AI GOVERNANCE & AGENT SECURITY

AI Governance
& Agent Security.

We watch what your AI agents do, what costs they generate and whether they act within the allowed limits, and we stop risky actions before they cause harm.

Periodic oversight and real-time protection for companies that already use AI agents.

Discuss control of your agentsMessage us on Viber

Or call: +359 886 638 682 · Mon–Fri, 9:00–18:00

WHO IT IS FOR

You already use AI agents.
Now you need control.

For companies with a customer chatbot, an internal assistant or automated document processing and no in-house team to manage AI.

  • E-commerce
  • Teams of 5–50 people
  • Accounting and finance firms
  • Insurance agencies
  • Small SaaS companies

We help you control:

  • what data your agents use
  • what tools they use
  • what actions they take
  • what costs they generate
  • when a person must be involved
  • how you prove the system is managed
ONE SERVICE. TWO LAYERS.

Control over time.
Protection in the moment.

The first layer analyses and improves the system. The second checks each action before it is executed.

Layer 1

Governance & Oversight

Periodic: weekly, monthly, quarterly

Periodic oversight, analysis and improvement of the system.

Costs (FinOps)

FinOps: managing and optimising the cost of AI infrastructure.

  • Tracking API and token costs by agent and department (token costs: the cost of processing requests to AI models)
  • Alerts on abnormal spikes in usage
  • Monthly report with optimisation recommendations
  • Caching recommendations
  • Choosing a suitable model for simpler tasks

Logs and data

  • Weekly or monthly review of audit logs
  • Checking what data has passed through the agents
  • Checking for unmasked personal and financial data
  • Checking whether the agent followed the defined sequence of steps

Rules and logic

  • Prompt updates (the agent’s instructions)
  • Rule updates
  • State machine updates: the defined sequence of steps and checks

Reviews and documentation

  • Quarterly health check
  • Tests with edge and unusual cases
  • Compliance readiness: preparation for questions from clients, partners and auditors
  • Documentation for a client, partner or audit
Layer 2

Agent Security & Access Control

Continuous: on every action

Real-time control over agent actions.

Monitoring and checks

  • Monitoring the actions of other AI agents
  • Checking that the agent uses permitted data
  • Checking that the agent uses permitted tools
  • Checking every action against defined policies
  • Verifying the agent’s identity
  • Checking the specific resource
  • Checking the purpose and context of the action

Blocking

  • Blocking suspicious actions
  • Blocking unauthorised requests

Audit trail

  • Creating an audit log
  • Recording which agent did what and when

Human decision

  • Escalating risky cases to a named person
  • Holding an action until a human decides
  • Recording the human decision, the time and the reason
HOW CONTROL WORKS

Every action
goes through a check.

Within the agreed scope, the agent does not act directly but through a control point.

  1. Real time01

    Agent requests an action

    e.g. reading a file, sending an email, writing to CRM

  2. Real time02

    Permission check

    identity · resource · purpose and context · policy

  3. Real time03

    Decision

    • Allow
    • Block
    • Escalate

    Escalation goes to a named person. Without a decision, the action is not executed.

  4. Both layers04

    Audit log

    which agent, what, when and with what decision

  5. Periodic05

    Analysis and improvement

    periodic review, new and sharper rules

↻ Findings from the analysis return as new or sharper rules for the checks.

GOOD TO KNOW

Clear limits
of control.

Integration scope

Control is only as effective as the scope of the integration. At the start, we document which agents, data and tools are covered and where telemetry or a control point is still missing.

  • Governance monitors, analyses and improves the system over time.
  • Security & Access Control checks and limits actions in real time.
  • Logs are used by both layers, but for different purposes: for a decision in the moment and for analysis afterwards.
  • Real blocking requires integration with your agents and tools.
  • Log monitoring alone does not stop actions; it shows what has already happened.
  • An unauthorised request is not automatically a confirmed incident. Each case is reviewed and classified.
  • A human-decision timeout does not mean automatic approval. The action stays on hold or is declined.
METRICS AND MEASUREMENT

Four metrics
for real control.

We report only data actually measured for a given period. No invented results, no decorative percentages.

01

Prevented incidents

Unique confirmed risk cases in which blocking prevented execution or limited the potential harm.

A blocked request is not automatically counted as an incident. The case is reviewed and classified.

02

Response time

The time from logging a risky request to automatic blocking or sending an escalation.

  • median
  • 95th percentile
  • separately: time to human decision
03

Unauthorised requests

The number of requests without the required permission for specific data, a tool or an operation.

  • by agent
  • by resource
  • by tool
  • by rule
  • by period
04

Automatically checked actions

Automatically checked actions ÷ all logged actions in the agreed scope × 100

  • unchecked actions are reported separately
  • missing telemetry is shown separately
  • with insufficient data: “no data”, not 0%

In the monthly report

Results cover an actually measured period. If there is not enough data, we show “no data”, not 0%.

  • Trend versus the previous period
  • Blocked actions
  • Risk cases
  • False alerts
  • Unauthorised requests
  • Missing coverage
  • Recommended rule changes
PACKAGES AND PRICES

Control that fits your scale.

A monthly service, separate from the price of building an agent through Agent as a Service.

01 / START

Starter

1 AI agent for a small company

€150–250/month excl. VAT

  • Cost monitoring
  • Log review
  • Rules check
  • Monthly report
  • Documentation of control measures
Discuss Starter

02 / GROWTH

Growth

2–5 AI agents for a growing business

€400–750/month excl. VAT

  • Costs by agent and department
  • Alerts for abnormal usage
  • Log review
  • Rule updates
  • Quarterly health check
  • Governance report
Discuss Growth

03 / CUSTOM SCOPE

Enterprise-lite

More than 5 agents or a regulated business

From €1,000/month excl. VAT, by agreement

  • Custom scope
  • Critical workflows
  • More frequent reviews
  • Risk-based access and control
  • Audit documentation
  • Human escalation
  • Custom reports
Discuss the scope

All prices exclude VAT. The exact scope depends on the number of agents, the integrations, the review frequency, the actions covered and the level of human escalation required. API costs from external providers are agreed separately.

NEXT STEP

Give AI direction.
And clear limits.

Tell us how many agents you use, what tasks they perform and what you want to control.

Discuss control of your agentsNo agent yet? Agent as a Service
Call for a free consultationMessage us on Viber

Mon–Fri, 9:00–18:00

The service supports the management and control of AI systems, but it is not legal advice and does not guarantee regulatory compliance.