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SaaS-Ready platform is the force multiplier for overwhelmed and understaffed IT and Security operations Ayehu today launched its next generation automation and orchestration platform for IT and Security operations. The new platform is Software-as-a-Service (SaaS)-ready for hybrid deployments and is powered by artificial intelligence (AI) and machine learning driven decision support, for fully enhanced and optimized automated workflows. Today’s IT and Security operations teams are overwhelmed by the increasing influx of alerts, incidents, and requests. This state of affairs combined with a growing shortage of skilled, talented IT and security professionals, has created the need for intelligence-backed, automated solutions.
“We’ve received overwhelmingly positive initial feedback from our partners and customers who have previewed our new platform and are excited to now make it generally available,” said Gabby Nizri, Co-founder & CEO of Ayehu. “We developed it because we wanted to make it even easier for our customers to incorporate and use automation as a game changer in their business.  The SaaS-ready, multi-tenant platform is now able to deliver efficiencies across hybrid environments. This sets the stage for CIOs around the world to start the journey to enable the Self Driving Enterprise.”
The platform includes an architecture redesign to support managed service providers (MSP) and businesses with hybrid deployments across on-premise, private and public cloud environments such as AWS and Azure. It also enriches product security in areas such as message encryption across internal and external networks and presents a brand new user interface. Key features include:
  • AI Powered – Machine learning delivers decision support via prompts to optimize workflows and dynamically creates rule-based recommendations, insights, and correlations
  • SaaS Ready – Ideal for hybrid deployments, supports multi-tenant, communication encryption, OAuth2 authentication, and internal security improvements
  • High Availability and Scalability – Ayehu easily scales to support organizations with a high volume of incidents and safe guards against a single-point-of-failure
  • Workflow Version Control – Ayehu is the first IT automation and orchestration platform to provide version control on workflows, allowing users to rollback changes and review, compare or revert workflows
  • Tagging and Labeling – Ayehu users can associate workflows with keywords through tags to quickly search and return commonly used workflows
  • User Interface Enhancements – The new angular 2.0 web-based interface, offering easy and user-friendly workflow designer and template navigation, as well as white labeling options for OEM partnerships
Ayehu acts as a force multiplier, driving efficiency through a simple and powerful IT automation and orchestration platform powered by AI. The next generation automation platform helps enterprises save time on manual and repetitive tasks, accelerate mean time to resolution (MTTR), and maintain greater control over IT infrastructure. IT and security operations teams can fully- or semi-automate the manual response of an experienced IT or security operator/analyst, including complex tasks across multiple, disparate systems. Ayehu’s response time is instant and automatic, executing pre-configured instructions without any programming required, helping to resolve virtually any alert, incident or crisis. For more information and to request a live, personalized demonstration of the next generation platform, visit

About Ayehu

Named by Gartner as a Cool Vendor, Ayehu’s Intelligent IT automation and orchestration platform is a force multiplier for IT and security operations, helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure. Trusted by major enterprises and leading technology solution and service partners, Ayehu supports thousands of automated processes across the globe. For more information, please and the company blog.  Follow Ayehu on Twitter and LinkedIn.



Post written by Gabby Nizri, Co-Founder and CEO at Ayehu Inc.

