The Problem

Are your production AI systems
actually secure?

Your organization has already embraced AI — chatbots, ML models, generative AI tools, AI-powered
applications. But most organizations discover their AI vulnerabilities only after breaches, data leaks,
or compliance violations expose them. AI cybersecurity posture assessment addresses a
fundamentally different challenge than readiness assessment — examining the security of AI
systems already in production. 

01

Prompt injection attacks

Adversaries extract sensitive data, bypass controls, and manipulate AI decisions through carefully crafted prompt injection techniques. 

02

Model theft and extraction

Proprietary models representing hundreds of millions in R&D investment can be stolen through API exploitation and inference attacks. 

03

Training data leakage

Sensitive PII, PHI, PCI data, and intellectual property embedded in training data can be exfiltrated from production AI systems. 

04

Adversarial attacks

Attackers manipulate AI decisions through adversarial inputs that evade detection, altering outputs while appearing legitimate. 

05

Compliance gaps

EU AI Act, GDPR, HIPAA, PCI DSS extend to AI systems. Non-compliant production AI creates immediate regulatory risk. 

06

Shadow AI exposure

Unauthorized AI tools deployed across teams create unmonitored attack surfaces that traditional security assessments miss.

15-20 critical vulnerabilities discovered on average in production AI systems during security assessments. Most go undetected by traditional penetration testing firms without AI expertise.

Why Now

Why AI security assessment can’t wait 

We deliver a complete transformation of your SOC by integrating AI agents that perform
analyst duties across the entire lifecycle. 

Regulatory shift: guidance to enforcement

The EU AI Act establishes direct security requirements for high-risk AI systems. Regulators now actively examine AI security during audits.

AI attack techniques have matured

What were academic demonstrations 12–18 months ago are now readily available exploitation tools. Adversaries weaponize prompt injection, model extraction, and adversarial attacks at scale. 

Competitive advantage through verified security

Customers demand evidence of AI security before sharing data. Partners require validation before integration. Investors scrutinize AI posture during due diligence.

10–50x

higher costs when vulnerabilities are addressed post-breach compared to proactive assessment. Assessment at $30K–$175K prevents losses orders of magnitude larger.

What We assess

What our AI cybersecurity
assessment covers

Gruve’s AI cybersecurity posture assessment provides rapid, expert evaluation of production AI
system security through hands-on vulnerability testing, threat simulation, and comprehensive
security analysis. Our cybersecurity specialists conduct adversarial testing combining
automated scanning with expert manual assessment to uncover AI-specific vulnerabilities that
traditional security assessments miss. 

AI system discovery

Comprehensive identification of all deployed AI systems including customer-facing chatbots, internal AI tools, AI-powered applications, custom models, and shadow AI usage, with risk prioritization. 

  • Inventory
  • Shadow AI
  • Risk ranking

AI application security testing 

Hands-on testing for prompt injection vulnerabilities, jailbreak techniques, input validation bypasses, output manipulation, business logic exploitation, and authentication/authorization flaws. 

  • Prompt injection
  • Jailbreak
  • AuthZ/AuthN

AI model security analysis 

Assessment of model extraction vulnerabilities, adversarial attack resilience, training data access controls, model theft prevention, backdoor detection, and inference attack resistance. 

  • Model extraction
  • Adversarial
  • Backdoor

AI infrastructure evaluation 

Cloud configuration review, network segmentation testing, secrets management assessment, API security analysis, access control validation, and encryption verification.

  • Cloud config
  • API security
  • Encryption

Data protection testing 

Sensitive data discovery (PII/PHI/PCI/IP), access control validation, data leakage testing, privacy control verification, retention compliance, and data sovereignty evaluation.

  • PII/PHI/PCI
  • Leakage
  • Privacy

Compliance validation 

EU AI Act compliance assessment, NIST AI RMF alignment, industry regulation verification (HIPAA, PCI DSS, SOC 2), audit trail evaluation, and regulatory risk quantification. 

