GRC & Compliance
We align your security and AI programs with the frameworks that matter—from SOC 2 and CMMC to NIST AI RMF and FedRAMP.
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Frameworks We Support
Select a framework below to learn more. We help you achieve alignment, readiness, and certification across foundational, AI, regulatory, audit, and privacy standards.
Emerging Technology Governance
Regulatory & Sector-Specific Compliance
Audit & Corporate Reporting
Data Privacy
CMMC 2.0
CMMC 2.0 Readiness & Certification
Cybersecurity Maturity Model Certification for the defense industrial base and federal supply chain.
We help you achieve Level 1 (Foundational), Level 2 (Advanced, NIST SP 800-171 aligned), or Level 3 (Expert) through gap assessments, remediation support, and preparation for third-party or government assessments. Our approach includes NIST SP 800-171 alignment, POA&M development, and pre-assessment readiness so you can confidently pursue certification when required by your contracts. CMMC 2.0 service details.
NIST SP 800-171 & NIST CSF
Protecting CUI and strengthening resilience with NIST-based controls.
We support implementation of NIST SP 800-171 for protecting Controlled Unclassified Information (CUI) and the NIST Cybersecurity Framework (CSF) for broader risk management. Services include gap assessments, implementation guidance, and continuous compliance for contractors and federal supply chain partners. NIST CSF 2.0.
ISO 27001
Information security management systems (ISMS) and international certification.
We support organizations pursuing ISO 27001 certification with gap analysis, risk assessments, and preparation for certification audits. Our approach aligns your existing controls with the standard and helps you build a sustainable ISMS that meets global expectations. ISO 27001 service details.
FedRAMP
Federal Risk and Authorization Management Program readiness for cloud service providers.
If you provide cloud services to federal agencies, FedRAMP authorization may be required. We help cloud service providers achieve and maintain FedRAMP authorization with readiness assessments, control implementation support, and continuous monitoring alignment.
SOC 2
Service organization controls for security, availability, and confidentiality.
SOC 2 reports demonstrate your security and operational controls to customers and partners. We provide readiness reviews, control design assistance, and support through external audits. Whether you need Type I (point-in-time) or Type II (operating effectiveness), we help you prepare and maintain the evidence and processes auditors expect.
NIST AI RMF
The NIST AI Risk Management Framework for trustworthy AI systems.
The NIST AI Risk Management Framework provides a structured approach to identifying, assessing, and mitigating AI-related risks. We help you implement the framework's core functions—Govern, Map, Measure, and Manage—so you can deploy AI systems responsibly, demonstrate due diligence, and prepare for emerging AI regulatory requirements.
ISO 42001
The international standard for AI management systems.
ISO 42001 establishes requirements for an AI Management System (AIMS), providing a systematic approach to managing AI risks and opportunities. We help organizations understand the standard's requirements, conduct gap assessments, and build the policies, processes, and controls needed for certification—integrating AI governance with your existing ISMS and compliance programs.
OWASP Top 10 for LLMs
The most critical security risks for large language model applications.
The OWASP Top 10 for LLM Applications identifies the most critical vulnerabilities in LLM-powered systems. We use this framework to structure AI red teaming engagements and security assessments—testing for prompt injection, sensitive information disclosure, supply chain risks, and more. Our findings include actionable remediation guidance mapped to these categories.
- Prompt Injection — Direct and indirect manipulation of LLM behavior through crafted inputs
- Sensitive Information Disclosure — Data leakage through model outputs exposing PII, credentials, or proprietary data
- Training Data Poisoning — Compromised training data that introduces biases, backdoors, or vulnerabilities
OWASP Top 10 for Agentic Applications
Emerging security risks unique to autonomous AI agent architectures.
As AI agents gain autonomy—calling tools, accessing data, and making decisions—new attack vectors emerge. The OWASP Top 10 for Agentic Applications addresses these risks. We assess agentic architectures against this framework to identify vulnerabilities in goal execution, tool use, identity management, and memory handling.
- ASI01 — Agent Goal Hijacking — Manipulating an agent's objectives through adversarial inputs
- ASI02 — Tool Misuse & Exploitation — Exploiting agent access to external tools and APIs
- ASI03 — Identity & Privilege Abuse — Agents operating with excessive permissions or impersonating users
- ASI06 — Memory & Context Poisoning — Injecting malicious data into agent memory to influence future decisions
Align with the Right Frameworks
Tell us which frameworks apply to your organization—we'll help you build a realistic path to compliance and certification.