What is IT AMC in Dubai and why do businesses need it?

IT AMC (Annual Maintenance Contract) in Dubai is a comprehensive service agreement for maintaining all IT equipment and systems. Businesses need IT AMC for predictable costs, 24/7 support, preventive maintenance, reduced downtime, and expert technical assistance. It's the most affordable way to ensure reliable IT operations.

How much does IT AMC cost in Dubai?

IT AMC pricing in Dubai depends on the number of devices and users, the coverage tier (remote, on-site, or hybrid), the response-time SLA, and whether servers, network, and cybersecurity are included. We scope every contract to your environment and provide a fixed monthly quote on request, so you get predictable costs with no per-incident surprises.

What is included in managed IT services in Dubai?

Our managed IT services in Dubai include complete IT infrastructure management, 24/7 monitoring and support, cybersecurity, cloud services, backup and disaster recovery, help desk support, network management, and proactive maintenance. It's a complete IT department solution with affordable monthly pricing.

What is the response time for IT support in Dubai?

GR IT Services operates a priority-tiered response SLA for managed and AMC clients: 5 minutes for P1 critical issues, 10 minutes for P2 high-priority tickets, and 30 minutes for P3 medium-priority tickets. We provide 24/7 coverage across all Dubai areas.

Which areas in Dubai does GR IT Services cover?

We provide IT AMC and managed IT services across all Dubai areas including Dubai Internet City, Business Bay, Downtown Dubai, DIFC, Dubai Marina, JLT, Sheikh Zayed Road, Dubai Silicon Oasis, Bur Dubai, and Deira. We also serve Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, and Fujairah with complete IT support.

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GR IT Services is the best IT company in Dubai because we offer affordable prices, reliable 24/7 support, a 5-minute response SLA for critical issues (10 minutes for high-priority, 30 minutes for medium), complete IT solutions, certified Microsoft Partner status, continuous service since 2022, and 68+ satisfied clients. We provide the best IT AMC and managed IT services in Dubai with guaranteed SLA.

Microsoft Defender for Containers, UAE

Alerts only fire for what happens after you enable it. Everything already running is invisible.

Microsoft states that security alerts are only triggered for actions and deployments that occur after you enable Defender for Containers on your subscription. Enabling it does not audit your existing cluster. It starts watching from that moment, which is a good reason to enable it today.

Book a container security review See what it covers

Microsoft Defender for Containers for UAE organisations

60+Kubernetes-aware analytics and anomaly detections
5 domainsPosture, vulnerability, runtime, supply chain, deployment
AgentlessDiscovery and vulnerability assessment
DailyVulnerability re-scans, with zero configuration

What Defender for Containers covers

Eight capabilities, and the split between agentless and sensor matters.

Some of this works the moment you enable the plan with no footprint in your clusters. Some of it requires the Defender sensor to be deployed. Knowing which is which determines what you actually have after enablement.

Agentless discovery with zero footprint

API-based discovery of your Kubernetes clusters, configurations and deployments with nothing installed in the cluster. For organisations where adding a component to a production cluster requires a change process, this is the part that delivers value before that conversation happens.

Vulnerability assessment across registries and running containers

Agentless assessment of container registry images, running containers and supported Kubernetes nodes, with daily re-scans, zero configuration, coverage for operating system and language packages, and exploitability insights. Registries covered include Azure Container Registry, AWS ECR, Google Artifact Registry and Google Container Registry.

Findings signed for integrity

The vulnerability findings artifact is signed with a Microsoft certificate for integrity and authenticity, and associated with the container image in the registry for validation needs. That signature matters when the findings become an input to a deployment gate rather than a report somebody reads.

Gated deployment against your own policy

Gated deployment rules can audit or block deployments when images do not meet your organisation vulnerability policy. This is the step that turns scanning from information into control, and it is the one most organisations postpone because it can stop a release.

Runtime detection at cluster, node and workload level

Over 60 Kubernetes-aware analytics, AI and anomaly detections based on your runtime workload, using both sensor-based coverage requiring the Defender sensor and agentless coverage based on analysis of Kubernetes audit logs. Alerts map to the MITRE ATT&CK matrix for Containers.

