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Monthly Archives: May 2021
The New EU Approach to the Regulation of Artificial Intelligence – JD Supra
Posted: May 11, 2021 at 11:04 pm
European Commission publishes communication and proposal for a Regulation on Artificial IntelligenceIntroduction
The European Commission (the "Commission") recently published its highly-anticipated communication and proposal for a "Regulation laying down harmonised rules on artificial intelligence"[1] (the "AI Regulation"). The AI Regulation is the first ever legal framework, globally, focused solely on artificial intelligence ("AI") and has striking similarities to the GDPR. If adopted as drafted, the AI Regulation would have significant consequences for many organisations who develop, sell or use AI systems, including the introduction of a new set of legal obligations and a monitoring and enforcement regime with hefty penalties for non-compliance.
At its heart, the AI Regulation is focused on the identification and monitoring of "high risk" AI systems and the key questions for organisations who develop, sell or use AI will be whether the AI system in question is likely to be considered "high risk" and what this means for those "high-risk" AI systems if the AI Regulation is adopted, as drafted.
This article concentrates on the key aspects of the AI Regulation and the implications for organisations that provide AI systems that have some degree of nexus with the European Union ("EU").
The AI Regulation governs the "development, placement on the market and use of AI systems in the [EU] following a proportionate risk-based approach"[2]. As a Regulation, it will introduce a "uniform application of the new rules the prohibition of certain harmful AI-enabled practices and the classification of certain AI systems"[3], which will have direct effect in all EU Member States. The AI Regulation applies across all sectors (public and private) to "ensure a level playing field"[4].
As an EU regulation, it has immediate effect and does not need further implementation by the EU Members States. A violation of the AI Regulation can potentially even lead to civil claims of individuals under Member State law.
The AI Regulation defines AI as "software that is developed with one or more of the techniques and approaches listed in Annex I [of the AI Regulation] and can, for a given set of human-defined objectives, generate outputs such as content, predictions, recommendations, or decisions influencing the environments they interact with"[5].
Recognising the pace of technological development, the EU has attempted to make the definition "as technology neutral and future proof as possible"[6]. Accordingly, Annex I can be "adapted by the Commission in line with new technological developments"[7].
Like the GDPR, the AI Regulation is intended to have extraterritorial effect. Subject to some specific exceptions, the AI Regulation applies to:
The AI Regulation introduces a four-tier system of risk:
Examples include: (i) Subliminal techniques beyond an individual's consciousness in order to materially distort their behaviour; (ii) exploiting the vulnerabilities of a specific group of individuals due to their age; (iii) social scoring by public authorities; and (iv) "real-time" remote biometric identification systems in publicly accessible spaces used for law enforcement purposes (subject to limited exceptions).
Examples include: (i) "Real-time" and "post" remote biometric identification; (ii) evaluating an individuals' creditworthiness (except where used by small scale providers for their own use); and (iii) the use of AI systems in recruitment and promotion (including changes to roles and responsibilities) in an employment context.
"High-risk" AI system requirements and obligations
Chapter 2 of Title III sets out detailed "requirements" for "high-risk" AI systems. Chapter 3 of Title III sets out specific "obligations" on providers, users and other participants across the AI value chain (e.g. importers and distributors).
Providers[8] are responsible for the majority of the specific obligations in relation to "high-risk" AI systems including:
Additional responsibilities of providers, in relation to "high-risk" AI systems, include:
Obligations on other parties in relation to "high risk" AI systems
Chapter 3 of Title III establishes specific obligations for importers which are covered at Article 26, distributors at Article 27, and users at Article 29. Other obligations, which broadly covers "distributors, importers, users or any other third-party" can be located at Article 28. These parties will assume the same, extensive, obligations as providers in relation to "high-risk" AI systems, if they:
Notifying authorities and conformity assessments
Under Chapter 4 of Title III, Member States are obliged to establish a "notifying authority", responsible for the assessment, designation and notification of "conformity assessment bodies", which carry out independent assessment activities (testing, certification and inspection) of "high-risk" AI systems.
Chapter 5 of Title III sets out the "high-risk" AI system conformity assessment regime under the AI Regulation.
