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Ayehu Launches Next-Gen IT Automation and Orchestration Platform

Ayehu 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.

“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.

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Ayehu Launches Next-Gen IT Automation and Orchestration Platform

Ayehu 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.

“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.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...