Organizations rush to adopt AI across business functions — yet most deploy without assessing
whether their cybersecurity controls can protect AI-specific attack surfaces, secure sensitive
training data, or prevent model theft and manipulation. The consequences are severe: breaches
through AI systems carry average costs of $4.45M, with healthcare and financial services exceeding $10M.
Leadership approves AI initiatives without understanding whether existing security controls adequately protect AI systems, creating blind spots adversaries actively exploit.
AI systems process vast amounts of PII, intellectual property, financial data, and healthcare records. Breaches through AI carry average costs of $4.45M.
Model theft enables competitors to replicate years of R&D investment. Prompt injection attacks manipulate AI into bypassing controls or leaking information.
EU AI Act, GDPR, CCPA, HIPAA, SEC rules, and NIS2 Directive create AI security obligations most organizations haven’t addressed.
Third-party AI vendors, open-source models, and AI API providers introduce supply chain attack vectors traditional security frameworks don’t assess.
$4.45M average breach cost through AI systems — with healthcare and financial services breaches exceeding $10M. Most organizations deploy AI without assessing whether their security can handle AI-specific threats.
We deliver a complete transformation of your SOC by integrating AI agents that perform
analyst duties across the entire lifecycle.
Adversaries steal proprietary AI models through API exploitation. Malicious actors poison training datasets. Real-world breaches involving AI systems increase quarterly.
The EU AI Act became enforceable with substantial penalties. Industry regulators (OCC, FDA, FTC) issued AI-specific security guidance. Non-compliance triggers enforcement actions and fines.
Organizations conducting readiness assessments now can incorporate proper controls before regulatory examinations or incidents force expensive retrofitting. Those waiting face 10–100x higher remediation costs.
Organizations demonstrating robust AI security gain customer trust, pass reviews faster, and avoid breach-related disruptions.
higher remediation costs for those who wait until after breaches or enforcement actions force expensive retrofitting, reputational damage, and regulatory penalties.
Gruve’s AI cybersecurity readiness assessment provides comprehensive evaluation of your
organization’s preparedness to securely deploy, operate, and govern AI systems enterprise-
wide. Our cybersecurity experts combine 17+ years of security operations experience
with cutting-edge AI security specialization to assess AI inventory, data protection controls,
model security practices, infrastructure hardening, supply chain risks, compliance frameworks,
and governance mechanisms.
Comprehensive discovery of deployed AI systems including generative AI integrations, custom models, AI-embedded applications, and shadow AI usage. Risk classification based on data sensitivity, decision authority, and regulatory applicability.
Assessment of sensitive data handling in AI systems, training data security, inference data protection, data retention and disposal, privacy controls for PII/PHI/PCI, and data sovereignty compliance.
Evaluation of model protection mechanisms, adversarial robustness, prompt injection defenses, model theft prevention, poisoning attack resistance, and output validation controls.
Review of AI hosting environment security, API authentication and authorization, network segmentation, secrets management, access controls, and cloud configuration security.
Assessment of third-party AI vendor security, open-source model risks, AI API provider security, dependency management, and supply chain attack vectors.
Evaluation of AI governance frameworks, decision accountability, audit trails, model explainability, regulatory compliance (EU AI Act, GDPR, sector-specific), and risk management integration.
Two engagement options, from focused risk identification to exhaustive enterprise-wide
readiness evaluation.
3-day engagement
Critical systems inventoryHigh-risk vulnerability assessmentSample data protection assessmentCompliance gap highlights90-day action plan10-day engagement
Complete discovery including shadow AIComprehensive testing all systemsComplete PII/PHI/PCI discoveryDetailed regulatory mapping12–18 month phased strategy
Identify active vulnerabilities with risk quantification translating technical findings to business impact, breach probability, potential financial losses, and regulatory penalties.
Detailed compliance gap analysis and remediation roadmap for EU AI Act, GDPR, CCPA, HIPAA, and sector-specific requirements with audit-ready documentation.
Avoid $4.5M+ average breach costs through proactive vulnerability identification and remediation before adversaries exploit weaknesses.
Enable confident AI deployment with validated security controls rather than delaying initiatives due to security concerns.
Demonstrate AI security leadership to customers, partners, and regulators, passing security reviews faster and building trust.
Our cybersecurity experts combine deep security operations experience with cutting-edge AI security specialization. We assess readiness across technical controls, operational processes, governance, and compliance.
Unlike vendor assessments biased toward specific products, Gruve delivers technology-agnostic evaluation covering all AI platforms, deployment models, and use cases.
Readiness assessment evaluates preparedness to securely adopt AI, covering controls, governance, and compliance before deployment. This complements posture assessment, which tests live systems post-deployment. Many organizations need both.
An AI cybersecurity readiness assessment evaluates your organization’s preparedness to securely deploy, operate, and govern AI systems enterprise-wide. It examines whether your existing cybersecurity controls, governance frameworks, and compliance capabilities can adequately protect AI-specific attack surfaces, before deployment, not after a breach.
Readiness assessment evaluates preparedness to securely adopt AI, covering controls, governance, and compliance frameworks before or during deployment. Posture assessment examines the security of AI systems already in production, identifying exploitable vulnerabilities in live systems. Many organizations need both: readiness first for new deployments, posture for existing systems.
We are technology-agnostic and platform-independent. We assess readiness for AI built on any framework (TensorFlow, PyTorch, OpenAI, Anthropic, custom models), deployed on any cloud (AWS, Azure, GCP, on-premise), and covering any use case.
EU AI Act, GDPR, CCPA, HIPAA, SEC cybersecurity disclosure rules, NIS2 Directive, and sector-specific requirements. We deliver audit-ready documentation and detailed compliance gap analysis.
Yes. Supply chain risk is a dedicated assessment dimension covering third-party AI vendor security, open-source model risks, AI API provider security, dependency management, and supply chain attack vectors.
Foundation: 3–5 days, $35,000–$60,000, covering critical systems with 90-day action plan. Comprehensive: 10 days, $90,000–$175,000, complete discovery including shadow AI with 12–18 month phased strategy.
Don’t wait for a breach or regulatory enforcement to discover AI security gaps.
Request a readiness assessment to get a clear roadmap to secure AI
deployment.
Response within 24 hours · NDA available on request
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