At Article 71, the AI Regulation provides for a GDPR-like sanction regime for non-compliance. The percentages are based upon a company's total worldwide annual turnover of the preceding financial year:
Notably, the AI Regulation does not provide for a specific right to compensation (i.e. an equivalent of Article 82 GDPR), which may provide some comfort. Of course, this does not exempt an AI system caught by the AI Regulation from the GDPR where a private right of action remains under Article 82 GDPR.
Although the AI Regulation does not provide for a specific right to compensation, a violation of the the AI Regulation (because it is an EU regulation, rather than a directive) can potentially even lead to civil claims of individuals under Member State law.
Each Member State must designate at least one national competent authority to supervise the AI Regulation's application and implementation and carry out market surveillance activities. It is likely that these powers will be designated to existing regulatory bodies such as data protection authorities.
Like the GDPR, the AI Regulation would see the establishment of an 'overarching' board to facilitate a smooth, effective and harmonised implementation of the new rules (the AI equivalent of the European Data Protection Board). The EAIB would consist of representatives of national competent authorities, the European Data Protection Supervisor, and the Commission.
To echo the comments of the Commission's Executive Vice-President, Margrethe Vestager, the AI Regulation is nothing short of "a landmark proposal". As drafted, the AI Regulation contains extensive regulatory compliance implications for organisations across a wide range of sectors.
As for next steps, the European Parliament and the Member States will look to adopt the Commission's proposals in the ordinary legislative procedure. During that time, the proposal is likely to be subject to extensive scrutiny and amendment. Once adopted, the final AI Regulation will be directly applicable across the EU. The AI Regulation includes a two-year period for application following adoption of the final regulation, which means that the new law could apply as early as 2024.
Although the AI Regulation is currently in draft form it is sensible for AI providers and other participants in the AI value chain (particular those who may fall into the "high risk" category) to acquaint themselves with the proposed requirements of the AI Regulation as, based on the political "mood music" it is likely that a similar regulation of AI is on the horizon.
The GDPR is well-known for spearheading the global privacy "revolution". Time will tell whether the AI Regulation, which draws clear influence and inspiration from the GDPR, serves as the catalyst for a new dawn of international AI regulation - we suspect that it will.
[1] Explanatory Memorandum to the proposal (page 1).
[2] Explanatory Memorandum to the proposal (page 3).
[3] Explanatory Memorandum to the proposal (page 7).
[4] Explanatory Memorandum to the proposal (page 6).
[5] Article 3(1) of the AI Regulation.
[6] Explanatory Memorandum to the proposal (page 12).
[7] Explanatory Memorandum to the proposal (page 12).
[8]'Provider' means a natural or legal person, public authority, agency or other body that develops an AI system or that has an AI system developed with a view to placing it on the market or putting it into service under its own name or trademark, whether for payment or free of charge
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Automation Consulting | Bain & Company
Posted: at 11:04 pm
Automation is changing how companies work. But, even as many companies explore the possibilities through pilot projects, they struggle to scale automation across the enterprise. And, too often, the benefits have not met expectations.
We believe that success in automation requires more than just great technology. We collaborate with you on an end-to-end automation journey that begins by aligning the organization around the opportunityand what it will take to capture itand progresses through every stage of business and technical planning, culminating in successful deployment and the realization of the full potential value.
We think boldly about the possibilities of automation and how it fits into your companys business strategy.We work collaboratively with your business and technical teams to identify and prioritize the right automation opportunities, develop the business case, conduct proof-of-concepts and pilots, and support fully scaled deployments.Most importantly, we help you put in place the right governance and change management that will work in your unique culture.
Our Automation Center of Excellence is home to a dedicated team of experts who can help your organization map and accelerate your automation journey. In addition to our in-house experts we rely on a network of top-of-the-line technology and service partners who specialize in traditional and cutting-edge automation applications.
We support the full spectrum of automation possibilities to ensure that you generate maximum value from your automation efforts. The technologies we work with include:
Finally, automation is only as good as the results achieved from it whether thats cost savings or other benefits, such as improved customer experience, lower error rates or greater speed. We help you redesign your business processes to optimally combine people and technology so that your automation efforts fully meet your expectations.
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Why Automation and Zero Trust Go Hand-in-Hand – Security Intelligence
Posted: at 11:04 pm
Zero trust can reshape how businesses approach digital security. The idea is to distrust by default, regardless of whether the information is located inside or outside the corporate network. From there, security teams can verify devices, apps and connections on a case-by-case basis. They should also re-verify the trust of those network assets on an ongoing basis. Thats fine in theory, but it sure sounds like a lot of time and effort in practice. How can we make it easier?