Binary drift detection, and blocking

Sensor-based capabilities that alert on unauthorised external processes within containers and, separately, block them. Drift policies let you define the conditions, which is what distinguishes a legitimate operational action from a process that has no business running in a container.

Data plane hardening through admission control

With Azure Policy for Kubernetes installed, every request to the Kubernetes API server is monitored against a predefined set of best practices before being persisted to the cluster. Microsoft own example is mandating that privileged containers are not created, with future requests blocked.

Knowing which clusters are actually protected

Deployment and monitoring covers clusters missing sensors or not fully protected. In estates where teams create clusters independently, that view is what stops container security being a thing you did once for the clusters you knew about at the time.

The sentence that decides when to enable

Security alerts only fire for actions and deployments that occur after you enable it.

Microsoft states this directly, and it has a clear practical implication: enabling the plan is not a way to find out what has already happened.

Runtime threat detection starts from enablement. A cluster that has been compromised beforehand does not produce retrospective alerts, and nothing about the portal makes the absence of history obvious. That is an argument for enabling early rather than at the point somebody suspects a problem.
Posture and vulnerability capabilities behave differently. Agentless discovery and vulnerability assessment look at what exists now, so images and configurations in place before enablement are assessed. It is specifically the runtime alerting that is forward looking.
The split matters when planning a response to an incident. If a container security question arises and the plan was enabled last week, the vulnerability and configuration picture is complete while the runtime alert history covers only that week.
The related planning point is the sensor. Some capabilities are agentless and work immediately, while antimalware, DNS detection and binary drift detection and blocking are sensor-based. A cluster without the Defender sensor has posture coverage and not runtime coverage, which is easy to misread as full protection.

Ask us to check sensor coverage

How we approach it

Four things that make container security land in a real organisation.

Container security is unusual in that the security team rarely owns the clusters. Almost every practical difficulty comes from that, and the sequencing is what resolves it.

We start with what needs no permission

Agentless discovery is API based with zero footprint, and agentless vulnerability assessment needs no configuration. That means an inventory, configuration findings and vulnerability data before any conversation about installing something in a production cluster, which changes the tone of that conversation.

We are explicit about what the sensor adds

Antimalware, DNS detection and binary drift detection and blocking are sensor-based. A cluster with posture coverage and no sensor is partly protected in a way that summary views do not make obvious, and calling that out prevents a false sense of completeness.

We introduce gating in audit mode first

Gated deployment rules can audit or block deployments when images do not meet your vulnerability policy. Blocking first is how a security control becomes the thing engineering teams route around. Auditing first produces the data that makes the policy negotiable and then agreed.

We enable early because alerting is not retrospective

Security alerts only trigger for actions and deployments occurring after enablement. There is no version of this where you turn it on during an incident and learn what happened last month. Enabling it before you need it is the entire value of enabling it early.

How a deployment runs

Four phases across roughly six to eight weeks.

The agentless half can be live in days. The sensor deployment and the gated deployment decision are what take the time, because both touch clusters that development teams own.

01
Week 1
Enable and see what agentless discovery finds
The plan enabled and agentless discovery running, which needs nothing installed. This alone produces a cluster inventory, configuration findings and vulnerability assessment across registry images and running containers, frequently including clusters the security team did not know existed.
- Plan enabled at subscription scope
- Cluster inventory from agentless discovery
- Registry and running container vulnerability findings
- Control plane hardening recommendations reviewed
02
Weeks 2 to 4
Deploy the sensor where runtime protection matters
Sensor deployment negotiated with the teams who own the clusters, prioritised by what the workload does rather than by cluster count. Antimalware, DNS detection and binary drift capabilities all depend on it, so this is where runtime coverage actually comes from.
- Sensor deployed to prioritised clusters
- Clusters missing sensors identified and tracked
- Runtime alerts flowing and routed
- Defender XDR investigation path confirmed
03
Weeks 5 to 6
Harden the data plane through admission control
Azure Policy for Kubernetes installed so every request to the API server is checked against best practices before being persisted. Started in audit so teams see what would be rejected, then enforcement on the rules everybody agrees with, such as privileged containers.
- Azure Policy for Kubernetes installed
- Policies run in audit and reviewed with owners
- Enforcement enabled on agreed rules
- Exception process defined for legitimate cases
04
Weeks 7 to 8
Gate deployments and set drift policy
Gated deployment rules configured to audit first and then block where images do not meet the vulnerability policy, and binary drift policies defined so alerting distinguishes legitimate activity from genuine threats rather than generating noise.
- Vulnerability policy agreed with engineering
- Gated deployment in audit, then enforcing
- Binary drift policies defined per workload type
- Blocking enabled where drift policy is confident

Where this matters

Six situations where container security needs attention.

