.4


Headquarters: Kharkiv, Ukraine 

Release Date: January 1, 2023

Free trial/Pricing: Weekly US$2.99, Pro Monthly (1 month) US$28.99 

Google Rating: 4.5

Flow Xo

Headquarters: Padiham, England

Release Date: August 29, 2014

Features: Flow XO provides a user-friendly and feature-rich AI chatbot platform that allows anyone to build code-free online chatbots swiftly.

Free trial/Pricing: Offers a free plan and trial with a standard plan priced at US$19

Google Rating: 4

HubSpot Chatbot Builder

Headquarters: Cambridge, Massachusetts

Release Date: March 6, 2023

Free trial/Pricing: Free to use

Google Rating: 4.4

IBM Watson Assistant

Headquarters: Yorktown Heights, New York

Release Date: June 1, 2023

Features: IBM Watson Assistant helps you build conversational interfaces into any device, application, or channel. It has features like model training, language support, and more.

Free trial/Pricing: Free to use

Google Rating: 4.4


Headquarters: California, USA

Release Date: 2023

Features: Imperson develops turnkey chatbot solutions that automate the entire customer journey, naturally, through conversation.

Free trial/Pricing: Free to use

Google Rating: 4.5


Headquarters: Foster City, California

Release Date: November 13, 2023

Features: Inbenta is an AI chatbot powered by Semantic Search and Artificial Intelligence that provides excellent customer experience.

Free trial/Pricing: US$4000.00; $15.00/Per Month

Google Rating: 4.7


Headquarters: New York

Release Date: 2013

Features: Infeedo engages employees, predicts attrition, and answers your queries with the help of conversational AI.

Free trial/Pricing:

Google Rating: 4.8


Headquarters: San Francisco

Release Date: 2011

Features: The Chatbot uses targeted email, in-app messages, and mobile push to encourage customers and takes action to convert them into loyal customers.

Free trial/Pricing: starts from US$65/month for up to one year

Google Rating: 4.5


Headquarters: Paris, Ile-de-France, France.

Release Date: April 26, 1974

Features: itsAlive provides a platform to build chatbots easily and provides services to the brands that stand out.

Free trial/Pricing: Free

Google Rating: 4.5


Headquarters: Austin, Texas, United States

Release Date: December 23, 2023

Features: Jasper’s features include its ability to handle complex queries and respond conversationally and naturally. It also integrates with various communication channels.

Free trial/Pricing: Free

Google Rating: 4.8


Headquarters: New York

Release Date: August 22, 2023

Features: Kasisto is a banking AI chatbot that helps in making it easy in adding new features, services, and channels.

Free trial/Pricing:  

Google Rating: 4.1


Headquarters: European Union (EU)

Release Date: 2023

Free trial/Pricing: Free

Google Rating:4.6


Headquarters: New York, United States

Release Date: 1995

Features: LivePerson offers a Web-based engagement service.

Free trial/Pricing: Starting From $40Annual, Monthly, Quote-based

Google Rating: 2.9


Headquarters: San Francisco, California, United States   

Release Date: 2023

Features: Message broadcasting, drip marketing, A/B testing, audience segmentation, and lead conversion.

Free trial/Pricing: 7-Day Free Trial

Google Rating:4.3


Headquarters: 1779 Trillium Blvd, Spring Hill

Release Date:2010

Features: An intelligent medical and health helper capable of answering difficult medical concerns

Free trial/Pricing: Free

Google Rating:4.4

Microsoft Bot Framework

Headquarters: Hilden, Germany

Release Date:2023

Features: A set of libraries, tools, and services for creating, testing, deploying, and managing intelligent bots.

Free trial/Pricing: Free

Google Rating:4.3

Mobile Monkey

Headquarters: Boston, Massachusetts, United States

Release Date:2023

Features: Adobe Implementers and Consultants

Free trial/Pricing: Mobile Monkey has three pricing plans Free, Pro ($49/mo), and Premier ($149/mo)

Google Rating:3.2


Headquarters: San Francisco California

Release Date:2023

Features: Deep reinforcement learning is used to automate personalized messages and engage in genuine discussions.

Free trial/Pricing: Free

Google Rating:4.8


Headquarters: Oakland, California, United States

Release Date: 2008

Features: Custom, content, learning, community, and voice interfaces that are deployable, multilingual, and free.

Free trial/Pricing: The Developer Plan ($19/month) includes 10,000 channel messages each month, $9 per third-party channel, and $3 for every extra 1,000 messages.

Google Rating:5


Headquarters: Scottsdale

Release Date: 2004

Features: A logically self-contradictory assertion or a statement that contradicts one’s expectations.