Cisco expects the number of devices connected to IP networks to grow from 18.4 billion in 2018 to 29.3 billion by 2023. Thats nearly four times the current number of people on Earth. During that same time period, the number of devices per capita will increase to 3.6. Think of how many devices will end up connecting to the corporate network, as a result.
Therein lies the headache. More devices means more connection attempts means more time needed to verify trust. But the work doesnt end there. Think pre-DevSecOps (or pre-DevOps, for that matter) where all organizations operated across several silos that didnt share the same workflows. This makes it difficult to enforce trust once its been verified. In an architecture without zero trust, a connection could end up on a part of the network where its not supposed to be. Or, it could end up with access rights that it shouldnt have.
The answer is to build automation into zero trust efforts. Theres a cultural and a technical element behind this decision. Culturally, we need a way to get rid of the silos discussed above. Automation can do that by uniting different domains of an organization under a single open framework. From there, IT, security and other related teams can have a shared language. This helps them share information and learn more about each others jobs. All of this is crucial for granting access and streamlining workflows that go into maintaining zero trust.
Which leads into the technical component. Zero trust isnt a monolith. Its a general approach to digital security that relies on other concepts such as network segmentation,virtual private networks and firewalls. Thecorporate network will evolve and welcomes new connections. As it does, organizations will need to take a second look at how all of these components get along on a dynamic basis.Human analysts arent suited to this. Itsbetter off in the hands of an automated system. The system will be less prone to making mistakes and more capable of seeing a complete picture of how the network is changing.
Clearly, organizations are still trying to figure out how they can leverage zero trust and other paradigms to defend against tomorrows digital threats. IBM knows this, which is why its invited experts to discuss zero trust, automation and the future of digital security at Think 2021. Join the conversation by registering for this digital event here.
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Contributing Editor
David Bisson is an infosec news junkie and security journalist. He works as Contributing Editor for Graham Cluley Security News and Associate Editor for Trip... read more
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Manufacturing a Stronger Standard: How Lesta’s Robots Are Elevating Production and Automation in Wood Finishing – MarketScale
Posted: at 11:04 pm
Wood finishing work is a craft requiring a keen eye and precise application, which has made it particularly hard to automate, but new technology is changing that. Offering insights on these new capabilities,Manufacturing a Stronger Standardbrings listeners a conversation withDeGeestand Lesta USA President Derek DeGeest and Igor Kania, Wood Finishing Specialist for Lesta SRL from Poland.
DeGeest partnered with Lesta to bring its capabilities to the U.S. market. He met Kania and said the relationship has taught him a lot, as his background is mainly in metals, not wood.
As a finishing pro, Kania was able to see the opportunities for automation and used that experience to later help the wood industry in Europe benefit from the power of robotics. He noted he recently sold robot No. 100!
Kania and DeGeest discussed the differences and similarities in the European and U.S. wood markets, including processes and finishes.
Europe has decades of history with self-learning robots and have adapted their entire processes to work with the technology. In North America, we had to consider the best transition for general industry wood finishers to begin using automation and we couldnt just drop robots into U.S. plants. We did that by traveling the country to meet with company owners, listen to their needs and concerns, evaluate their products and adapt the technology. We came up with three adaptable solutions tailored for the U.S. market using a combination of self-learning robots and autonomous scanning for cabinets, chairs, doors, and furniture DeGeest said.
LestaUSAs technology empowers companys current team by giving them the tools to accomplish more while still allowing their experience to be used to finish their parts. This creates time for them to focus on improving the quality and productivity for their company while learning new skills and creating an opportunity to extend their careers in finishing industry.
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IBM taps AI for new workflow automation and data migration tools – VentureBeat
Posted: at 11:04 pm
Join Transform 2021 this July 12-16. Register for the AI event of the year.
During its Think conference this week, IBM unveiled AI-driven products across its portfolio of enterprise platforms. Mono2Micro, a new capability in WebSphere, taps AI to streamline cloud app migration. Watson Orchestrate helps automate work in business tools from Salesforce, SAP, and Workday. And an updated IBM Cloud Pak for Data ostensibly reduces the cost and complexity of curating data for AI and machine learning workloads.
