Governance
Who is using which AI surface, and with what data?
Complete identity mapping, surface discovery and data classification tracking.
AI Identity ModelUse Cases
One control framework for every leadership role.
Each team's priorities connect AI controls to the risks they manage. ByteGuard gives security, compliance, SOC and IT teams the same source of truth.
Governing enterprise AI
Enterprise AI extends beyond a single application.
AI use spans web, desktop, CLI, IDE, local LLMs and the agent and tool ecosystem. Three questions decide whether it is under control.
Security
Are prompts, files and tool calls checked before leaving the organization?
Inline inspection, DLP policies, real-time blocking and credential protection.
Pre-provider EnforcementIT Security
Which endpoints host these surfaces, and which versions and policies apply?
Endpoint posture validation, app version control and compliance enforcement.
Endpoint AgentsBy leadership role
What each team gets from ByteGuard.
CISO / Security
- Pre-provider control
- Fail-closed handling
- Auditability
Governance / Compliance
- Identity · department
- Retention
- Policy evidence
- Usage & budget reports
SOC / SecOps
- Events
- Matched rules
- Trace & investigation
IT / Endpoint
- Agent lifecycle
- Browser policy
- Platform health
Existing security stack
AI awareness for existing security investments.
ByteGuard provides a standalone AI security layer while strengthening integration with existing products.
DLP
EDR / Endpoint
Identity / Directory
Standalone AI Security Layer
SIEM / SOC
SWG / Proxy
DNS Security
Firewall
See ByteGuard in your environment.
Book a walkthrough with our team. We will map your AI surfaces and show policy enforcement live.