Free trial/Pricing: $1,700. per month

Google Rating:4.6


Headquarters: San Francisco

Release Date: 2023

Features: Replika’s emphasis is on a meaningful conversation, it can utilize past contributions to your life and tailor itself as indicated by you. Create a Replika avatar, give it a name, and change how it looks to get started.

Free trial/Pricing: Replika’s Pro membership begins from $19.99 per month

Google Rating: 3+

Headquarters: Gurugram, Haryana

Release Date: 2023

Features: When the AI engine determines that human assistance is required, it seamlessly hands over conversations to your team on Hootsuite.

Free trial/Pricing: This application provides a 14-day free trial

Google Rating: 4+

Headquarters: Campbell, CA.

Release Date: 2023

Features: Make all conversations automatic. Provide a consistently excellent customer experience throughout the customer journey. Deploy and improve bots rapidly and cost-effectively.

Free trial/Pricing: Free

Google Rating: 4+


Headquarters: San Francisco

Release Date: 2023

Features: Powered by machine learning and predictive intelligence. Builds contextual understanding and makes use of the data already in Salesforce to bring the best responses to the surface.

Free trial/Pricing: This application provides a 30-day free trial

Google Rating: 3+

SAPConversational AI

Headquarters: Paris, France

Release Date: 2023

Features: Using a single interface, AI-powered chatbots can be trained, built, tested, connected, and monitored across SAP and third-party solutions to simplify user experiences and business tasks.

Free trial/Pricing: This application provides a 90-day free trial

Google Rating: 5


Headquarters: San Francisco, California, United States

Release Date: 2023

Features: With Smartloop, you can utilize conversational AI to nurture your subscribers depending on their interests, resulting in more sales. You can increase client retention by having one-on-one discussions and sharing compelling material.

Free trial/Pricing: This application provides upto 100 subscribers on a free plan

Google Rating: 5


Headquarters: Herzliya, Tel Aviv, Israel

Release Date: 2023

Features: It is a platform for creativity that enables organizations together messaging experiences across multiple channels. Facebook Messenger, Line, Telegram, SnatchApp, and Skype are just a few examples.

Free trial/Pricing: This application provides 2000 free messages for 14 days in a free trial

Google Rating: 4+


Headquarters: Palo Alto, CA

Release Date: 2023

Features: This incorporates determining the Net Promoter Score, capturing employee feedback, boosting customer satisfaction and turning them into brand ambassadors, undertaking market research to aid decision-making, obtaining insights from website visitors, and more.

Free trial/Pricing: This application provides a 14-day free trial.

Google Rating: 4+


Headquarters: San Franciso, California, United States

Release Date: 2013

Features: The web-based live chat platform is called Tidio Chat. Chat widgets on websites, Facebook Messenger, and emails were included to help agents deal with customers. Tidio allows users to personalize a selection of chat widgets, sidebars, and chat pages.

Free trial/Pricing: Free subscription and its pro version starts from US$15.83/month

Google Rating: 4.3


Headquarters: Malmo, Skane Lan, Sweden

Release Date: 2007

Features: With the help of enhanced chat, chatbots, and video/voice, businesses can communicate with online customers using the digital engagement platform Vergic Engage.

Free trial/Pricing: US$38/month

Google Rating: 4.5


Headquarters: Hong Kong

Release Date: 2023

Features: A complete WhatsApp API solution called WATI is made specifically for small and medium-sized organizations. WATI helps SMBs sell, market, and service their clients more effectively by utilizing its strong chatbots, APIs, integrations, and customer intelligence capabilities.

Free trial/Pricing: US$49/monthGoogle Rating: 3.9

chúng tôi

Headquarters: Orlando, Florida, United States

Release Date: 2013

Features: Natural and human-like chatbot conversations are made possible by’s usage of Natural Language Processing (NLP) and Machine Learning (ML), enabling it to grasp the intent of user questions and offer precise and pertinent information answers.

Free trial/Pricing: US$500/month

Google Rating: 4.7

chúng tôi

Headquarters: New York, United States

Release Date: 2014

Features: With the tool chúng tôi organizations may communicate optimum availability and arrange meetings.

Free trial/Pricing: US$8/month

Google Rating: 4.3

You Chat

Headquarters: Palo Alto, California, United States

Release Date: 2023

Features: YouChat is a chatbot that works similarly to ChatGPT and responds very immediately. With references, it can send letters, translate, provide ideas, summarise content, translate, suggest translations, and even develop code.

Free trial/Pricing: Free

Google Rating: 4.7

Zendesk Answer Bot

Headquarters: San Francisco, California

Release Date: 2023

Features: Zendesk offers prompt responses. With the help of this platform,  can provide reply alternatives as per the clients’ convenience.

