Without the right safeguards, AI tools can expose sensitive data, introduce new risks and create uncertainty for IT and security teams. An AI assistant that can read every file a user can open will surface every overshared document, and an AI agent connected to business systems needs the same access controls as any other user.
AI affects your network, identity, devices, governance and data all at once. We bring these areas together in one readiness approach instead of treating them separately.
- AI Readiness Assessment: Evaluates governance, risk and operational readiness for AI adoption and delivers a prioritized roadmap.
- AI Governance and Compliance Assessment: Assesses your AI practices against frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001 and identifies gaps.
- Network AI Readiness Assessment: Reviews network architecture, cloud connectivity and security controls to support AI workloads.
- AI Data Protection Foundations: Implements data classification, sensitivity labeling and data loss prevention controls that govern what AI tools can access.
- Identity and Access Readiness: Assesses identity platforms and access policies to support zero trust access for AI tools and agents.
- AI Policy and Ongoing Governance: Develops AI-ready IT and security policies, with optional ongoing monitoring, policy updates and compliance support.
- Secure AI Development: When we build AI agents and LLM applications for you, security is designed in, with access-controlled data retrieval, guardrails against prompt injection, logging and human review.
- Assess: We review your current AI use, data, identity, devices and network, and the AI initiatives you are planning.
- Prioritize: We translate technical findings into clear priorities and a roadmap your leadership team can act on.
- Implement Foundations: We put the essential controls in place, from data labeling and loss prevention to access policies and AI usage guidelines.
- Govern and Scale: As adoption grows, ongoing governance keeps your AI environment secure, compliant and aligned with evolving regulations.
- Security Built for AI: We connect AI readiness with zero trust access, managed endpoints that keep AI tools on trusted devices, and clear policies that enable safe use.
- Standards Aligned: Our guidance is grounded in frameworks such as NIST AI RMF and ISO/IEC 42001, helping you build responsible and defensible AI practices.
- Operationally Real: Recommendations are designed to work with your existing IT and security operations, and can move into managed services when needed.
- AI Builders, Not Just Advisors: Our engineers design and deliver AI agents, LLM applications and automation, so our security guidance reflects how AI is actually built and used.
No. An assessment identifies where data, access and policy gaps exist today, and helps you put controls in place without stopping the tools your teams already rely on.
Our assessments are aligned with recognized frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001, together with your industry requirements.
Not necessarily. Many controls can be configured in platforms you already use. Where gaps remain, we recommend practical options that fit your environment.
Yes. Security is part of how we design AI agents and LLM applications, including access controls, guardrails, logging and human review.
It can be. Many organizations start with an assessment and roadmap, then choose ongoing governance and compliance support as AI adoption expands.
Ready to build? Our engineers design AI agents, LLM applications and intelligent automation with security built in.