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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.

The Latest

A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...