The AI industry is booming, with research commissioned by IBM finding that almost a third of businesses are using some form of AI and machine learning. By 2027, the global AI market is expected to be worth $733.7 billion, according to Grand View Research. But while recent advances in the technology are making AI more accessible, a lack of skills and increasing data complexity remain top challenges.
The new Mono2Micro service in WebSphere Hybrid Edition, IBMs app and integration middleware, optimizes apps and workloads to run in hybrid cloud environments on Red Hat OpenShift. Mono2Micro refactors apps to move them to the cloud, restructuring existing code without changing its behavior or semantics.
IDG reportsthat the average cloud budget is up from $1.62 million in 2016 to a whopping $2.2 million today. But cloud adoption continues to present challenges for enterprises of any size. Aseparate Statista survey identified security, managing cloud spend, governance, and lack of resources and expertise as significant barriers to adoption.
As IT complexity grows with increased adoption of hybrid cloud, enterprises are looking to bring in the power of AI to transform how they develop, deploy, and operate their IT, IBM wrote in a blog post. A significant challenge CIOs face is that many of their core applications were written for an on-premises world and they can have hundreds to thousands of legacy applications that need to be modernized and moved to the cloud.
Mono2Micro uses machine learning and deep learning to analyze large enterprise Java applications. The analysis produces two alternative refactoring options for an application that can be explored in graphs and reports for transparency and explainability.
The newest member of IBMs Watson family, Watson Orchestrate, is designed to give workers across sales, human resources, operations, and more the ability to perform tasks faster. By interacting with existing enterprise systems, Watson Orchestrate can complete to-do list items, like scheduling meetings and procuring approvals.
WhenMcKinsey surveyed 1,500 executives across industries and regions in 2018, 66% said addressing skills gaps related to automation and digitization was a top 10 priority. Forrester predicts 57% of business-to-business sales leaders will invest more heavily in tools with automation. That may be why Salesforce anticipates the addressable market for customer intelligence will grow to $13.4 billion by 2025, up from several billion today.
Users can interact with Watson Orchestrate using natural language the software automatically selects and sequences prepackaged skills needed to perform a task, connecting with apps, tools, data, and history on the fly. For example, a sales director could ask Watson Orchestrate to monitor business opportunities, send an email alert when a deal progresses, and set up a meeting with the sales lead to discuss next steps.
Waston Orchestrate also understands and maintains context based on organizational knowledge and prior interactions. Concretely, this means it can act on information informed by a users preferences, like a preferred business application or email contact.
Watson Orchestrate follows acquisitions to expand IBMs automation capabilities, including WDG Automation, Instana, MyInvenio, and Turbonomic, signaling the companys ambitions in the enterprise automation space. According to IBMs data, 80% of companies are already using automation software and tools or plan to in the next 12 months.
Watson Orchestrate is currently available in preview as part of IBMs Cloud Pak for Automation.
IBM introduced Cloud Pak for Data three years ago as a way to help enterprises apply AI to data across hybrid cloud environments. Beginning this week, the service is gaining new AI-powered functionality, including AutoSQL, which automates the access, integration, and management of data without having to move it.
Managing data is highly complex and can be a real challenge for organizations. A recent MIT and Databricks survey of C-suite data, IT, and senior tech executives found that just 13% of organizations are delivering on their data strategy. The report concluded that machine learnings business impact is largely limited by challenges in managing its end-to-end lifecycle.
AutoSQL uses the same query engine across sources, including data warehouses, data lakes, and streaming data. Its part of an intelligent data fabric that leverages AI to orchestrate data management tasks discovering, understanding, accessing, and protecting data across environments. The new fabric unifies disparate data into a unified view and aims to ensure data can be accessed without jeopardizing privacy, security, or compliance.
Data quality and integration become major issues when pulling from multiple cloud environments, IBM wrote in a blog post. With the new data fabric and AI capabilities, [were] delivering what we expect to be a significant differentiator for customers by completely automating the data and AI lifecycle the potential to free up time, money, and resources and connect the right data to the right people at the right time, while conserving resources.
Another part of the intelligent data fabric, AutoCatalog, taps AI to automate how data is discovered and maintain a real-time catalog of assets from across enterprises. Meanwhile, AutoPrivacy another data fabric component automates the identification, monitoring, and enforcement of policies on sensitive data across organizations.