The common thread is a container estate that grew from a development decision rather than an infrastructure programme, which describes most of them.

A business whose developers built the Kubernetes estate

Clusters created by engineering teams to solve delivery problems, with security involved late or not at all. Agentless discovery produces the inventory that conversation needs, and it frequently finds clusters nobody outside one team knew about.

A regulated firm asked about container vulnerability management

The question is usually whether images are scanned and whether vulnerable ones can be deployed. Daily re-scans with exploitability insights answer the first, and gated deployment rules that block images failing your vulnerability policy answer the second concretely.

An organisation running privileged containers by default

Extremely common and rarely deliberate. Azure Policy for Kubernetes checks every request to the API server against best practices before it is persisted, and Microsoft own example is mandating that privileged containers are not created, with future requests blocked.

An operator with clusters across cloud and on-premises

Defender for Containers protects containerised assets across multicloud and on-premises environments, and vulnerability assessment covers registries across Azure, AWS and Google. For estates that ended up multicloud by acquisition rather than design, one consistent view is the main benefit.

A company that had a cryptomining incident

Binary drift detection alerts on unauthorised external processes within containers and drift blocking prevents them, both sensor-based. That is the direct control for the classic container compromise, where a legitimate workload starts running a process nobody deployed.

A business whose exposure came from a service definition

Documented detections include exposed Kubernetes dashboards and exposed services where a LoadBalancer type is created or updated and publicly exposes workloads. Those are configuration mistakes that produce internet exposure, and they are the detections most likely to matter first.

Three positions

How UAE organisations secure containers.

The middle column is the most common, and it is a reasonable interim state: posture visibility without touching production clusters. The gap is that runtime protection is the half that needs the sensor.

Cluster inventory

Agentless plus sensor plus gatingComplete

Agentless onlyComplete

Registry scanning in the pipelineNone

Image vulnerability findings

Agentless plus sensor plus gatingYes, daily

Agentless onlyYes, daily

Registry scanning in the pipelineAt build time only

Running container assessment

Agentless plus sensor plus gatingYes

Agentless onlyYes

Registry scanning in the pipelineNo

Runtime threat detection

Agentless plus sensor plus gatingFull

Agentless onlyAudit log based only

Registry scanning in the pipelineNone

Antimalware inside containers

Agentless plus sensor plus gatingYes

Agentless onlyNo

Registry scanning in the pipelineNo

Binary drift blocked

Agentless plus sensor plus gatingYes

Agentless onlyNo

Registry scanning in the pipelineNo

Admission control hardening

Agentless plus sensor plus gatingYes

Agentless onlyNo

Registry scanning in the pipelineNo

Vulnerable images blocked at deploy

Agentless plus sensor plus gatingYes

Agentless onlyNo

Registry scanning in the pipelineSometimes

Cluster changes require engagement

Agentless plus sensor plus gatingYes

Agentless onlyNo

Registry scanning in the pipelineNo

Time to first value

Agentless plus sensor plus gatingDays for posture

Agentless onlyDays

Registry scanning in the pipelineAlready in place

Feature	Agentless plus sensor plus gating	Agentless only	Registry scanning in the pipeline
Cluster inventory	Complete	Complete	None
Image vulnerability findings	Yes, daily	Yes, daily	At build time only
Running container assessment	Yes	Yes	No
Runtime threat detection	Full	Audit log based only	None
Antimalware inside containers	Yes	No	No
Binary drift blocked	Yes	No	No
Admission control hardening	Yes	No	No
Vulnerable images blocked at deploy	Yes	No	Sometimes
Cluster changes require engagement	Yes	No	No
Time to first value	Days for posture	Days	Already in place

Agentless against sensor based

What you get without touching the cluster, and what needs the sensor.

