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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
Download solutions brief

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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