GISEC Global 2026, September 16 to 18, Dubai Exhibition Centre
Book a slot
GISEC Global 2026, Dubai

30 minutes with the people who run security operations for a living

Bring one problem your current setup has not solved. We will tell you whether Gruve can fix it, what it takes, and what it costs to run.

Find the Gruve pod on the [Partner] stand, [X-XX], Hall [X] Dubai Exhibition Centre, Expo City. September 16 to 18, 10 a.m. to 5 p.m.
  • 24/7 managed security operations center
  • SIEM migration and SOC build
  • Delivery teams in India, UAE, and Singapore

    Pick a slot

    Meetings run 30 minutes at the pod. We hold a limited number each day.

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    You will get a calendar invite and a reminder the day before.

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    • Calendar invite arrives shortly, with the stand number and hall.
    • A short note from us the day before, so you can tell us what to prepare.
    • Running late on the day? Reply to the invite and we will hold the slot.

    How the 30 minutes runs

    No deck and no pitch. A working conversation with the team that runs security operations for enterprises across the region.

    First 10 minutes

    Your environment

    What you run today, where the friction is, and what your team spends its time on.

    Next 15 minutes

    How we would approach it

    How Gruve would think about the problem and what changes early versus later.

    Last 5 minutes

    What happens next

    Where this goes if it is worth pursuing further, and who owns that.

    What people book us for

    Pick the one closest to your problem when you book. We will put the right person in the chair.

    Managed SOC

    24x7 AI powered security operations, with human in the loop to speed up triage and containment.

    Co-managed SOC

    You keep your team and tools. We add night, weekend, and surge coverage on top.

    SIEM migration

    We move you to a new SIEM platform without losing detection coverage or blowing the ingest budget.

    AI agent and MCP security

    We control what your AI agents can access and audit what they actually did.

    Shadow AI governance

    We find the AI tools your teams are already using outside IT, then help you decide what to allow.

    Incident response readiness

    We test whether your response plan holds up against a real intrusion before it has to.

    Who you will be sitting with

    A small Gruve team is on the pod across the three days. Replace these cards with the actual attendees once staffing is confirmed.

    [Name]

    [Title], Gruve

    [One line on what they work on and why a CISO would want their time]

    [Name]

    [Title], Gruve

    [One line on what they work on and why a CISO would want their time]

    [Name]

    [Title], Gruve

    [One line on what they work on and why a CISO would want their time]

    Finding the Gruve pod

    • [Partner] stand [X-XX], Hall [X]Head to the stand and look for the Gruve screen.
    • Dubai Exhibition Centre, Expo CityThe venue has moved this year. It is not at World Trade Centre.
    • September 16 to 18, 10 a.m. to 5 p.m.The last meeting slot each day is 4:15 p.m.
    • Need a visitor pass?Free passes are on the GISEC website. We can also send you one.
    Stand location map
    [Drop the GISEC floorplan crop here with the pod highlighted]

    Not going to be in Dubai?

    We will run the same 30 minutes on a call the week after the show.

    Request a call instead
    Book a slot with Gruve
    Cisco AI services - Gruve AI

    Just Launched Gruve PulseAI Platform, your private AI infrastructure, production-ready in under 2 weeks.PulseAI is live — private AI, ready in 2 weeks.

    See PulseAI
    Why Now

    Yesterday's security stack
    wasn't built for what AI
    can do 

    73%

    of AI systems assessed showed exposure to prompt injection vulnerabilities (Cisco State of AI Security, 2026) 

    46%

    of organizations have experienced internal data leaks through GenAI tools, and most lack basic controls to prevent it (Cisco AI Security Research, 2025) 

    $4.63M

    average cost of a breach involving shadow AI, more expensive than a standard enterprise breach (IBM Cost of a Data Breach, 2025)

    Outcome in numbers

    AI outcomes you can measure 

    Typical roi

    60-70%

    reduction in mean time to detect, compared to internal teams (AI SOC) 

    40-60%

    lower cost than building and staffing an internal AI SOC 

    up to 50%

    faster infrastructure deployment versus custom-built solutions 

    Time to value

    2–4 weeks

    AI Defense begins protecting applications, with immediate vulnerability discovery 

    8-12 weeks

    A single AI POD is deployed and delivering value 

    12–20 weeks

    Multi-POD or full Secure AI Factory implementation 

    Core services

    Four ways we deliver Cisco AI services 

    From protecting AI you've already deployed to building the infrastructure to run it,
    pick the entry point that matches where you are today. 