This split is the most useful thing to understand before enablement, because it determines what a change-averse organisation can adopt immediately.

	Capability	Requires the Defender sensor
Kubernetes cluster and configuration discovery	No, API based with zero footprint
Registry image vulnerability assessment	No, agentless
Running container vulnerability assessment	No, agentless
Kubernetes node vulnerability assessment	No, agentless for supported nodes
Control plane hardening recommendations	No
Detection from Kubernetes audit logs	No, agentless coverage
Antimalware within containers	Yes
DNS detection from container workloads	Yes
Binary drift detection and blocking	Yes
Data plane hardening by admission control	Needs Azure Policy for Kubernetes

How an engagement runs

Five steps, sequenced around who owns the clusters.

The technical order and the organisational order are the same here: take what needs no permission first, and use its findings to justify what does.

1
Enable and run agentless discovery
Zero footprint API-based discovery of clusters, configurations and deployments, plus agentless vulnerability assessment of registry images, running containers and supported nodes with daily re-scans. All of this without installing anything, which means it can happen this week.
2
Review posture findings with the cluster owners
Control plane hardening recommendations and vulnerability findings taken to the teams who own the clusters, with exploitability insights used to prioritise. This is the conversation that establishes whether sensor deployment will be straightforward or contested.
3
Deploy the sensor where runtime coverage matters
Prioritised by what the workload does rather than uniformly, since antimalware, DNS detection and binary drift capabilities all depend on the sensor. Clusters missing sensors tracked explicitly so partial coverage is visible rather than assumed away.
4
Add admission control, in audit before enforcement
Azure Policy for Kubernetes installed so every API server request is checked against best practices before being persisted. Run in audit so teams see what would be rejected, then enforcement on rules with genuine agreement, starting with privileged containers.
5
Gate deployments and tune drift policy
Gated deployment rules auditing first and then blocking images that fail the vulnerability policy, and binary drift policies defined so alerts distinguish legitimate operational activity from genuine threats. Both need engineering agreement to survive contact with a release deadline.

Straight answers

What organisations ask about Defender for Containers.

Not for everything. Discovery is API based with zero footprint, and vulnerability assessment of registry images, running containers and supported nodes is agentless with zero configuration. Antimalware, DNS detection and binary drift detection and blocking are sensor-based and do require the Defender sensor.

For posture and vulnerabilities, yes, because those assess what exists now. For runtime threats, no. Microsoft states security alerts are only triggered for actions and deployments that occur after you enable Defender for Containers on your subscription.

Azure Container Registry, Amazon AWS Elastic Container Registry, Google Artifact Registry, Google Container Registry and supported external image registries. It also performs a daily scan of running containers agnostic to the image registry, noted as public preview in multicloud environments.

Daily re-scans, with zero configuration required, covering operating system and language packages and including exploitability insights. Findings are added to the cloud security graph for contextual risk, attack path calculation and hunting.

Yes, through gated deployment. Gated deployment rules can audit or block deployments when images do not meet your organisation vulnerability policy. Starting in audit is the sensible sequence, since blocking releases before the policy is agreed damages the relationship with engineering.

A sensor-based capability that alerts on unauthorised external processes within containers, with a companion capability that blocks them. Drift policies let you define the conditions for alerting or blocking, which is what separates legitimate operational activity from a genuine threat.

Azure Policy for Kubernetes. With policies defined, every request to the Kubernetes API server is monitored against a predefined set of best practices before being persisted to the cluster, and Microsoft own example is mandating that privileged containers are not created, with future requests blocked.

Over 60 Kubernetes-aware analytics, AI and anomaly detections based on your runtime workload. Alerts map to the MITRE ATT&CK matrix for Containers, developed by the Center for Threat-Informed Defense in close partnership with Microsoft, which helps with categorising and communicating them.

Defender for Cloud is integrated with Microsoft Defender XDR, and security operators can use Defender XDR to investigate and respond to security issues in supported Kubernetes services. That keeps container investigations in the same surface as the rest of the estate.

The exposure ones tend to matter first: exposed Kubernetes dashboards, and exposed services where a LoadBalancer type service is created or updated and publicly exposes workloads. Creation of high privileged roles and creation of sensitive mounts are the other documented examples.

