Context and data
Company knowledge and connected information enter the work within the organization and project that own them.
Security for AI Workforces
Security must be rebuilt for the age of autonomous AI workforces.
Codespeed combines deterministic controls with intelligent security systems to protect AI work from its first instruction through every consequential action.
Security & Trust Specialist
Specialist activeDependency update
review requested
Credential change
decision required
Security signals stay connected to the software work and the team responsible for it.
The Security Surface
Autonomous AI work creates an entirely new security surface.
Security begins with the context that shapes the work and remains active through the environments, systems, and decisions it reaches.
Governed environments
AI work runs inside controlled cloud environments shaped by organization and project policy.
Systems and credentials
Access to repositories, providers, databases, and production systems follows explicit company policy.
Decisions and records
Checks, stops, approvals, and consequential decisions remain visible beside the work they shaped.
Security Specialists
Security becomes part of the workforce itself.
Security & Trust specialists work inside the same system as the rest of the workforce. Shape their focus around authentication, dependencies, packages, pull requests, and the risks specific to the work, then review what they return beside the work it concerns.
Security Review
Open patient records to a partner care network
Review in progress
Work Context
Patient records API
The objective, decisions, and review history stay together in the Thread.
Specialist Team
Patient Data Threat Specialist
Scans and analyzes the codebase for ways an AI threat actor might reach patient records.
Finding Returned
The finding appears in the same Thread for your team to review.
Across The Workforce
One security posture across every level of autonomy.
The same boundaries and authority remain active as people and specialists take on different amounts of responsibility.
Supervised work
Security context accompanies the work into review so the person deciding can see what changed and what matters.
Collaborative work
People and specialists work inside the same company boundaries as responsibility moves through the team.
Autonomous work
Deterministic controls, protected resources, and incident authority remain active as the workforce carries more work forward.
Security & Trust
Protect what the workforce reaches.
Governed Workspaces
AI work runs inside controlled cloud environments governed by organization and project policy.
Production Safety
Protected branches and production systems remain under your team’s control.
Credentials and Data
Sensitive access and model use follow your organization’s security and privacy policies.
Incident Control
Authorized administrators can contain work and review what happened.