ThreatLocker Zero Trust Endpoint Security REST API
ThreatLocker zero trust endpoint security REST API for managed service providers and enterprises to automate application allowlisting, ringfencing, network control, and storage access management — enabling AI agents to manage security policy automation, application approval workflows, and endpoint security posture through ThreatLocker's default-deny zero trust platform. Enables AI agents to manage application control for software allowlist policy creation and management automation, handle ringfencing for application network and resource access boundary management automation, access policy management for zero trust security policy deployment and update automation, retrieve request management for user application access request approval and denial automation, manage network control for TCP/UDP network access policy enforcement automation, handle storage control for USB and removable media access policy automation, access audit logging for application execution and blocked event audit trail automation, retrieve threat detection for blocked malicious application attempt alerting automation, manage organization management for MSP multi-tenant client security policy automation, and integrate ThreatLocker with PSA platforms and SIEM for MSP security operations automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Zero trust endpoint. SOC2, FedRAMP. API key. US/EU. Application allowlist and endpoint security policy data.
⚡ Reliability
Best When
A managed service provider or enterprise security team wanting AI agents to automate zero trust application allowlisting policies, user access request workflows, and security posture management through ThreatLocker's default-deny endpoint control platform.
Avoid When
ALLOWLISTING REQUIRES INITIAL LEARNING MODE: ThreatLocker requires a learning period to build application baseline before enforcing allowlisting; automated instant-enforce assumption creates high_block_rate for immediate allowlisting without baseline; automated must complete learning mode before enforcement. MSP PARTNER ACCOUNT IS REQUIRED: ThreatLocker serves MSP partners and enterprise direct; automated general-developer assumption creates account_required for organizations without ThreatLocker agreement; automated must have ThreatLocker account. POLICY CHANGES AFFECT ENDPOINT BEHAVIOR IMMEDIATELY: ThreatLocker policy updates take effect immediately on endpoints; automated test-then-deploy assumption creates production_impact for policy changes deployed without testing in learning mode first; automated must test policies in learning/monitoring mode before enforcement. RINGFENCING REQUIRES APPLICATION UNDERSTANDING: ThreatLocker Ringfencing defines what applications can communicate with; automated generic-policy assumption creates application_blocked for ringfencing policies not accounting for legitimate application dependencies; automated must understand application dependency map before ringfencing.
Use Cases
- • Automating application allowlist policy updates when new software is approved for deployment for MSP security agents
- • Processing user application access requests and managing approval workflows for security operations agents
- • Monitoring blocked application attempts and generating security alerts for threat detection automation agents
- • Managing zero trust policies across MSP client organizations for multi-tenant security automation agents
Not For
- • Signature-based antivirus replacement without default-deny philosophy (ThreatLocker is allowlisting, not AV; organizations not ready for allowlisting face high friction)
- • Network perimeter security (ThreatLocker is endpoint zero trust; network firewalls and SASE serve perimeter security)
- • Cloud workload security for containers and serverless (ThreatLocker focuses on traditional endpoints; CWPP platforms serve cloud workloads)
Interface
Authentication
ThreatLocker uses API key for Zero Trust REST API. REST API with JSON. Orlando, FL HQ. Founded 2017 by Danny Jenkins and Sami Jenkins. Raised $356M+. Valuation: $1.5B+ (unicorn). Products: ThreatLocker Allowlisting, Ringfencing, Network Control, Storage Control, Elevation Control, ThreatLocker Detect. 40,000+ organizations. 3,500+ MSP partners. Zero trust endpoint control pioneer for MSP market. Competes with Ivanti Application Control, Carbon Black App Control, and Airlock Digital for application allowlisting.
Pricing
Orlando FL. $356M raised. $1.5B+ valuation. 40,000+ organizations. Per-endpoint MSP pricing.
Agent Metadata
Known Gotchas
- ⚠ POLICY ENFORCEMENT IS IMMEDIATE: ThreatLocker policy changes apply immediately to all endpoints in scope; automated safe-preview assumption creates immediate_production_impact for policy changes not tested in monitoring mode first; automated must implement staging workflow using monitoring mode before enforcement mode
- ⚠ APPLICATION HASH IS THE IDENTITY: ThreatLocker allowlisting uses file hash as application identity; automated filename-based assumption creates policy_bypass for policies using filename instead of hash allowing hash substitution attacks; automated must use cryptographic hash for allowlist entries
- ⚠ LEARNING MODE IS TEMPORARY: ThreatLocker learning mode captures application baseline but must be switched to enforcement; automated perpetual-learning assumption creates no_security for endpoints left in learning mode indefinitely; automated must transition endpoints from learning to enforcement after baseline period
- ⚠ MULTI-TENANT REQUIRES ORGANIZATION SCOPING: ThreatLocker MSP multi-tenant API requires organization ID for client-scoped operations; automated global-policy assumption creates cross_client_impact for policy changes not scoped to correct organization; automated must include organization identifier for all client-specific operations
- ⚠ BLOCKED EVENTS REQUIRE INVESTIGATION BEFORE APPROVAL: ThreatLocker blocked application requests should be investigated before approval; automated auto-approve assumption creates security_degradation for blocked requests approved without verifying the blocked application is legitimate; automated must implement approval review workflow
Alternatives
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Scores are editorial opinions as of 2026-03-07.