The agent proposes.
The boundary is explicit.
Identify the caller, tool, target and arguments. Understand the action before it reaches a downstream system.
IdentityToolTarget
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.
INDEPENDENT THINKING.
PRECISE ENGINEERING.
PRECISE ENGINEERING.
Consultancy and engineering
Scoped to your deployment
For AI product companiesReady for the
Control your
Ready for the
enterprise review.
Prepare for customer security review with clear control mappings, scoped tests and an evidence pack.
For enterprise teamsControl your
agent estate.
Define which actions are allowed, who approves high-impact changes, and how incidents and remediation are handled.
01 /
Assess.
Gate Readiness Assessment
Inventory agents, identities, tools and data flows. Test the high-risk actions in an agreed environment and prioritise the gaps.
02 /
Implement.
Guardrail Engineering
Engineer access controls, action policies, approvals and remediation into the systems you operate.
03 /
Assure.
Continuous Assurance
Scope regression tests, evidence updates and periodic control reviews around changes to your agents.
Control at the action · Design pattern
Authority belongs
in the controls.
An illustrative architecture.
Designed around your deployment.
The agent proposes.
Policy decides.
Permission has limits.
Check permissions, scope and approval at the tool execution boundary. Outside scope, deny the action.
PermissionsLimitsApproval
Act within scope.
Leave inspectable evidence.
The tool executes the allowed action. Record the decision so reviewers can reconstruct what happened.
Explore the approachSecurity 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 what you need to protect, improve or achieve. We will help you identify the control gaps, prioritise the work and define practical steps towards your goal.