  • EU AI Act
  • NIST AI RMF
  • SOC 2
Service tiers

Choose your assessment scope

Two engagement options designed for different needs, from rapid risk identification to
exhaustive security validation.

Foundation

Posture assessment

3-day engagement

$30,000 – $50,000

  • check3–5 highest-risk systems
  • checkCore vulnerabilities
  • checkConfiguration review
  • checkSpot-check
  • checkGap highlights
  • check30-day actions
Measurable results

Security outcomes
you can measure

Immediate vulnerability
discovery

Identify exploitable vulnerabilities in production AI systems before adversaries exploit them, with risk-prioritized findings enabling focused remediation. 

Prevention of AI
breaches 

Stop data breaches averaging $4.5M+ cost, prevent model theft and IP loss, block sensitive data exfiltration, and protect against operational disruption. 

Regulatory compliance
assurance 

Verify EU AI Act compliance with auditor-ready evidence, validate NIST AI RMF alignment, confirm industry requirements (HIPAA, PCI DSS, SOC 2). 

Competitive
advantage

Demonstrate AI security to customers, pass partner security reviews, satisfy investor due diligence, and differentiate through verified security posture. 

Actionable remediation
guidance 

Specific technical remediation steps for each vulnerability, implementation guidance preserving AI functionality, effort estimates, and risk-based prioritization. 

$4.5 average breach cost — and AI-specific incidents where model theft can represent hundreds of millions in R&D investment loss. Proactive assessment is a fraction of the cost.

Why Gruve

Why choose Gruve 
for cybersecurity assessment 

AI-native security expertise 

Our cybersecurity specialists combine deep AI/ML knowledge with offensive security expertise. We understand both the AI stack and the attack techniques, unlike generic pen-test firms that miss AI-specific vectors. 

Technology-agnostic approach 

Platform-independent security testing across all AI frameworks, cloud providers, and deployment architectures. We assess your actual environment, not a synthetic test setup. 

Production-safe testing 

Non-disruptive assessment methodology designed for live production systems. We identify exploitable vulnerabilities without impacting availability, performance, or data integrity. 

FAQs

Frequently asked questions about
AI cybersecurity assessment

1. What is an AI cybersecurity posture assessment? 

An AI cybersecurity posture assessment is a comprehensive security evaluation of AI systems already deployed in production. Unlike readiness assessments that evaluate preparedness for future AI adoption, posture assessments examine the security of live AI systems, identifying exploitable vulnerabilities, exposed data, misconfigurations, and compliance violations that exist right now. 

2. How is this different from a standard penetration test? 

Standard penetration testing firms typically lack AI-specific security expertise and miss critical AI attack vectors like prompt injection, model extraction, adversarial attacks, and training data leakage. Our assessment combines automated scanning with expert manual testing specifically designed for AI systems. 

3. Will the assessment disrupt our production AI systems? 

No. Our assessment methodology is specifically designed for live production systems. We conduct non-disruptive testing that identifies exploitable vulnerabilities without impacting the availability, performance, or data integrity of your AI applications. 

4. Which AI platforms and frameworks do you test?

We are technology-agnostic and platform-independent. We assess AI systems built on any framework (TensorFlow, PyTorch, OpenAI, Anthropic, custom models), deployed on any cloud (AWS, Azure, GCP, on-premise), and serving any use case. 

5. What compliance frameworks does the assessment cover? 

Our compliance validation covers EU AI Act requirements, NIST AI Risk Management Framework alignment, and industry-specific regulations including HIPAA, PCI DSS, SOC 2, and GDPR as they apply to AI systems. 

6. How long does the assessment take and what does it cost? 

Foundation posture assessment: 3 days, $30,000–$50,000, covering 3–5 highest-risk AI systems. Comprehensive posture assessment: 10 days, $85,000–$175,000, covering all deployed AI systems with extensive testing and a 12-month remediation plan.