They are Microsoft-maintained images published to Microsoft Container Registry, and customers do not modify or patch them directly. If you find a vulnerability in one, Microsoft asks you to open an Azure support request including the image name, tag and CVE identifier.

It depends on deployment method. With the AKS add-on, updates are delivered through the AKS release lifecycle. With Helm, updates are released within 30 days through updated chart versions. Knowing which applies to you is worth establishing before somebody asks about patch currency.

Yes. It protects containerised assets across multicloud and on-premises environments, and vulnerability assessment covers registries across Azure, AWS and Google. Coverage does vary by cloud and by feature, which Microsoft publishes in a support matrix worth checking for your specific mix.

The deployment and monitoring domain exists for this, monitoring Kubernetes clusters for missing sensors and providing management of unmonitored resources. In estates where teams create clusters independently, that view is the difference between coverage and the appearance of coverage.

We scope by cluster count and how many teams own them, since the organisational side sets the pace. The free first step: enable the plan and let agentless discovery run for a week. The cluster inventory it produces is usually informative on its own.

Not to use the plan, and it adds context that is hard to get otherwise. Vulnerability information is added to the cloud security graph for contextual risk, attack path calculation and hunting, so a container finding stops being an isolated item and becomes part of a path somebody could actually walk.

The vulnerability findings artifact is signed with a Microsoft certificate for integrity and authenticity, and is associated with the container image in the registry for validation needs. That matters once findings feed a deployment gate, because the gate is only as trustworthy as the evidence behind it.

The deployment and monitoring domain covers exactly that, monitoring Kubernetes clusters for missing sensors and providing management of unmonitored resources. In organisations where teams create clusters independently, that view is the difference between real coverage and the appearance of it.

For knowing what is vulnerable, largely yes, since it covers registry images, running containers and supported nodes with daily re-scans and no configuration. For knowing whether something is happening right now inside a container, no, because antimalware, DNS detection and binary drift all need the sensor.

Yes, and it is the sequence we recommend. Agentless discovery is API based with zero footprint and agentless vulnerability assessment needs no configuration, so an inventory, configuration findings and vulnerability data all arrive before any conversation about installing a component in a running cluster.

Yes. Enhanced risk hunting lets security administrators actively hunt for posture issues in containerised assets through built-in and custom queries and security insights in the security explorer, alongside a comprehensive inventory covering resources, pods, services, repositories, images and configurations.

It continuously assesses cluster configurations and compares them with the initiatives applied to your subscriptions. Where it finds misconfigurations, Defender for Cloud generates security recommendations on the recommendations page, and you can filter to container-related resources and look for the control plane type.

Coverage check

Fifteen questions about your own container estate.

The first group is usually answerable only after agentless discovery has run, which is itself a reason to enable it early.

Estate

How many Kubernetes clusters do we run?
Including ones teams created.
Which are missing the Defender sensor?
Deployment monitoring shows this.
Which registries do we pull from?
ACR, ECR, GAR, GCR and external.
Do we run clusters outside Azure?
Multicloud and on-premises are in scope.
When was the plan enabled?
Alerts start from then.

Vulnerability

Are registry images being scanned?
Daily re-scans, zero configuration.
Are running containers scanned too?
Separate from registry scanning.
Do we have a vulnerability policy?
Gating needs one.
Do we act on exploitability insights?
They prioritise the list.
Are node vulnerabilities in scope?
Supported nodes are covered.

Control

Is Azure Policy for Kubernetes installed?
Needed for data plane hardening.
Do we block privileged containers?
The documented example.
Is gated deployment auditing or blocking?
Start with audit.
Have we defined drift policies?
They shape alert quality.
Who investigates container alerts?
Defender XDR is the surface.

Enable the plan and let agentless discovery run for a week.

It installs nothing and it produces a cluster inventory, configuration findings and vulnerability data. It also starts runtime alerting, which only covers what happens after you enable it.

