Cyber Resilience & AI Security
Safeguard your digital environment and maintain operational resilience with tailored cybersecurity solutions designed to stay ahead of emerging threats.
What your team needs to decide
Cyber resilience and AI security work best when access, detection, data protection, and recovery are considered together. Decide which systems and information matter most, which AI tools are authorized, who owns approvals, and how incidents are detected and contained.
How we help
Data security and access
Map sensitive information, uncover excessive permissions, and prioritize practical safeguards using data security posture management and permission reviews.
AI and agent governance
Identify unapproved AI use, define approved workflows, and establish controls around what assistants and agents can access or disclose.
Detection and response
Align monitoring, threat detection, and incident response processes with the information and operations your organization needs to protect.
Data loss prevention
Use classification and DLP policies to reduce inappropriate sharing and movement of sensitive business data.
Zero Trust controls
Review identity, least privilege, access policies, and the operational gaps that leave systems exposed.
Lifecycle and resilience
Review how information is retained, archived, and protected so access and data handling practices stay manageable.
Read the guidance behind the recommendation
Data Security Posture Management guide
Understand sensitive-data exposure, permissions, and Microsoft 365 oversharing.
Shadow AI guide
Learn how to discover unapproved AI use and establish practical governance.
Data Loss Prevention
See how DLP helps address data movement and use alongside posture management.
Understand your AI and security exposure
Start with an AI Readiness Snapshot to review selected risks and prioritize what needs a closer look.