Since the industrial revolution, business leaders have been leveraging technology to augment human workers with the goal of maximizing efficiency and productivity while simultaneously cutting costs. Now, thanks to the recent tidal wave of intelligent technology advancement, we have suddenly found ourselves staring down the barrel of a workplace that looks quite different than the one we have become used to.
What do automation, machine learning and artificial intelligence (AI) mean for tomorrow’s workforce? Will AI eliminate the need for human workers altogether? The reality isn’t quite so cut and dry. In fact, the future of work will likely be a hybrid that involves both human and machine intelligence working in conjunction toward the same shared goals. Let’s explore this in a little more detail. Redefining The Way We Work The basic concept behind automation hasn’t changed all that much over the past century or so. When menial tasks can be shifted from human employees to robots, work can be completed faster and without the risk of human error. This dramatically improves efficiency levels, which means a better bottom line for an organization as a whole. And because the output of quality of work increases, service levels also receive a boost, so in theory, everybody wins. However, automation powered by artificial intelligence has taken this basic concept and brought it to an entirely new level. Now, it’s not just about programming a machine to perform simple tasks; rather, it’s about relying on technology that is intuitive enough to adapt and improve without the need for human input. Take chatbots, for example. This technology is capable of using the data gathered over time from incoming customer inquiries to continuously develop a robust catalog of answers. In other words, the more it’s used, the smarter it becomes. A New Realm Of Possibilities Automation will inevitably lead to redundancy in certain roles. It’s only logical to assume that if software robots are capable of performing the majority of a lower-skilled employee’s tasks, it’s a much more economical business decision to shift those duties to technology, subsequently making certain roles obsolete. This doesn’t necessarily mean, however, that we’re doomed to a future of humanless offices. The truth is that while automation may eliminate some jobs, it also creates new roles and opportunities for human workers to pursue. It’s also important to point out that as far as intelligent automation has come, there are still certain areas where the human touch cannot be replaced or replicated. For instance, a chatbot can be programmed to perform basic customer support, but it is not capable of managing complex situations. Likewise, intelligent automation can be highly effective in identifying ideal candidates for a job opening, but the actual hiring process is still a human-centric function.
Humans And Machines: A Match Made In Heaven Ideally, the best way to approach the adoption of artificial intelligence in the workplace is to view it from a more holistic perspective. Rather than machines and humans working independently, the two should be working in tandem toward the greater good of an organization. For example, process automation can be leveraged to handle the majority of the mundane, repetitive IT tasks while seamlessly transferring more complex issues to human workers. AI can also be highly effective in helping business leaders make smarter, more data-driven decisions. Machines handle the data mining process, identifying, extracting and organizing the most relevant information available. Executives can then use this information to more accurately project and plan for the future. This facilitates greater innovation, which means those enterprises who adopt AI will lead the charge in their respective fields.
A New Definition Of Work
As artificial intelligence continues to evolve and improve, the very definition of what we consider to be mundane or routine will also continue to change. With smarter technology, more and more tasks will be shifted to machines. In fact, according to a recent report from Gartner, smart machines and robots could take over the tasks performed by highly trained professionals in such fields as IT, medicine and law by 2022. But that doesn’t necessarily mean certain unemployment for those individuals working on the front lines. To the contrary, according to one study conducted by ServiceNow, 79% of executives surveyed say they expect an increase in the adoption of automation to lead to the creation of new jobs. Furthermore, an incredible 94% agreed that when repetitive tasks are automated, the demand for jobs that call for soft skills like communication, collaboration and creative problem-solving will grow. Ultimately, it’s the way human workers approach this technology that will determine what tomorrow will bring. For those who choose to embrace artificial intelligence and all of the opportunities it presents, the future certainly looks bright.


