Plainview, NY, USA
1994
  |  By meshIQ
What IBM MQ costs an organisation is a knowable figure. It comes off a renewal statement, an entitlement count or a licensing review, and finance can put a number against it down to the core. What replacing it would save is not knowable in the same way. There is no independent case study in the public record carrying real durations, team sizes and application counts, and every migration timeline in circulation comes from an organisation selling the migration.
  |  By meshIQ
The Apache ActiveMQ Jolokia endpoint has been the route to remote code execution in three separate years. In 2023, it was reflection into the JVM. In 2024, a default configuration left it without a login. In 2026, it was the broker's own management operations, patched in March, exploited in April, and reopened three more times by summer.
  |  By Gourab Basu
Major US banks have found AI agents operating inside customer accounts, signed in with credentials customers handed over themselves. Nothing was breached. The agents authenticated correctly, and some of them still did things nobody asked for. That gap between having access and having authority is the agentic AI security problem every enterprise running agents now owns.
  |  By meshIQ
Deciding to buy open source support for Apache ActiveMQ is the easy part. Working out which vendor can actually keep a broker alive at three in the morning is considerably harder, because nearly every vendor in this market is vague in exactly the same places.
  |  By meshIQ
This Apache ActiveMQ CVE guide is the maintained reference for every significant Apache ActiveMQ vulnerability: what it does, how it is scored, which versions it affects, which release fixes it, and whether it is being exploited.
  |  By meshIQ
When a CVSS 10.0 vulnerability is published, the expectation is that affected software gets patched within days. When it involves an open-source broker that processes business-critical transactions in enterprise environments, the expectation is that the security teams responsible for those brokers treat it as an emergency. “The attacks exploit a maximum-severity security flaw in Apache.
  |  By meshIQ
An AI agent doesn’t just answer questions—it takes actions in real systems. As teams across the enterprise build their own agents, governance can’t be an afterthought. Learn how agents work, why they create new risks, and what controls are needed before they act, not after.
  |  By Buddhiraj Chapalgaonkar
McKinsey's 2026 tech report calls agentic AI the 'connective tissue of the enterprise.' But agents that act at machine speed need governance at machine speed too. Static controls won't work for dynamic agents—active, in-flow guardrails must run before the action, not after.
  |  By Harshita Kulshrestha
When every employee is building AI agents, seeing what they did afterward isn't enough. AgentIQ's in-flow governance runs inside the agent's execution flow—pausing for human approval, enforcing policies by value, masking PII, and stopping runaway agents before costs spiral.
  |  By Harshita Kulshrestha
When every employee is building AI agents, seeing what they did afterward isn't enough. AgentPatrol's in-flow governance runs inside the agent's execution flow—pausing for human approval, enforcing policies by value, masking PII, and stopping runaway agents before costs spiral.
  |  By meshIQ
Application and integration DevOps professionals rely heavily on messaging, event processing, and streaming to build mission-critical applications. meshIQ delivers a single pane of glass that provides visibility into complex M/E/S/H environments, significantly reducing the risks to application stability and performance.
  |  By meshIQ
Welcome to meshIQ
  |  By meshIQ
Nastel XRay 1.5 release builds on industry analyst acclaim for leading AIOps & transaction observability vendor. Nastel Technologies, the leader in integration infrastructure management (i2M) solutions, announced today significant enhancements to its versatile AIOps and Transaction Observability solution, including machine learning for integration management, and visualization of business flows and IoT locations.
  |  By meshIQ
Introduction video for Nastel Technologies' solution for managing and monitoring your digitized transaction flow based on middlewares such as IBM MQ, Kafka, Solace or TIBCO. Nastel can help you through all processes of workflow digitization.
  |  By meshIQ
Frustrated with how long it takes to roll out new applications (and updates) when changes are required to messaging middleware environments? Is your team getting blamed for issues outside your control? During this short webinar and open Q&A, we will discuss.
  |  By meshIQ
This 45 minute video covers the fundamentals of MQ statistics, including architecture, setup and usage and several related use cases.
  |  By meshIQ
Nastel MSK is an option for using Apache Kafka. This introduction explains the basics of Amazon MSK and the show how in just a matter of minutes, you can be using Nastel to manage, monitor and track your Kafka usage.
  |  By meshIQ
This demo covers Custom attributes and how they can be used to display, filter and monitor data managed by Nastel.
  |  By meshIQ
IBM DataPower Gateway is the latest variant of DataPower and helps organizations meet the security and integration needs of a digital business in a single multi-channel gateway. It provides security, control, integration and optimized access to a full range of mobile, web, application programming interface (API), serviceoriented architecture (SOA), B2B and cloud workloads.
  |  By meshIQ
This a complex question with deep implications that touch many areas of the business including the executive team, finance, procurement and Human Resources. In this short webinar we will discuss some of the areas that must be considered and provide you with some strategic ideas to improve your business. This presentation is gleaned from the hundreds of man-years of experience our experts have had in answering this exact question.

Observability Platform for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH).

Application and integration DevOps professionals rely heavily on messaging, event processing, and streaming to build mission-critical applications. meshIQ delivers a single pane of glass that provides visibility into complex M/E/S/H environments, significantly reducing the risks to application stability and performance. This speeds up mean-time-to-resolution (MTTR) and improves mean-time-between-failures (MTBF), ultimately improving application SLAs and customer experience. From modern Kafka-based streaming to legacy messaging technologies like IBM MQ, meshIQ supports every major platform out there.

A must have for every Messaging Deployment:

  • Governance: meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages.
  • Introspection: Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis.
  • Intelligence: Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict.
  • Action: Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.

Intelligence From Integration.