KPMG-AI-01 Scout score 9.5/10
Principal AI Security Architect Location to be confirmed
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates extensive experience and expertise in AI security, governance, and risk management, which aligns strongly with the job's must-have skills. They have deep knowledge and practical leadership in AI platform security and guardrail configuration, including specific experience with Microsoft Copilot and other AI platforms. The resume shows strong proficiency in Model Context Protocol (MCP) security and AI agent security, with detailed descriptions of agentic AI security controls and architectures. Identity & Access Management (IAM) expertise is well-covered, including agent and non-human identities, RBAC, ABAC, and least-privilege design. The candidate also shows strong capabilities in AI logging, monitoring, auditability, and observability techniques, with integration into SIEM/SOAR and continuous evaluation frameworks. Their experience in AI security architecture and developing secure AI solutions at scale is evident through multiple leadership roles and projects. Client-facing leadership, solution design, and delivery management are well-demonstrated through executive advisory roles and leading cross-functional teams. There are no absolute must-have skills missing. Overall, the candidate is a very strong fit for the Principal AI Security Architect role, with comprehensive coverage of all critical must-have skills and preferred experience areas.
Microsoft Copilot MCP security IAM / Zero Trust NIST AI RMF ISO 42001
View full evaluation → KPMG-AI-02 Scout score 9.5/10
Principal AI Security Architect Location to be confirmed
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates strong experience and expertise in nearly all the must-have skills listed for the Principal AI Security Architect role. They have extensive experience in AI security, governance, and risk management, including prompt injection defense, RBAC, audit logging, and AI guardrails, which aligns well with the job's AI security and governance requirements. They show proficiency in AI platform security and guardrail configuration, specifically mentioning Microsoft Copilot Studio and Azure OpenAI. The resume explicitly references Model Context Protocol (MCP) security and AI agent security through work with MCP servers and tools, as well as agentic AI systems and multi-agent cognitive architectures. IAM expertise is evident with RBAC, Azure Key Vault, IAM, KMS, and secrets management, including configurations for agent and non-human identities. They also demonstrate strong knowledge of AI logging, monitoring, auditability, and observability using OpenTelemetry, Prometheus, Grafana, and audit trails. Their experience in AI security architecture and developing secure AI solutions at scale is well documented through end-to-end AI platform delivery, secure SDLC practices, and enterprise-grade deployments. They also have client-facing experience in solution design, leadership, and delivery management. Overall, the candidate's background aligns very well with the job requirements, showing senior-level technical and leadership capabilities in AI security and governance.
Copilot Studio Azure OpenAI MCP servers Multi-agent AI OpenTelemetry
View full evaluation → KPMG-AI-03 Scout score 9.0/10
Principal AI Security Architect Pennsylvania, USA
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates extensive experience in AI security, governance, and risk management, as evidenced by work on AI/ML security architecture, secure AI lifecycle governance, AI red teaming, and threat modeling for AI/ML workloads. They have proficiency in AI platform security and guardrail configuration, including Microsoft Defender for Cloud, Cortex XDR, Wiz, and Microsoft 365 Content AI, which aligns with securing generative AI platforms like Microsoft Copilot. The resume shows knowledge of Model Context Protocol (MCP) security and AI agent security through AI-agent security controls, AI red teaming, and adversarial testing. The candidate has strong IAM expertise, including agent and non-human identities, Microsoft Entra ID, Okta, SailPoint, and enterprise IAM governance. They also demonstrate strong AI logging, monitoring, auditability, and observability experience with Splunk, Cortex XSIAM, and Google Chronicle. The candidate has designed AI security architectures and secure AI solutions at scale, including secure cloud tenant isolation for AI red teaming and enterprise LLM implementations. Client-facing leadership, solution design, and delivery management are supported by C-suite collaboration, cross-functional leadership, and large-project delivery. Overall, the candidate is a strong fit for the Principal AI Security Architect role.
MCP security Microsoft Entra ID Okta SailPoint SIEM
View full evaluation → KPMG-AI-04 Scout score 9.0/10
Principal AI Security Architect Toronto, Ontario, Canada
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates extensive experience in AI security, governance, and risk management, with specific mention of AI security architecture, guardrails, and agentic AI security projects. They have worked with Microsoft Copilot, Model Context Protocol (MCP), and AI agent security, fulfilling key must-have skills. Their IAM expertise, including non-human identities, RBAC, and least-privilege design, is well documented through work with CyberArk, SailPoint, Oracle IAM, and Microsoft Entra ID. The candidate also shows strong capabilities in AI logging, monitoring, auditability, and observability, with experience integrating SIEM, SOAR, and AI-driven automation tools. Client-facing leadership, solution design, and delivery management are evident from roles leading architecture and advisory engagements, delivering executive briefings, and managing complex projects. While the candidate has broad security and DevSecOps experience, some preferred skills such as CrowdStrike AI DR and specific AI security testing techniques are only briefly mentioned or implied. Overall, the candidate aligns very well with the job requirements and must-have skills, with no absolute must-have skills missing.