Anik Bose, BGV General Partner shares his perspective on global technology innovation and the implications for early stage cross-border venture investing. Silicon Valley remains the center of the technology universe with an established major technology ecosystem with companies such as Google, Intel, Cisco, Salesforce, Facebook, Oracle and Palo Alto Networks anchored in the area. While the cross-fertilization of ideas and innovation created by such an ecosystem is difficult to replicate, innovation continues to emerge from other parts of the world such as Israel, China, UK, France, Japan, India and Korea. A few key data points:
  • Israel has successfully established itself as “Startup Nation” – Ranked first in the world for innovative capacity by the IMD Global Competitiveness Yearbook 2014 and third for innovation globally out of 148 economies by the WEF Global Competitiveness Yearbook 2014–2015. The region has established an enviable track record of technology innovation in the sectors of cybersecurity, cloud and mobility.
  • China’s tech savvy consumers are propelling advances in Cloud adoption, IoT and autotech and are rapidly emerging as the only region outside Silicon Valley that has the benefits of scale and the aspirations to be a significant player on the global technology landscape. Ecosystem players like Alibaba, Tencent etc are playing a key role in fertilizing technology innovation in the region.
  • UK – London has a higher density of startups than any other city in the world with Fintech deals experiencing a five year compounded annual growth rate of 74%
  • France has the second largest VC ecosystem in Europe (US$1.2 billion in 2013) and has produced strong innovative startups in the areas of Analytics, IoT, Adtech and Drone technologies
  • India has launched several initiatives to promote the growth of the technology sector including Digital India, a $2Bn technology catalyst fund, and an ambitious plan to build 100 smart cities, which will push the innovation paradigm for technology companies.
  • Japan is setting new standards in Robotics with a focus on integration of the artificial intelligence sensors, software and big data.
  • Korea is fortifying its technology economy with promising technologies such as 5G telecommunications, realistic media and content platform devices
I believe that this emergence of global innovation hubs represents a unique opportunity to build strong technology companies – ones that practice the mantra of “Innovate locally, Scale globally.” These companies pick the best talent from the appropriate region to gain competitive advantage and then connect with the Silicon Valley ecosystem/US market to scale the business. Startups are able to find extremely talented engineers with advanced degrees able to help build early products. But in order to reach the global markets, connection to Silicon Valley is absolutely essential to these startups – for scaling growth (organically or via eco system partnerships) and brand recognition.  As LinkedIn co-founder Reid Hoffman writes in his blog – Expertise in scaling up is the visible secret of Silicon Valley (link), connecting with Silicon Valley allows cross-border startups to scale market reach in addition to scaling technology quickly and cost effectively based on the inherent advantage of their non US R&D teams.. BGV has the global company building/scaling experience as well as the experience of assembling global investment syndicates and building distributed management teams across continents and cultures – the competency required to build successful cross-border technology companies. The firm possesses this experience and DNA by design and by strategy and is a competency that is difficult to replicate. We believe that this is an increasingly relevant source of competitive advantage because of the dynamics of global innovation outlined earlier in this blog.. At BGV, we have successfully helped technology companies from China, Israel, Western and Eastern Europe and India scale up. In 2014/15, BGV has invested in Ayehu (R&D in Israel), Profitect (Developed its core analytics algorithms in Israel), Grid Dynamics (R&D in Eastern Europe), Survela (R&D in Spain), Intellivision (R&D in India and Russia) and Identity Mind Global which is growing rapidly in China. All these companies are headquartered in the US but leverage cross-border innovation.  We firmly believe that this trend of global innovation represents a unique opportunity to build new generation of enterprise technology companies. Every BGV partner is an immigrant who has participated in building global technology companies and as a consequence we tend to view early stage cross-border investing as an opportunity not as a risk.

PALO ALTO, Calif. and TEL AVIV, Israel, Aug. 11, 2015 /PRNewswire/ — Ayehu, leading developer of powerful and innovative IT Process Automation solutions, announced today that it has appointed prominent industry players Eric Benhamou and Chris Keene to its Board of Directors. This news, coupled with the addition of several new customers, demonstrates the company’s growing momentum as the demand for IT Process Automation solutions in the expanding IT and Cyber Security Automation market. Logo – Eric Benhamou currently serves as Chairman and CEO of Benhamou Global Ventures, a Silicon Valley based early-stage venture capital firm. Formerly, he was CEO and Chairman of the Board of 3Com Corporation. He also served as CEO of Palm, Inc. from October 2001 until October 2003 and Chairman until October 2007. Chris Keene is the Former President of Cloud & Automation Business Unit at BMC Software. “Ayehu is addressing a huge pain that’s increasingly capturing the attention of CIOs & CISOs of both medium and large enterprises,” said Benhamou. “With Ayehu’s strong management team, innovative technology and growing customer base, the company is well-positioned to become a strong market leader in the IT & Security Automation solutions.” “It is a great honor to welcome Eric and Chris to our Board of Directors,” comments Gabby Nizri, Co-Founder and CEO of Ayehu. “The strength and diversity of talent, experience and knowledge that both bring is invaluable to the company.” “Ayehu is filling a real gap in the automation market, making it easy to resolve security issues instantly by integrating event management, automation and help desk systems, all without a single line of programming,” said Keene. About Ayehu Ayehu provides IT Process Automation solutions for IT & Security professionals to identify and resolve critical incidents, simplify complex workflows, and maintain greater control over IT infrastructure through automation. Ayehu solutions have been deployed by major enterprises worldwide, and currently support thousands of IT processes across the globe. The company has offices in New York and Tel Aviv, Israel. For more information please visit