    Comprehensive protection for your AI ecosystem through Cisco AI Defense, continuous model assessment, real-time runtime protection, and full visibility across your AI attack surface.

    For organizations:

    • Deploying generative AI applications
    • Using third-party AI services (Bedrock, Azure OpenAI)
    • In regulated industries with strict compliance needs
    Engagement Model Subscription-based, with fixed-price implementation options

    Problems It Solves

    • AI visibility gaps across multi-cloud environments
    • Prompt injection, jailbreaking, and adversarial attacks
    • Data leakage of PII, PHI, PCI data, and proprietary code
    • Shadow AI — unsanctioned models and applications

    How It Works

    1. 1 DiscoverInventory AI assets, map the attack surface, and assess current controls
    2. 2 DesignArchitect security controls, guardrail policies, and SIEM integration
    3. 3 DeployImplement Cisco AI Defense, automated red teaming, and runtime guardrails
    4. 4 OptimizeContinuously monitor, tune guardrails, and report on compliance

    Deliverables

    • Comprehensive AI asset inventory
    • Cisco AI Defense platform, fully configured
    • Automated red teaming across 200+ attack techniques
    • Real-time violations dashboard
    • Compliance reports aligned to NIST, MITRE ATLAS, OWASP

    Outcomes

    • Real-time detection of AI-specific attacks
    • 200+ risks found in minutes, not weeks
    • Demonstrable regulatory alignment
    • AI teams innovate with security built in

    Enterprise-grade, pre-validated infrastructure built on Cisco AI PODs and the Secure AI Factory architecture, developed with NVIDIA for training, fine-tuning, and inference at scale.

    For organizations:

    • Building custom AI models requiring GPU compute
    • Deploying LLMs, computer vision, or deep learning
    • Modernizing data centers for AI workloads
    Engagement model Fixed-price implementation, modular pricing by scale unit

    Problems it solves

    • Months of custom architecture design and integration
    • Performance bottlenecks in GPU utilization and latency
    • Scalability limits as workloads grow
    • Fragmented management across compute, network, storage

    How it works

    1. 1 DiscoverCharacterize AI workloads and capacity requirements
    2. 2 DesignSelect AI POD configuration, GPU platform, and network fabric
    3. 3 DeployImplement compute, networking, storage, and unified management
    4. 4 OptimizeMonitor performance, plan capacity, and manage the lifecycle

    Deliverables

    • Pre-validated, factory-tested AI POD
    • 400G/800G Cisco Nexus fabric with sub-millisecond latency
    • NVIDIA H100/H200 GPUs on Cisco UCS servers
    • Unified management via Intersight and Nexus Dashboard
    • Performance benchmarking and validation reports

    Outcomes

    • Deployment time cut by up to 50%
    • Scales from 32 to 128+ GPUs per cluster
    • Security embedded at every layer
    • Model training begins in weeks, not months

    24/7/365 monitoring, threat detection, and incident response, combining traditional SOC capabilities with AI-specific threat intelligence and 300+ certified analysts.

    For organizations

    • Lacking in-house ISE expertise
    • Deploying AI applications needing specialized detection
    • In highly regulated industries
    Engagement model Subscription-based, tiered service levels, 12–36 month terms

    Problems it solves

    • Traditional SOCs miss AI-targeted attacks
    • Alert fatigue from overwhelming volumes
    • Gaps in 24/7 monitoring coverage
    • Skills gap in AI-specific security expertise

    How it works

    1. 1 DiscoverAssess infrastructure, tools, and AI workloads
    2. 2 DesignArchitect SIEM, detection use cases, and response playbooks
    3. 3 DeployOnboard log sources, tune alerts, transition to 24/7 monitoring
    4. 4 OptimizeContinuous threat hunting, reporting, and use-case tuning

    Deliverables

    • 24/7 SOC operations, 300+ certified professionals
    • AI-enhanced threat detection
    • SOAR-orchestrated automated response
    • Monthly reporting and quarterly business reviews
    • Compliance monitoring and audit support

    Outcomes

    • MTTD cut by 60–70% vs. internal teams
    • 40–60% less costly than an internal SOC
    • Alert noise reduced by 80%+
    • Proactive threat hunting, not just response

    A single, end-to-end proof-of-value engagement combining proactive threat intelligence, automated detection, and regulatory alignment for regulated enterprises.