The upgraded Cloud Pak for Data is available to customers starting today.
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Amelia Recognized as a Leader in Intelligent Virtual Agents and IT Automation by Global Analyst Firm Zinnov – PRNewswire
Posted: at 11:04 pm
The evaluation of IVAs was based on key parameters such as channels supported, deployment, intelligent capabilities, and use case coverage. Zinnov scored Amelia the highest compared to other vendors in each of these areas of assessment, commending Amelia for its "robust capabilities in intent recognition, contextual understanding, and natural language capabilities," and its "strong capabilities across horizontal and industry-specific use cases such as Amelia banking, insurance, customer care, HR services, IT services, telecommunication, [and] healthcare."
The IT Automation category was assessed on security and governance, integrations, downstream automation, and use case coverage. Once again, Zinnov scored Amelia the highest in each of these areas of assessment and recognized its "high focus on platform and data governance" and its extensive integrations with access management companies, such as CYBERARK and Microsoft Active Directory; tools and applications, including SAP, Oracle, and Salesforce; and for automation-specific integrations with Automation Anywhere, UiPath, and VMware.
Nischay Mittal, Principal and Global Head, Automation/AI at Zinnov, said: "Amelia has successfully positioned itself as a market-leading platform to serve the highly nuanced automation needs of global enterprises. Amelia's focus on empowering customers through the automation of IT Service Management and IT Operations Management and providing cutting-edge IVA capabilities, is what garnered them a leadership position in our latest Zinnov Zones for Hyper-Intelligent Automation rating. Its industry-leading Conversational AI capabilities supported by advanced contextual understanding across multiple channels, and the ability to seamlessly integrate with several leading systems and third-party applications are what anchor its position in the Leadership Zone."
Chetan Dube, CEO of Amelia, said: "The mass digitization in response to the pandemic has catalyzed the shift away from traditional models of working toward a more digital and connected workplace. Digital Employees are at the forefront of this change, working alongside their human counterparts, assisting them and augmenting their abilities as part of the hybrid workforce. The Zinnov Zones report on Hyper-Intelligent Automation reaffirms Amelia's position as the leading digital workforce provider tackling today's real-world enterprise challenges."
The full findings of the Zinnov Zones report for HIA Platforms, 2021 are available here.
Unlike chatbots and more limited virtual assistants that react to keyword-driven instructions and follow static decision trees, the cognitive brain of the Amelia platform allows users to have natural, human-like conversations to execute tasks or resolve queries. Using advanced NLP, Amelia is also able to handle complex conversations and digressions, follow context switching, and independently execute complex tasks to resolve user requests. Her state-of-the-art affective computing and sentiment analysis enable her to recognize and adapt her responses based on the mood of the user and the context of the situation. These skills are constantly improving through her automated learning capabilities.
ABOUT AMELIAAmelia is the world's largest privately held AI software company and a leader in automation and Conversational AI. We create fulfilling human experiences through groundbreaking AI solutions, as we enable conversational experiences, streamline IT operations and automate processes. In 2014, we launched Amelia, the Most Human AI. In 2018, we introduced true end-to-end, enterprise wide automation with the Amelia HyperAutomation Platform, originally named 1Desk. In 2020 we introduced the world's first online marketplace for Digital Employees (DigitalWorkforce.ai) and removed the technical barriers to implement Conversational AI by introducing a no code Digital Employee Builder. Headquartered in New York City with offices in 15 countries, Amelias roster of client success stories speaks for itself: Our technology impacts more than 500 of the world's leading brands, including global leaders in banking, insurance, telecommunications and other industries. See how Amelia is powering the future of work at http://www.amelia.ai.
ABOUT ZINNOVFounded in 2002, Zinnov is a global management consulting firm, with a presence across 4 continents. Zinnov has successfully consulted with 250+ Fortune 500 enterprises to enable them to accelerate their Digital Transformation outcomes by leveraging technologies such as Hyper Intelligent Automation (HIA), AI/ML, Cloud, IOT, etc. For more information, visit http://zinnov.com.
For media inquiries contact [emailprotected]
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LIVE Webinar The Rabbit Hole of Automation – The Hacker News
Posted: at 11:04 pm
The concept of automation has taken on a life of its own in recent years. The idea is nothing new, but the current interest in automation is a mix of both hype and innovation.
