Enterprise AI Agents With Security Built In, Not Bolted On
Contain, observe, and control autonomous AI agents before they ever touch your data. Agents that only see what they should - with full audit trails and enterprise controls.
TheCopilotParadox
Enterprises are racing to deploy AI for undeniable productivity gains - but security teams are simultaneously firefighting AI-related incidents and struggling with governance gaps.
of enterprises have experienced at least one AI-related security incident
of IT leaders lack confidence managing Copilot's security and access risks
barrier to AI agent adoption: data security concerns - not model quality or UX
Why Generic Copilots Scare Security Teams
- Org-wide access patterns - agents can technically see anything a user can, which is too much given content sprawl.
- No hard segmentation between agent roles - a single compromise can expose the entire environment.
- Limited, opaque auditability of multi-step tool calls across systems.
- Agentic AI introduces autonomous tool execution and cross-system integration that require different security architecture than simple chatbots.
Zero-TrustAgentArchitecture
Not generic "we care about security" marketing. Real containment, least privilege, observable agents, and lifecycle governance - built into every layer.
Isolated Containers per Agent
Each agent runs in its own container with network boundaries and access policies defining which external systems it can reach.
Data-Scoped Agents
Permissions are defined per agent: which databases, apps, folders, or APIs it can access. Multiple agents for different departments with strictly separated access.
Policy-Driven Tools
Tools are registered with allowed operations. High-risk actions (wire transfers, data exports, policy changes) require human approval.
Comprehensive Audit Logging
Every decision and tool call is logged with correlation IDs. Logs stream into SIEM/SOC tools (Splunk, Datadog, etc.) for monitoring.
AgentsWithMinimalBlastRadius
Each agent is scoped to its role. Compromise in one never exposes the rest.
Finance Agent
Can do
- Reconcile invoices & prepare reports
- Flag anomalies in expense data
- Generate compliance summaries
Cannot do
- Move money without human approval
- Access HR files or personnel data
- Modify general ledger entries
Blast Radius
Limited to AP/AR data and read-only ERP access. Worst case: delayed report, never unauthorized transfer.
Support Agent
Can do
- Read tickets & knowledge base
- Update case statuses & send replies
- Escalate to human agents
Cannot do
- Pull raw database snapshots
- Access billing or payment data
- Modify product configuration
Blast Radius
Scoped to ticketing system and KB. Worst case: wrong ticket update — never data exfiltration.
HR Agent
Can do
- Prepare offer letters & policy docs
- Answer employee policy questions
- Schedule interviews
Cannot do
- Access salary data without approval
- Modify employment records
- Share PII externally
Blast Radius
PII access is constrained and fully logged. Worst case: draft error — never unauthorized disclosure.
Enterprise-GradeGovernance&Controls
Built to meet the requirements of CISOs, compliance teams, and regulators.
Role-Based Access Control
Admins, agent owners, and observers each get precisely scoped permissions across agents and the admin console.
Human-in-the-Loop Approvals
High-risk actions - payments, PII exports, policy changes - require human sign-off before execution.
Full Audit & Decision Replay
Replay any agent's decisions for forensics, compliance checks, or internal audit. Every action timestamped with rationale.
Zero Trust & NIST Alignment
Architecture aligns with Zero Trust, NIST, ISO 27001, GDPR, and SOC 2 principles. Deploy in your VPC if required.
SIEM & SOC Integration
Stream agent logs into Splunk, Datadog, or your existing monitoring stack. Custom log enrichment available.
Security Partnership
We collaborate with your security team: shared architecture docs, threat modeling, penetration test results, and custom controls.
WorksWith,NotAgainstYourExistingStack
Donely reduces the perceived risk of "yet another platform" by fitting into your existing identity, governance, and monitoring infrastructure.
Existing IAM & SSO
Respect your SSO providers and SCIM provisioning. No separate identity silos.
Least-Privilege Service Accounts
Agents use scoped service accounts - never broad user impersonation across your org.
Co-Exists with Copilot
Donely is for custom, workflow-heavy agents where micro-segmentation matters most.
ASecurity-FirstPilotPath
Start small, prove value, and expand with confidence.
Threat Modeling & Use-Case Selection
Work with your security and business teams to pick 1–2 low-risk but valuable workflows for the pilot.
Agent Design & Policy Definition
Scope data and tools, define policies, set approval flows, and align on logs and monitoring requirements.
Pilot & Review
Run for 30–90 days with full audit logs, then review results, adjust policies, and expand scope.
SecurityQuestionsAnswered
Every Donely agent runs in an isolated container with least-privilege credentials, scoped tool access, and full audit logging. High-risk actions require human approval. The architecture follows zero-trust principles — agents never get org-wide access by default.
Permissions are defined per agent at the data and tool layer. A Support agent sees tickets and knowledge base — never HR files or financials. Integrations are opt-in and scoped, not org-wide crawling.
Every action — tool call, file access, email send, API request — is logged with who/what/when/why and correlation IDs. Logs can stream into your SIEM (Splunk, Datadog, etc.) for monitoring and forensics.
Yes. Donely is designed for custom, workflow-heavy agents where stricter micro-segmentation is required. It co-exists with Copilot and other tools — agents use least-privilege service accounts, not broad user impersonation.
Donely aligns with Zero Trust, NIST, ISO 27001, GDPR, and SOC 2 principles. We collaborate with customer security teams to add custom controls, run threat models, and support audits.
A typical governed AI agent pilot runs 30–90 days: 1) threat modeling & use-case selection with your security team, 2) agent design & policy definition, 3) pilot with full logs, then review and iterate.
ReadytoDeployAIAgentsYourTeamCanTrust?
Book a call with our team. We'll map your use cases, define agent policies, and start a governed pilot.