Early access: onboarding design partners in the UK and EU through Q4 2026. Apply

Every AI agent, accounted for.

Luckysoft is the control plane for the agents your company already runs: it finds them wherever they live, governs what each one can reach, stops unsafe actions before they execute, and keeps the evidence your auditors ask for.

Get a demo How it works
Gartner projects 150,000+ AI agents per Fortune 500 company by 2028. Only 13% of organizations say they govern them properly.
inventory / all agents
last scan 4 min ago
Agents2,847
Unowned41
High risk96
Policies active128
agentplatformownerrisk
finance-reconcilerCopilot Studioj.harperHigh
sc-forecast-botAWS BedrockunassignedShadow
claims-intakeAgentforcer.duboisHigh
support-triageChatGPT Enterprisem.okaforLow
code-review-agentClaudeplatform-engLow
hr-onboarding-flowAzure AI Foundrys.lindqvistReview
Enforced inline 09:42:17
finance-reconciler: export of 12,400 customer rows to an external endpoint stopped before execution. Policy DG-014, PII boundary. 0 rows left. Owner notified, case opened. View case
Detections and controls mapped to
OWASP Agentic AI Top 10 MITRE ATLAS NIST AI RMF ISO/IEC 42001 EU AI Act

An agent is an identity that acts. Govern it like one — end to end.

A correctly permissioned agent can still leak data. A finding that looks theoretical can be live on a server tonight. Governance only holds when discovery, policy and runtime response share one record of the same agent — so the platform is built as three layers over one inventory.

Know what is running, who owns it, and what it can reach.

Discovery is continuous, not a quarterly survey. Every agent lands in the inventory with its platform, owner, credentials, tool bindings and data paths — including the ones no team registered.

Agent inventory. Live register across SaaS, cloud, frameworks and endpoints, with ownership assigned or escalated.
Posture assessment. Configuration and permissions checked against policy before an agent goes live.
Exposure paths. Which attack paths are actually exploitable, scored, with a fix ready to apply.
discovery / by sourcescan complete
Copilot Studio1,204
Local and coding agents923
Salesforce Agentforce402
AWS Bedrock318
Unregistered (shadow)312
41 agents without an ownerAssign owners

Agents live in three places. Cover all of them.

Control gaps grow as fast as adoption. One inventory across embedded, homegrown and personal agents is the only view that holds.

Embedded in SaaS

Agents built inside the productivity stack, often by business teams, with inherited permissions nobody reviewed.

Copilot Studio Microsoft 365 Copilot Salesforce Agentforce ServiceNow Power Platform

Homegrown and cloud

Agents your engineers build on model platforms and frameworks, from configuration risk through runtime behavior.

AWS Bedrock AgentCore Google Vertex AI Azure AI Foundry LangChain CrewAI MCP servers

Personal and coding agents

Agents on employee machines with shell access, repositories and credentials, covered with lightweight endpoint monitoring.

ChatGPT Enterprise Claude Enterprise Claude Code Cursor GitHub Copilot

Your existing stack sees requests. Agents make decisions.

DLP, IAM, EDR and CSPM stay essential. None of them was built to watch software that reasons, chains tools and acts on someone's behalf.

Sees inputs and outputsKnows the agent's identitySees multi-step actionsGoverns before execution
DLP and AppSec
IAM and PAM
EDR and XDR
CSPM and CNAPP
Luckysoft

What changes for each team.

Security

Shadow agents stop being a surprise in the incident report.

Continuous discovery, exploitable-path scoring and inline blocking, routed into the SIEM and ticketing you already run.

AI and platform teams

Ship agents faster because approval is a policy, not a meeting.

Pre-approved patterns by risk tier let low-risk agents go live in hours while high-risk ones get real review.

Risk and compliance

Evidence comes from runtime, not from a questionnaire.

Every action and verdict is mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001 as it happens.

Finance

Know what the agent fleet costs and what it returns.

Cost and usage per agent, duplicates and idle agents surfaced, outcomes tracked against the work replaced.

Field notes from securing agents in production.

Attack techniques we have reproduced, controls that held, and the policy patterns we ship to design partners.

Request the research digest
Research Indirect prompt injection through shared documents: how one spreadsheet turned a reconciliation agent into an exfiltration path 11 min Guide The CISO checklist for AI agent governance: inventory, ownership, least privilege, runtime, evidence 14 min Compliance EU AI Act for agentic systems: what "high-risk" means when the system decides and acts on its own 9 min Playbook Finding the agents nobody registered: a discovery playbook for Copilot Studio, Agentforce and Bedrock 8 min

See your agent inventory in one session.

Thirty minutes with an engineer. Connect one platform in a sandbox, watch discovery run, and leave with a picture of what governance looks like on your estate.

Design-partner program open for UK and EU enterprises. Prefer email? hello@luckysoft.solutions

We reply within one business day. No mailing lists.

Luckysoft

The control plane for enterprise AI agents. Discover, govern, respond — over one inventory.

Platform Agent inventory Posture assessment Exposure paths Identity and access Policy engine Runtime detection Audit ledger
By platform Copilot Studio Microsoft 365 Copilot Salesforce Agentforce AWS Bedrock Google Vertex AI Azure AI Foundry ChatGPT Enterprise
By risk Shadow AI Data leakage Prompt injection Destructive actions Over-permissioned agents
Compliance EU AI Act NIST AI RMF ISO/IEC 42001 OWASP Agentic Top 10 MITRE ATLAS
Company Pricing Research Contact Gratitude
LUCKYSOFT LTD, company no. 17464155. Registered office: 71–75 Shelton Street, Covent Garden, London WC2H 9JQ, United Kingdom.
Privacy Terms Refunds © 2026