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MDR For Splunk

Multi-Signal MDR Coverage for the Microsoft Ecosystem

Microsoft security solutions offer a unique opportunity for today’s business – a familiar suite of tools and services that are advanced, cost-effective, integrated into the Microsoft ecosystem, and work with existing security investments.
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Services
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Detection and Response

Why AI Risk Assessment?

AI is transforming business and exposing new risk surfaces. Most security teams aren’t equipped to manage the unique threats AI systems introduce.
Lack of visibility into AI/ML models and data pipelines
Growing compliance pressure around AI usage and governance
Inability to continuously assess AI system vulnerabilities
Difficulty aligning AI risk with existing cybersecurity frameworks
Limited expertise in AI-specific threat mitigation
30%
“By 2026, 30% of enterprises will include AI system risk in their cybersecurity strategy.”

Gartnet

Our AI Risk Assessment Approach 

Kudelski Security’s AI Risk Assessment empowers enterprises to discover, classify, and secure AI assets in real-time. From proprietary ML models to third-party generative AI tools, our experts can help you gain visibility, ensure compliance and highlight threats, tailored to your AI ecosystem.

Unlike legacy security tools, AI Risk Management integrates seamlessly into your existing SOC workflows and governance structures. Using advanced behavioral analytics and model-specific scanning, it flags potential threats early, whether it's model drift, prompt injection, or data poisoning.
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AI Risk Assessment
Outcomes

Accelerated compliance with AI governance regulations
Minimized business risk from AI-related exploits
Centralized oversight across all AI systems and assets

Kudelski Security’s
AI Risk Assessment Model

AI Asset Discovery & Classification

Automatically detect and inventory all AI/ML models, APIs, and datasets across your environment, including shadow AI.

Model Behavior Analysis

Analyze AI system performance to identify anomalous behavior, unauthorized changes, and potential security breaches.

AI Threat Intelligence

Leverage curated AI-specific threat feeds and machine learning to detect prompt injection, adversarial inputs, and malicious model interactions.

Policy Enforcement & Governance

Apply security controls, usage policies, and audit trails aligned with NIST AI RMF and EU AI Act requirements.

Compliance Reporting

Generate real-time reports for internal stakeholders, regulators, and auditors, ensuring full transparency and traceability.

Security Stack Considerations

Integrate the outcomes with SIEM, SOAR, IAM, and cloud platforms for unified AI risk reduction across your enterprise.
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A AI Risk Assessment case study

Healthcare Provider

A multinational healthcare provider used an AI Risk Assessment to investigate its AI diagnostic tools. Within 90 days, the organization:
45
Discovered over 45 previously undocumented AI assets
60%
Reduced AI compliance audit time by 60%
ML
Prevented a model poisoning attempt targeting a clinical ML pipeline

Our AI Risk Assessment
service delivery model

Simple. Strategic. Secure.

Built to align with
OWASP, NIST, and MITRE ATT&CK frameworks.
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1

Inventory AI Systems

Manually identify all AI/ML models, tools, and data pipelines in use across business units, including third-party and shadow AI.
2

Map Use Cases & Dependencies

Document each system’s purpose, data inputs, model architecture, and integration points to understand potential impact and exposure.
3

Assess Risks by Category

Evaluate models against risk domains such as bias, robustness, data security, and compliance. Use frameworks like NIST AI RMF or ISO 42001.
4

Rate & Prioritize Risks

Assign qualitative or quantitative risk scores to each AI asset based on likelihood, impact, and existing controls.
5

Document Findings & Recommendations:

Compile assessment results into a standardized format for internal review, compliance reporting, and remediation planning.

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AI Security Starts Here.
Get full visibility and control over your AI systems to ensure compliance and prevent breaches.

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