    For organizations

    • Finance and financial services
    • Healthcare
    • Critical infrastructure
    Engagement model Outcome-based pricing, frictionless proof-of-value engagement

    Problems it solves

    • Increasing regulatory pressure and audit risk
    • Sophisticated, AI-powered attack techniques
    • Fragmented visibility across cloud/hybrid environments

    How it works

    1. 1 ScopeDefine regulatory context and current exposure
    2. 2 Deploy POVRapid, frictionless deployment of AI Defense controls
    3. 3 MeasureTrack breach detection speed and audit findings
    4. 4 ScaleTransition from POV into a full outcome-based engagement

    Deliverables

    • Executive risk dashboards
    • Proof of Impact report
    • Compliance-aligned response configuration
    • Autonomous threat detection setup

    Outcomes

    • 70%+ faster breach detection and response
    • Fewer audit findings and compliance gaps
    • Executive-ready regulatory benchmarks
    • Risk-free, practitioner-delivered engagement

    Trusted by Security Leaders

    "Enterprises need secure AI infrastructure that is simple to deploy,
    trusted, and easy to manage from day one. Our work with Gruve brings
    assurance directly into the PulseAI Platform, so enterprises can move
    fast without compromising on governance or control."

    https://gruve.ai/wp-content/uploads/2026/05/Frame-236-1.png

    Cassie Roach

    Global VP of Cloud and AI Infrastructure Partner Sales at Cisco
    See Cisco x Gruve architecture
    WHY GRUVE

    Why Gruve for Cisco AI services

    Holistic AI infrastructure and security expertise, proven at Fortune 500 scale.

    Holistic AI expertise

    End-to-end across infrastructure, security, and operations, not disconnected silos of technology.

    Proven at scale

    Deployed for Fortune 500 organizations across healthcare, financial services, and technology.

    Strategic partnerships

    Cisco Gold/Premier Partner and deep NVIDIA partnership, with CCIE and NVIDIA-certified specialists.

    Complete lifecycle services

    From assessment through managed services, with knowledge transfer built into every stage.

    Enterprise-grade SLAs

    24/7/365 support, sub-4-hour critical response, and a 99.99% infrastructure uptime guarantee.

    50%

    UK-based utilities group

    Challenge: rising regulatory and audit pressure.

    Result: reduced operational risk exposure, passing FCA audits with zero findings.

    $2.3M

    Asia-Pacific financial institution

    Challenge: targeted phishing and ransomware.

    Result: in potential losses prevented.

    FAQs

    Frequently asked questions about
    Cisco AI services

    How do we get started with AI infrastructure or security services?

    Schedule a complimentary discovery consultation where we’ll discuss your AI initiatives, current infrastructure, security concerns, and business objectives. We’ll provide preliminary recommendations and a proposal outlining how we can help, with no obligation.

    How long does a typical AI infrastructure deployment take?

    A single AI POD implementation typically requires 8–12 weeks from design kickoff to production readiness. Larger multi-POD deployments or comprehensive Secure AI Factory implementations range from 12–20 weeks. AI security implementations such as Cisco AI Defense typically require 4–8 weeks.

    What's the difference between AI Infrastructure and AI Security services?

    AI Infrastructure services deploy the high-performance compute, networking, and storage foundation for training and running AI models. AI Security services protect those models, workloads, and applications from threats like prompt injection, data leakage, and adversarial attacks. Most organizations need both, and we design integrated solutions addressing each holistically.

    How do you ensure security for AI workloads specifically?

    AI workloads face threats traditional security tools miss. Cisco AI Defense protects against prompt injection, data leakage, and model vulnerabilities; Cisco Hypershield provides runtime workload protection; and our AI SOC includes specialized detection for AI-specific attacks. We follow NIST AI-RMF, MITRE ATLAS, and OWASP Top 10 for LLM frameworks throughout.

    What if we already have internal IT and security teams?

    We’re designed to augment your internal teams, not replace them. Our approach includes comprehensive knowledge transfer, training, and documentation so your staff can confidently operate what we build. Many clients engage us for specialized expertise during design and implementation while retaining day-to-day operations internally.

    Get Started

    Secure AI innovation
    atenterprise scale

    Expert AI infrastructure and security services,
    from first assessment to full production, and everything after.

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