Microsoft Copilot MCP security Agent identity AI observability Client delivery
View full evaluation → KPMG-AI-05 Scout score 9.0/10
Principal AI Security Architect Bakersfield, California, USA
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates strong experience and skills in AI security, governance, and risk management, as evidenced by work on AI security architecture, guardrails, prompt injection defense, and AI risk taxonomies. They have explicit experience with AI platform security and guardrail configuration, including Microsoft Copilot and Azure AI Studio. The candidate shows knowledge and practical application of Model Context Protocol (MCP) security and AI agent security through multiple projects involving MCP architecture and agentic AI systems. Their IAM expertise is well documented, including RBAC, least-privilege design, and agent and non-human identity management, supported by extensive enterprise IAM operations experience. They also demonstrate strong implementation of AI logging, monitoring, auditability, and observability, including structured logging and audit trails. The candidate has designed and developed secure AI solutions at scale, with multiple AI-driven platforms and workflows described. Client-facing leadership and solution delivery experience is implied through consulting roles and collaboration with product stakeholders. Overall, the candidate aligns very well with the must-have skills and shows a senior level of experience relevant to the Principal AI Security Architect role.
Microsoft Copilot Azure AI Studio MCP security Non-human identity AI monitoring
View full evaluation → KPMG-AI-06 Scout score 9.0/10
Principal AI Security Architect Location to be confirmed
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates strong experience in AI security, governance, and risk management, with extensive work on generative AI platforms including Microsoft Azure OpenAI and security controls such as prompt injection prevention and adversarial detection. They have proficiency in AI platform security and guardrail configuration, evidenced by secure AI solution design on Azure and AWS and implementation of IAM, RBAC, and least-privilege principles. The resume shows knowledge of AI agent security and Model Context Protocol (MCP) security through work on agentic AI frameworks and risk assessments. IAM expertise is well covered through role and policy automation and secure API access using OAuth 2.0, JWT, and mTLS. The candidate also has strong AI logging, monitoring, auditability, and observability skills using AWS CloudWatch, CloudTrail, Security Hub, GuardDuty, and custom log parsing. Secure AI architecture at scale is demonstrated through enterprise GenAI platform deployments and MLOps pipelines. Client-facing leadership and solution-design experience are evident from cross-functional team management, client engagement, and architectural-roadmap leadership. Overall, the candidate is a strong fit for the Principal AI Security Architect role, with minor gaps in some niche preferred tools and standards.
Agentic AI risk Azure & AWS OAuth / mTLS Cloud observability MLOps
View full evaluation → KPMG-AI-07 Scout score 9.0/10
Principal AI Security Architect Location to be confirmed
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates strong experience in AI security, governance, and risk management practices, particularly in the context of generative AI and agentic AI platforms. They have hands-on experience with AI platform security and guardrail configuration, including Microsoft Azure OpenAI and RBAC, which aligns well with the Microsoft Copilot requirement. The resume explicitly mentions Model Context Protocol (MCP) security and AI agent security, as well as IAM expertise including configurations for agent and non-human identities. The candidate also shows strong capabilities in AI logging, monitoring, auditability, and observability through model governance, drift detection, audit logging, and validation frameworks. Their experience includes AI security architecture and developing secure AI solutions at scale, demonstrated by enterprise-scale generative AI platforms with secure configurations. They also have significant client-facing experience in solution design, leadership, and delivery management through stakeholder-facing roles. While some preferred experience such as CrowdStrike AI DR or NIST AI RMF is not explicitly mentioned, the candidate provides comprehensive coverage of the must-have skills. Overall, the candidate is a strong fit for the Principal AI Security Architect role.
Azure OpenAI MCP security Agent identities RBAC Enterprise delivery
View full evaluation → KPMG-AI-08 Scout score 8.5/10
Principal AI Security Architect Location to be confirmed
Scout resume evidence reviewed by Covenant HR
Scout score reasoning
The candidate demonstrates strong experience in AI security, governance, and risk management practices, particularly with Microsoft technologies and AI copilots. They have explicit experience with AI platform security and guardrail configuration, including Microsoft Copilot and Syntex. The candidate shows knowledge of Model Context Protocol (MCP) security and AI agent security through building AI copilots using MCP to interact with SharePoint and automate tasks securely. They also have IAM expertise, including agent and non-human identities, demonstrated through Microsoft Entra ID, RBAC, and automation of joiner, mover, and leaver processes. The candidate has a strong understanding of AI logging, monitoring, auditability, and observability through Azure Monitor, Application Insights, and audit logs. They have experience in AI security architecture and developing secure AI solutions at scale, including AI agents, Syntex models, and secure APIs integrated with enterprise governance. They also have significant client-facing solution-design, leadership, and delivery-management experience. Overall, the candidate aligns well with the must-have skills and demonstrates a strong fit for the Principal AI Security Architect role.
Microsoft Copilot MCP copilots Entra ID Azure Monitor Application Insights
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