Services
Agentic Workflow Hardening
Secure AI agents, tool-calling, automations, and delegated workflows before they touch real systems.
Assessment and hardening for AI systems that can call tools, send messages, query data, update records, trigger workflows, browse, code, or operate across business systems. Focuses on permission design, approval boundaries, blast-radius reduction, logging, rollback, and abuse resistance.
Best for
AI Platform Lead, Product Security, Security Architect, Automation Lead
Engagement model
assessment
Duration
3-6 weeks
Deliverables
4 deliverables
What it covers
Tool permission and action boundary review
Approval, escalation, and least-privilege design
Workflow abuse cases and audit logging recommendations
Rollback, kill-switch, and migration hardening patterns
Use when
Related people
David Wolf
Builds operating models, controls, detection, and evidence layers for enterprise AI adoption.
Alex Eisen
Leads vulnerability research, incident response, product security, and AI risk management work.
Alex Karoulias
Engineering student at Athens Technical University, Class of 2027
Tim Kerimbekov
Turns cyber risk into practical security decisions.
Related proof
Start here
Scope this review through discovery, then translate the result into engineering work, buyer-ready evidence, or a follow-on engagement.
Canonical route: /services/agentic-workflow-security-hardening