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Elastic Expands Partnership with Tines to Simplify Security and Observability Workflow Automation

Integrated offering for Tines Workflow Automation and Elastic Search AI Platform helps increase operational efficiency, minimize security risk, and reduce downtime

Elastic announced an expanded partnership with an integrated offering that includes Tines Workflow Automation and the Elastic Search AI Platform to simplify security and observability workflow automation. 

The partnership equips security teams with security orchestration, automation and response (SOAR) and AI-driven security analytics capabilities, while observability teams benefit from enhanced incident response automation.

“We're thrilled about the Elastic and Tines partnership—it's been a game-changer for our team and our ability to protect our vast network of 11 universities, eight state agencies, and our seven external customers,” said Braxton Williams, engineering manager, Texas A&M System Cyber Operations. “Elastic and Tines provided us with unprecedented visibility across our complex network of environments, accelerating detection and response times, enhancing tool productivity, and allowing us to scale security operations effortlessly.”

Today’s digital world inundates organizations with a deluge of data, alerts, and issues that require intervention. Security analysts must tackle threats fast enough to prevent harm, while SREs and DevOps engineers grapple with identifying and resolving performance problems before users are affected. Many of these teams are understaffed and overburdened, and their work requires coordinating efforts across departments and systems.

“The time it takes to turn insights into action often determines the effectiveness of security and observability teams,” said Eoin Hinchy, cofounder and CEO at Tines. “By connecting real-time analysis and AI-powered workflows, the combined offering from Elastic and Tines minimizes that time. This results in faster issue resolution, reduced costs, and less stress and workload on practitioners.”

Key benefits of the Tines Workflow Automation and Elastic Search AI Platform integrated product offering include:

  • Faster Issue Resolution: Connect disjointed systems, coordinate across teams, and harness AI to expedite investigation and response.
  • Increased Operational Efficiency: Build workflows and leverage AI features, empowering teams to work through repetitive tasks faster and more consistently.
  • Reduced Costs: Mitigate security incidents, avoid costly service disruptions, and handle growing demands with existing resources.
  • Consistent Execution: Standardize operating procedures, foster collaboration, and embed transparency, driving continuous improvement in an organization’s processes.

“Security analysts, SREs, and DevOps engineers are being inundated with a constant flood of alerts that require intervention,” said Santosh Krishnan, general manager of Security and Observability at Elastic. “Our partnership with Tines is a force multiplier, helping cut through the noise and break down data silos, supporting practitioners through automation and real-time insights that function seamlessly together.”

Tines Workflow Automation for Elastic Search AI Platform is available to all Elastic customers.

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Elastic Expands Partnership with Tines to Simplify Security and Observability Workflow Automation

Integrated offering for Tines Workflow Automation and Elastic Search AI Platform helps increase operational efficiency, minimize security risk, and reduce downtime

Elastic announced an expanded partnership with an integrated offering that includes Tines Workflow Automation and the Elastic Search AI Platform to simplify security and observability workflow automation. 

The partnership equips security teams with security orchestration, automation and response (SOAR) and AI-driven security analytics capabilities, while observability teams benefit from enhanced incident response automation.

“We're thrilled about the Elastic and Tines partnership—it's been a game-changer for our team and our ability to protect our vast network of 11 universities, eight state agencies, and our seven external customers,” said Braxton Williams, engineering manager, Texas A&M System Cyber Operations. “Elastic and Tines provided us with unprecedented visibility across our complex network of environments, accelerating detection and response times, enhancing tool productivity, and allowing us to scale security operations effortlessly.”

Today’s digital world inundates organizations with a deluge of data, alerts, and issues that require intervention. Security analysts must tackle threats fast enough to prevent harm, while SREs and DevOps engineers grapple with identifying and resolving performance problems before users are affected. Many of these teams are understaffed and overburdened, and their work requires coordinating efforts across departments and systems.

“The time it takes to turn insights into action often determines the effectiveness of security and observability teams,” said Eoin Hinchy, cofounder and CEO at Tines. “By connecting real-time analysis and AI-powered workflows, the combined offering from Elastic and Tines minimizes that time. This results in faster issue resolution, reduced costs, and less stress and workload on practitioners.”

Key benefits of the Tines Workflow Automation and Elastic Search AI Platform integrated product offering include:

  • Faster Issue Resolution: Connect disjointed systems, coordinate across teams, and harness AI to expedite investigation and response.
  • Increased Operational Efficiency: Build workflows and leverage AI features, empowering teams to work through repetitive tasks faster and more consistently.
  • Reduced Costs: Mitigate security incidents, avoid costly service disruptions, and handle growing demands with existing resources.
  • Consistent Execution: Standardize operating procedures, foster collaboration, and embed transparency, driving continuous improvement in an organization’s processes.

“Security analysts, SREs, and DevOps engineers are being inundated with a constant flood of alerts that require intervention,” said Santosh Krishnan, general manager of Security and Observability at Elastic. “Our partnership with Tines is a force multiplier, helping cut through the noise and break down data silos, supporting practitioners through automation and real-time insights that function seamlessly together.”

Tines Workflow Automation for Elastic Search AI Platform is available to all Elastic customers.

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Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...