Free trial/Pricing: $49 per month

Google Rating: 4.3

Zoho SalesIQ

Headquarters: Chennai, India

Release Date: 2023

Features: Zoho SalesIQ is software that anyone can use to create custom chatbots to automate interactions with their customers or prospects

Free trial/Pricing: Free, premium version has certain charges

Top 7 Rpa Applications & Use Cases In Real Estate In 2023

Real estate and property management involve multiple data processing tasks, including management of documents, inventory, and other key processes (no pun intended), such as, procurement, accounting, reconciliation, etc.

These data-heavy, documented, and rules-based processes in real estate can reduce the productivity of employees and the business.

Thanks to Robotic Process Automation (RPA) technology, 70-80% of rules-based processes can be automated, thus making the real estate industry, which is ridden with rules-based workflows, ripe for automation. Delegating mundane tasks to bots can allow realtors to focus on more important tasks, such as closing deals, providing personalized support to home-buyers, and helping them find the best accommodation with respect to their budget and needs.

In this article, we discuss the top 7 use cases and applications of RPA in the real estate industry.

What is RPA in real estate?

RPA is the technology to automate processes that have a high degree of standardization and repetition rates. 

RPA’s ability to perform and automate tasks such as:

What are the applications and use cases of Robotic Process Automation in real estate?

We have spotted 60+ RPA use cases, and almost half of them applied to real estate since these processes include daily, back-office activities every business needs to perform.

Here are the common real estate processes RPA can automate:

Real Estate Operations 1. Tenant onboarding

A tenant’s onboarding process has various manual and time-consuming tasks that could result in a negative customer experience. The subsequent disillusionment might lead them to pass on the opportunity and sign a deal with a competing landlord.

RPA bots can be programmed to extract and process information to handle rule-based tasks in the tenant onboarding process. Specifically, they can:

Create a new tenant application

Run criminal background checks

Verify income, employment, and references

And approve or disapprove the applicant based on whether they’ve passed the aforementioned preliminary checks.

2. Payment reminders

Late payments are a common, repetitive, and emotionally taxing part of real estate management. Automating rent payment reminders include setting up a bot for checking incoming payments to verify the payee’s information, and sending email reminders to non-paying tenants.

3. Portfolio Management

Portfolio management, the same as traditional asset management, is the process of managing real estate assets to preserve, optimize, and increase their value. Real estate portfolio optimization is offloading underperforming properties and purchasing those that are in demand or have room (no pun intended) for growth.

Visibility into the specifics of a portfolio’s assets can make portfolio management more efficient and streamlined. For instance, RPA enables realtors to automatically list the sold-out/rented properties from the ERP systems, and update the data on multiple websites simultaneously to offer high visibility into the existing properties.

4. NAV calculations

The net asset value (NAV) is one of the useful metrics for assessing the value of a real estate investment trust (REIT). Net asset value (NAV) in private real estate investing is the total value of an asset, minus any outstanding debt and the cost of any fixed or planned capital expenses.

Real estate investors should understand NAV because asset prices are what drive current and future investor returns. For example, an increase in NAV correlates with an increase in distributable dividends to the investors who had invested in the property.

Real estate investors can automate some of the NAV calculation steps by using RPA solutions. NAV calculation consists of manual and labor-intensive steps such as collecting, validating, and processing market data and applying this to the funds to calculate a complete and accurate NAV.

For example, Maitland, an investment and fund administration company, automated the NAV processes for 500 of their 700 funds with an RPA solution1.

5. AML/KYC Compliance

RPA bots can validate existing customer data on transactions by extracting customer data from various internal ERP sources. Customer info can be verified autonomously or transferred to an employee for review. RPA also can automatically send emails with alerts to frontline staff requesting necessary KYC documentation.

RPA also minimizes human contact with sensitive data which reduces the probability of fraud and compliance issues. This allows a detailed audit in case issues arise.

See our articlea about:

Financial Operations 6. Accounts Payable (AP) / Accounts Receivable (AR) automation

With the further augmentation of RPA with machine learning and document extraction technologies such as Optical Character Recognition (OCR), businesses can automate most of AP and AR sub-processes, such as data verification, balance sheet forecasts, invoicing, and more.

7. Bank & Account Reconciliation

RPA can automate the extraction of bank statements from different banks, that the real-estate firm works with, in order to reconcile their account, and cross-match them with their general ledger entries.

RPA simplifies this process by uploading downloaded bank statements to a shared drive or financial application for account reconciliation.

For more on RPA

To learn more on RPA, feel free to read our comprehensive research on the topic:

To get a more in-depth look into RPA, download our RPA whitepaper below:

And if you still have questions on RPA applications in real estate, don’t hesitate to contact us:

If you feel like you would benefit from RPA in your business, you can check out our prioritized, comprehensive list of RPA vendors to choose the right RPA vendor for your business.


NAV calculation case study

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





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