Anik Bose and Yashwanth Hemaraj from BGV share their perspective on the next wave of Enterprise IT Innovation. The democratization of knowledge is the acquisition and spread of knowledge amongst all workers, not just a fraction of highly educated workers. The printing press was one of the early steps in that journey. The creation of libraries during the industrial revolution was another, with the Internet raising the sharing of information and knowledge to unprecedented levels. BGV believes that the digital transformation of the enterprise will create a significant wave of innovation around empowering productivity and continuing the process of democratizing knowledge – not only through automation of knowledge workers but also by enabling less skilled workers to do more. The innovation around big data storage and analytics has pushed businesses to adopt data analysis tools to make data driven decisions that lower costs, improve productivity and deliver increased value to customers. Advances in artificial intelligence, machine learning, and natural user interfaces (e.g., voice recognition and semantics analysis) are making it possible to automate many knowledge worker tasks that were long been regarded as impractical for machines to perform. For instance, some computers can answer “unstructured” questions (i.e., those posed in ordinary language, rather than precisely written as software queries), so employees or customers without specialized training can get information on their own. Prescriptive and predictive analytics tools are being used to augment the talents of broader sets of employees as well. In addition, visualization tools are beginning to democratize big data by giving users broader flexibility to analyze data within a self-service business intelligence environment. Allowing users to explore, summarize, and visualize data in the way they see fit enables users with less advanced data skills to gain greater comfort with data and draw increasingly sophisticated insights. We believe this opens up possibilities for far-reaching changes in how work is organized and performed to drive productivity gains. Several underlying technology trends are enabling this emergence of innovation in the areas of advanced analytics and data visualization tools. These include:
  • 100X increase in computing power from IBM’s Deep Blue to Watson
  • Advances in machine learning, AI and natural language interfaces
  • Breakthroughs in new algorithms, data storage principles and new data sources
We believe that empowering “broad based” productivity will become an increasingly important component of any successful startup’s overall value proposition in the future. The economic rationale is simple and compelling – a broader user base will significantly shorten time to value for customers, drive faster adoption and therefore revenue ramp for such startups. Enterprises are facing increased pressure to make data driven decisions in order to remain competitive on one side, and a severe shortage of people with data analysis skills on the other side. This is true across multiple verticals. A research by the McKinsey Global Institute projects that by 2018, the US alone may face a 50% to 60% gap between the requisite demand and supply of deep analytics talent, i.e. people with advanced training in statistics or machine learning. In November 2014, a special Parliamentary Select Committee in the United Kingdom’s House of Lords reported a global shortage of “no less than two million cybersecurity professionals” by the year 2017. This gap is preventing companies from effectively executing their critical business strategies. The presence of such severe talent shortage and high demand also leads to high turnover and hyper wage inflation, further increasing economic pressure on enterprises. A few examples:
  • Cyberflow Analytics ( visualization and network scale behavorial anomaly detection allows IT personnel in the Security Operations Center to deliver automated incident response and remediation without needing to rely purely on highly skilled security analysts who are in short supply. This is an increasingly important value proposition for enterprises as they turn to MSSP’s to manage their security needs
  • Profitect ( offers prescriptive analytics solutions for workers in retail stores aimed at optimizing store level decisions that impact profitability without needing to incur the expenses of a dedicated data science/analyst team
  • Swiftshift ( enables retail and health care enterprises to communicate and optimize scheduling for their shift workers by leveraging a mobile automated workflow management tool thereby improving productivity, minimizing operations disruption from due to absenteeism while reducing agency costs
  • Ayehu ( enables the rapid automation of any IT process workflow, thereby freeing up time to allow IT personnel to improve customer service levels as well as implement complex solutions without having to rely purely on expensive IT resources (e.g. ServiceNow help desk implementations)
We are not advocating that blind automation is the panacea because continuous learning, manual control and governance policies will continue to be a necessary ingredient within any automation framework. In the 1990’s IT tools enabled creative managers to redesign core processes or innovate around products and services in response to changing business conditions. But by far, the narrowly defined IT producing sectors made the most direct contribution to productivity growth – accounting for 8% of GDP in 1993 yet contributing a disproportionate 36% to productivity growth between 1993 and 2000 (Source Mckinsey Global Institute Report 2002 – How IT Enables Growth). over the coming years the impact of IT on productivity will be far more broad-based, with advanced analytics and data visualization cutting across sectors (retail, healthcare, banking, manufacturing, etc…) with mobility and cloud becoming delivery foundations for such applications.