On the one hand, it's much easier today to automate everything from small processes to massive-scale tasks than it's ever been before. On the other hand, are we really prepared to hand the reins over to completely automated systems, and should we?
There are areas in security operations where automation is already a critical component. In terms of analytics and parsing through ever-expanding data flows, it's impossible for most teams to keep up without impacting other areas of their jobs. Automated systems help us make sense of threats much faster and more reliably. However, automation isn't a cure-all (just yet). A new live webinar from XDR provider Cynet dives into the topic more in depth (register here).
The webinar explores automation as it exists today in the cybersecurity industry. Led by Cynet's Chief Security Strategist, Chris Roberts, It covers how tools already use automation, as well as what automation doesn't do. It will also discuss why the human element is still vital and whether that might change in the future.
The conversation will also focus on where automated deploying systems can deliver the greatest impact. Today, the biggest application is in analysis and detection, but the defense still requires a healthy dose of human intervention and intuition. Additionally, we could automate things like remediation steps and responses to ensure threats don't become major crises. Here again, however, we still require a human eye. The question, then, isn't what we can automate today, but what could we automate tomorrow (and how)?
Additionally, it discusses what we need today to be able to automate some of our tools successfully. It's not about a hands-off system that does all the heavy lifting, the webinar argues, but understanding that automated tools are just that valuable assets that can speed up our reactions and let us make smarter decisions more efficiently and effectively.
More importantly, however, the webinar doesn't stop at where we currently are. Instead, it explores the possibilities the "rabbit hole," so to speak of where the industry can deploy automation to continue improving services and offering better security and protection for organization's environments. Roberts will discuss new threats that may emerge and how organizations might automate parts of their security stacks and response plans to improve both their detection and response capabilities.
Some of the key topics the webinar will cover include:
You can register for the webinar here.
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LIVE Webinar The Rabbit Hole of Automation - The Hacker News
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Collaboration aims to speed up drilling automation adoption – Offshore Oil and Gas Magazine
Posted: at 11:04 pm
The NOVOS process-automation platform controls all the companys rig equipment within the operational envelope.
(Courtesy NOV)
Offshore staff
LONDON Schlumberger andNOV have agreed to collaborate to accelerate automated drillingsolutions adoptionby oil and gas operators and drilling contractors.
The agreement will enable customers to combine Schlumbergers surface and downhole drilling automation solutions with NOVs rig automation platform to deliver superior well construction performance, the companies claimed. This integrated offering enables the automation of manual workflows, improving safety, decision making, consistency, and efficiency in drilling.
The combined solution leverages advanced AI from the Schlumberger DrillOps on-target well delivery solution, while NOVs NOVOS process-automation platform controls all the companys rig equipment within the operational envelope. The two technologies will work together to manage compliance to procedure and to reach best-in-class operational performance, the companies claimed.
The family of DrillOps solutions includes open and modular technologies and advanced machine learning applications to execute the digital drilling plan consistently and to automate drilling tasks, attaining higher levels of efficiency.
NOVOS is an open platform, automating repetitive drilling activities, benefiting contractors by allowing them to focus on consistent process execution and safety, and benefiting operators by optimizing drilling programs.
Schlumberger CEO Olivier Le Peuch said: Leveraging downhole and surface automation applications, we can deliver enhancements in operations safety and efficiency, and deliver top-quartile wells for our customers consistently.
This partnership will help accelerate customers adoption of drilling automation technologies, enabling superior well construction performance.
Clay Williams, chairman, president and CEO of NOV, added: Through this collaboration, NOV demonstrates its commitmenttodeliveran open digital automation platform that enables drilling contractorstoachieve higher consistency, safety, and efficiency with improved wellbore quality.
We continue to investin digital solutionsthat provide valuefor our customers.Drilling automationallows rig crews to focuson the big pictureto drive performanceandless on manual, repetitive tasks.
05/10/2021
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How Penetration Testing Jobs Will Be Affected by Automation – EC-Council Blog
Posted: at 11:04 pm
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The increasing impact of automation on our day-to-day life is noticeable everywhere. It has dramatically influenced the field of cybersecurity and changed the way ethical hacking, penetration testing, and other domains of cybersecurity function. When it comes to penetration testing, automated methodologies have improved and made the results way more accurate. A common fear is that automation will take away penetration testing jobs. But it is not true.