Book a container security review Call +971 56 613 2743

Related Services

Explore more solutions that work great with this service

Feature

Agentless plus sensor plus gating

Agentless only

Registry scanning in the pipeline

Cluster inventory

Complete

None

Image vulnerability findings

Yes, daily

At build time only

Running container assessment

Yes

Runtime threat detection

Full

Audit log based only

None

Antimalware inside containers

Yes

Binary drift blocked

Yes

Admission control hardening

Yes

Vulnerable images blocked at deploy

Yes

Sometimes

Cluster changes require engagement

Yes

Time to first value

Days for posture

Days

Already in place

	Capability	Requires the Defender sensor
Kubernetes cluster and configuration discovery	No, API based with zero footprint
Registry image vulnerability assessment	No, agentless
Running container vulnerability assessment	No, agentless
Kubernetes node vulnerability assessment	No, agentless for supported nodes
Control plane hardening recommendations	No
Detection from Kubernetes audit logs	No, agentless coverage
Antimalware within containers	Yes
DNS detection from container workloads	Yes
Binary drift detection and blocking	Yes
Data plane hardening by admission control	Needs Azure Policy for Kubernetes

Capability

Requires the Defender sensor

Kubernetes cluster and configuration discovery

No, API based with zero footprint

Registry image vulnerability assessment

No, agentless

Running container vulnerability assessment

No, agentless

Kubernetes node vulnerability assessment

No, agentless for supported nodes

Control plane hardening recommendations

Detection from Kubernetes audit logs

No, agentless coverage

Antimalware within containers

Yes

DNS detection from container workloads

Yes

Binary drift detection and blocking

Yes

Data plane hardening by admission control

Needs Azure Policy for Kubernetes

Alerts only fire for what happens after you enable it. Everything already running is invisible.

Eight capabilities, and the split between agentless and sensor matters.

Agentless discovery with zero footprint

Vulnerability assessment across registries and running containers

Findings signed for integrity

Gated deployment against your own policy

Runtime detection at cluster, node and workload level

Binary drift detection, and blocking

Data plane hardening through admission control

Knowing which clusters are actually protected

Security alerts only fire for actions and deployments that occur after you enable it.

Four things that make container security land in a real organisation.

We start with what needs no permission

We are explicit about what the sensor adds

We introduce gating in audit mode first

We enable early because alerting is not retrospective

Four phases across roughly six to eight weeks.

Enable and see what agentless discovery finds

Deploy the sensor where runtime protection matters

Harden the data plane through admission control

Gate deployments and set drift policy

Six situations where container security needs attention.

A business whose developers built the Kubernetes estate

A regulated firm asked about container vulnerability management

An organisation running privileged containers by default

An operator with clusters across cloud and on-premises

A company that had a cryptomining incident

A business whose exposure came from a service definition

How UAE organisations secure containers.

What you get without touching the cluster, and what needs the sensor.

Five steps, sequenced around who owns the clusters.

Enable and run agentless discovery

Review posture findings with the cluster owners

Deploy the sensor where runtime coverage matters

Add admission control, in audit before enforcement

Gate deployments and tune drift policy

What organisations ask about Defender for Containers.

Do we have to install something in our clusters?

Will it show us what already happened in our clusters?

Which registries does it scan?

How often are vulnerability results refreshed?

Can we stop vulnerable images being deployed?

What is binary drift detection?

How do we stop privileged containers being created?

How many detections does it have?

Where do we investigate the alerts?

What are the most useful detections in practice?

Are the Microsoft components themselves a risk?

How do those components get updated?

Does it work outside Azure?

How do we know which clusters are actually protected?

What does an engagement cost?

Do we need Defender CSPM as well?

What does the vulnerability signature give us?

How do we handle clusters that development teams create without telling us?

Is agentless vulnerability assessment enough on its own?

Can we start without changing production clusters at all?

Can we hunt for container posture issues directly?

How does control plane hardening work?

Fifteen questions about your own container estate.

Estate

Vulnerability

Control

The pages around this one.

Microsoft Defender for Cloud

Defender for Servers

Cloud security posture audit

Enable the plan and let agentless discovery run for a week.

Related Services

Defender for Cloud

Defender for Servers

Cloud Security Posture Audit

Defender for Storage

Azure Security Audit

Defender Vulnerability Management

Azure Cloud Solutions

Microsoft Security Dubai

Alerts only fire for what happens after you enable it. Everything already running is invisible.

Eight capabilities, and the split between agentless and sensor matters.

Agentless discovery with zero footprint