Enterprise cybersecurity · AI agent security

Security for AI agents that act.

Understand what your AI agents can do. Close the control gaps. Give security reviewers evidence they can inspect.

Consultancy and engineering · Scoped to your deployment

Security for agents that can act

A customer-care agent should not export customer records because a retrieved document asks it to. A network agent should not apply a configuration change outside its approved scope. A payment agent needs transaction limits and an accountable approver.

We help define those boundaries and the controls around them: identity and permissions, checks before tool execution, records of decisions, and a route from a failed test to a verified fix. Scope and acceptance criteria are agreed for each engagement.

Built on enterprise cybersecurity delivery

EndigitalX is led by Dimitar Slavov, Founder and CEO, with more than 19 years of technology delivery experience. At Liberty Global, his work covered vulnerability remediation, cloud and endpoint protection, threat intelligence and ISO 27001 certification preparation.

That experience informs our approach to AI agent security: integrate with the controls a client already operates, assign remediation owners, and prepare evidence during delivery. Prior employment is Dimitar's professional background, rather than an EndigitalX client relationship.

Evidence before assurance

A useful review identifies the system version tested, the actions and scenarios covered, the results and unresolved risks. It also tells the reviewer what was not tested.

Our assessment is readiness and engineering work. It does not issue a certificate, guarantee an external review outcome, or replace a client's risk acceptance decision.

Discuss your first assessment

Tell us which systems, actions and review requirements are in scope. We will discuss the work, responsibilities and deliverables before you commit.