Automation comes with many advantages. In general terms, this innovation has changed the way a workplace functions [1]. When it comes to cybersecurity, it will surely change multiple status quos. Lets examine why you need automation penetration testing, its advantages and disadvantages, and how you can learn automation.
Need for Automation in Penetration Testing Jobs
Automation penetration testing plays a crucial role in the toolkit of a security professional. It allows penetration testers to detect vulnerabilities in your business environment by performing consistent scans that automatically detect security gaps in your most unprotected systems.
The IT industry is one of the top consumers of the automation competition. There are several products on the market that wholly or partly automate certain tasks with high accuracy. The major motivation to automate security tasks is to prevent human errors, shorter response times, and cost-effectiveness.
An example is the automated pentesting software. Automation will transform the security industry. The shortage of talents has compelled most organizations to automate their security needs, and the cost-effectiveness of these products makes them attractive.
Another reason for automation in penetration testing is the risks of a severe breach based on enhanced network connectivity and dependence on data confidentiality and accessibility. These days, the attack needs to be detected within seconds to prevent severe consequences. Automation for penetration tester will be like an assistant with foresight to detect what the human mind may ignore.
So, there is no chance that penetration testing jobs will become redundant once automation is introduced. Even though automation simplifies work, human involvement is still essential for peculiar cases that do not suit the automation structure.
Advantages of Automated Penetration Testing
So, what are the benefits of automation in penetration testing?
High-quality security checks
One of the advantages of using automated pentesting processes is guaranteeing high-quality security checks devoid of human errors. Add to this, and it will also arrange the findings to help priorities your security challenges. The penetration tester can focus on more advanced issues with the power of automation.
Fast response time
Automated penetration testing is faster than manual penetration testing, which increases the speed of detecting new security loopholes and fixing them. Now, there is no need to wait for days or weeks for a human to draft penetration testing reports. These automated tools perform regular scans and deliver reports almost instantaneously.
One of the limitations of manual scans is that the security professional need to spend long periods drafting reports. The downside is that, during this timeframe, the security environment has undergone changes several times since the last test. Due to this, some new misconfigurations and loopholes come up that werent there when the manual pen test was conducted initially.
Automated pentation testing tools conduct vulnerability scans daily, or sometimes twice a day. Thus, you can test your environment and identify possible vulnerabilities and misconfigurations quickly.
Simple, flawless, and more effective
Automated penetration testing tools make security tests simpler. The pentester gets with minor errors, and results are more effective. They focus on real security impacts and real-world attacks. The issues detected are described in a language that even non-technical readers can understand without eliminating the technical aspect needed by the IT team.
Implements different entry points
Unlike manual penetration testing jobs, where the tester is given a specific entry point to penetrate, automated penetration testing tools exploit series of entry points to run the same pen test to uncover vulnerabilities and security gaps [2]. Although a human can still run series of pentests through different entry points, further penetration tests would require a considerable budget.
Compliance Standards
Your organization can meet specific compliance standards frameworks like PCI DSS through automated vulnerability assessments [3]. These tools also make it easier for your organization to concentrate widely on the necessary penetration testing requirements.
Disadvantages of Automated Penetration Testing
Even with their stellar advantages, automated penetration testing tools arent without their disadvantages. For one, automated penetration testing tools dont recognize web application platforms. They may acknowledge something like a web server at the services/ports point. However, they cant recognize that you hold an IDOR vulnerability in your internal SSRF or API in an internal web page that the tester can apply to pivot further.
The current web stack is complicated due to this reason. Even specialist scanners, such as web application scanners, find it difficult to detect vulnerabilities that arent low-hanging fruit (e.g., SQLi or XSS).
Will Automation Take Away Penetration Testing Jobs?
All signs indicate the fact that automation will not take away penetration testing jobs. Any domain that has adapted automation has an increased employment rate with new skills replacing the old ones. It will, in fact, reduce the divide between the vacancies and empty positions. As the penetration testing market adopts automation, we will see certain changes like:
This is the best time to learn penetration testing certification. As an aspiring professional, you would find new horizons to develop your skills and find quick placement.
