Comprehensive evaluation of AI and LLM systems against adversarial threats and security best practices.
AI Red Teaming
Adversarial testing to identify vulnerabilities, jailbreaks, and prompt injection risks before attackers do.
RAG Security Reviews
Security assessment of retrieval-augmented generation pipelines, including embedding and vector store risks.
Agentic AI Risk Assessments
Evaluation of autonomous AI agents for tool misuse, privilege escalation, and unsafe actions.
Specialized Services
AI Governance Reviews
Alignment of AI systems with NIST AI RMF, ISO 42001, and emerging regulatory frameworks.
AI Supply Chain Security
Assessment of third-party models, dependencies, and integration points for hidden risks.
Executive Risk Reporting
Clear, actionable reporting that translates technical findings into business risk for leadership.
Why AssureLayer
14+ Years in Enterprise Security
Led large-scale access governance initiatives within a Fortune 50 financial institution, reducing privileged database access by 95% across systems supporting 275,000+ employees — strengthening protection against insider threats, excessive access, and compliance risk.
Framework-Aligned Methodology
Assessments grounded in NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and ISO 42001 — not ad hoc testing.
Hands-On, Lab-Validated Approach
A purpose-built AI security lab with adversarial prompt libraries spanning RAG, non-RAG, and agentic AI attack scenarios, validated across multiple LLMs.
Independent and Vendor-Neutral
No ties to any AI platform or vendor. Assessments reflect your risk, not a sales agenda.
Methodology
STAGE 1
Intake & Integrity
Initial scoping, system inventory, and data integrity verification before testing begins.
STAGE 2
Supply Chain
Assessment of third-party models, dependencies, and provenance risks across the AI stack.
STAGE 3
Red Teaming
Adversarial testing using industry-standard AI security assessment methodologies and attack techniques.
STAGE 4
RAG Pipeline Security
Evaluation of retrieval pipelines, embeddings, and vector store integrity.
STAGE 5
Agentic AI Security
Testing of autonomous agent behavior, tool-use boundaries, and multi-step attack scenarios.
STAGE 6
Consolidated Reporting
Tier 1 (executive), Tier 2 (technical), and Tier 3 (remediation) reports synthesized into a master assessment.
Contact
Email: [email protected] Phone: (252) 320-9618 LinkedIn: linkedin.com/in/frederick-baffour Location: North Carolina, USA
Case Studies
Coming Soon — Practical examples of AI security assessments, adversarial testing, RAG security reviews, and agentic AI risk assessments will be published as engagements are completed.