Learn Automated Pentesting with CPENT
The CPENT or Certified Penetration Testing Professional is a unique certification program that allows candidates to attain two certifications with just one exam. It is a flexible exam that is proctored in different parts of the world and tests your general knowledge of penetration testing. The community of the CPENT certifications targets actual job-focused competencies rather than taking an all-purpose approach to IT Security. This is why CPENT gives you a detailed advanced practice in labs.
References:
FAQs
What is automated penetration testing?
Automated penetration testing allows you to remove threats to your business by performing regular vulnerability scans that automatically detect security gaps in your most unprotected systems.
What tools are used for penetration testing?
There are different tools used for penetration testing. some of the essential penetration testing tools are:
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How Penetration Testing Jobs Will Be Affected by Automation - EC-Council Blog
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Applitools Integrates With Rally for Fast and Automated Bug Management – PR Newswire India
Posted: at 11:04 pm
Developers and QA engineers unlock full visibility into the appdev lifecycle process by efficiently logging bug details directly in Applitools via native Rally integration
SAN MATEO, Calif., May 11, 2021 /PRNewswire/ --Applitools, provider of a next generation test automation platform powered by Visual AI and Ultrafast Test Cloud, today announced a new Rally integration as part of the Eyes 10.11 release. Rally is a popular application lifecycle management platform used to track each phase of agile software development, from planning to defect tracking. This integration allows developers and QA engineers to easily log and manage all data collected about bugs, and how to fix them, in a single workflow.
Learn more about the Rally integration in this blog post: (https://info.applitools.com/udlWg).
Applitools Eyes Visual AI technology allows customers to automatically test their applications and identify visual and functional bugs. Once an issue is discovered, customers typically record it in a bug tracking tool, like Rally. Previously, customers had to switch between Eyes and Rally to manually log, manage and fix issues. With the Rally integration, all of the data Eyes collects about bugs is linked seamlessly with Rally's bug tracking system. Instead of developers and QA engineers managing bugs in Applitools and Rally separately, they have all of the information including screenshots, steps to reproduce, and environment details recorded in one place with a single click.
"It has always been a priority of Applitools to ensure we integrate seamlessly with our customers' existing tools and processes," said Moshe Milman, COO of Applitools. "Integrating with Rally was a natural next step. We understand how important it is for our customers to be able to document and track all information about their application lifecycle in one place so that they can assign appropriate handoffs and close the feedback loop efficiently."
With this integration customers that are using Rally and Applitools now have a 360 degree view into the entire application development lifecycle from UX design and development to executing automated tests, analyzing test results, and reporting and fixing defects. Any stakeholder in the appdev process from product managers to UX designers, developers and testers can automatically pinpoint the exact cause of issues using the Applitools Root Cause Analysis capabilities and be able to fix defects on the spot.
"We rely on tools like Applitools for fast and efficient test automation and visual quality, they are an integral part of our automation toolbox," said Tammie Davis, Director of Global Quality Engineering at IHG. "With the newly released Rally integration, teams will have a seamless flow for the defect triage workflow and optimizing the overall user experience."
The Rally integration is a continuation of Applitools' commitment to extending its integration ecosystem with more than 70 SDKs and integrations that fit seamlessly into customers' existing workflows and tools.
About Applitools
Applitools delivers a Next Generation Test Automation Platform through Visual AI and Ultrafast Test Cloud. We enable engineering teams to release high quality web and mobile apps at incredible speed and at a reduced cost.
Applitools Visual AI modernizes important test automation use cases -- Functional Testing, Visual Testing, Web and Mobile UI/UX Testing, Cross Browser Testing, Responsive Web Design Testing, Cross Device Testing, PDF Testing, Accessibility Testing and Compliance Testing -- to transform the way organizations deliver innovation at the speed of CI/CD at a significantly lower Total Cost of Ownership (TCO).
Hundreds of companies from verticals such as Tech, Banking, Insurance, Retail, Pharma, and Publishing -- including 50 of the Fortune 100 -- use Applitools to deliver the best possible digital experiences to millions of customers on any device and browser, and across every screen size and operating system.
Applitools is headquartered in San Mateo, California, with an R&D center in Tel Aviv, Israel. For more information, please visit applitools.com.
Contact:Jeremy DouglasCatapult PR-IR303-581-7760, ext. 16[emailprotected]
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Applitools Integrates With Rally for Fast and Automated Bug Management - PR Newswire India
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