A single integration can connect your security platform to threat intelligence, vulnerability findings, and monitoring workflows across multiple client environments. If that integration uses broad permissions, weak token handling, undocumented endpoints, or incomplete logging, one overlooked control can expose more than one customer at a time.
That's why API security best practices must protect more than authentication. A reliable program covers identity, authorization, transport, input handling, data exposure, availability, secrets, observability, software delivery, and recovery. It also has to work operationally for MSPs and MSSPs, where a change to one integration may affect many tenants and service workflows.
The roadmap below starts with preventive controls, moves into delivery-stage testing and runtime detection, then finishes with governance and incident response. It aligns practical decisions to the OWASP API Security Top 10, including BOLA, broken authentication, authorization failures, unrestricted resource consumption, inventory weaknesses, and unsafe API consumption. A deployment checklist at the end turns the recommendations into an operating routine.
Table of Contents
- 1. Implement OAuth 2.0 and OpenID Connect for Authentication
- 2. Implement Least Privilege Access Control and Scope Limitations
- 3. Enforce HTTPS and TLS, Then Consider mTLS
- 4. Validate Inputs and Enforce API Schemas
- 5. Use an API Gateway and Web Application Firewall
- 6. Apply Rate Limiting and Throttling
- 7. Manage Secrets, API Keys, and Their Lifecycle
- 8. Build Logging, Monitoring, and Alerting Into Operations
- 9. Test APIs in CI/CD and Map Controls to OWASP
- 10. Version APIs and Plan Safe Deprecation
- 11. Govern API Security and Prepare Incident Response
- API Security: 11 Best Practices Comparison
- Turn the Roundup Into an API Security Program
1. Implement OAuth 2.0 and OpenID Connect for Authentication
Authentication should establish who or what is calling an API without forcing applications to share user passwords. OAuth 2.0 provides delegated access through tokens, while OpenID Connect adds an identity layer for applications that need to verify the user behind a request.
For an MSP or MSSP, that distinction matters. A security operations platform may need permission to retrieve vulnerability findings, while a client portal may need a narrower ability to display selected results. OAuth scopes can express those differences without giving every integration the same credentials.
Use the authorization code flow for web applications, protect OAuth endpoints with HTTPS, and validate redirect URIs strictly. Refresh tokens belong in protected server-side storage, not in browser code or mobile applications. Access tokens should expire, and your system should provide a controlled refresh and revocation process.
Make token validation a server responsibility
The API must validate the token signature, issuer, audience, expiration, and relevant scopes. Don't rely on the client interface to hide privileged actions. An attacker can call the endpoint directly, bypassing the interface entirely.
Examples include Google Cloud APIs using OAuth for third-party integrations, Microsoft Azure identity services connecting with partner security tools, and Okta providing OAuth-based access for enterprise applications. The protocol doesn't remove implementation risk, so audit granted scopes and revoke permissions that no longer serve a business purpose.
Later in the lifecycle, review token use alongside authentication failures, unusual client behavior, and tenant access. A valid token can still be misused, especially if its scope is broader than the integration requires.
Practical rule: Treat every token as an operational credential. Define its owner, permitted actions, expiration behavior, storage location, and revocation path before production access is granted.
2. Implement Least Privilege Access Control and Scope Limitations
A token can be valid and still have too much power. Least privilege limits each user, service account, application, and integration to the resources and operations it needs.
Start by separating scopes by action. A read-only threat intelligence integration shouldn't receive write, delete, or administrative permissions. Make minimal access the default, then require explicit approval for broader scopes. Document what each scope permits in plain language, including which tenants, records, and endpoints it can reach.
This is especially important in multi-tenant environments. An MSP integration should be able to retrieve data for the assigned client organization, not enumerate another customer's findings by changing an account identifier in a request. Authorization must check both the requested action and the specific object.
Design permissions around blast radius
Use restricted service accounts for machine-to-machine connections. Apply resource-based policies where available, and add network restrictions such as approved source addresses when they fit the architecture. IP restrictions can reduce exposure, but they shouldn't replace identity and object-level authorization because traffic may pass through proxies, cloud services, or shared infrastructure.
Useful controls include:
- Separate scopes by operation: Distinguish read, write, delete, and administrative access instead of grouping them under one broad permission.
- Use short-lived credentials: Reduce the period in which a stolen token remains useful.
- Review access regularly: Remove unused permissions and revoke integrations that no longer have an owner.
- Isolate client data: Bind service accounts and policies to the correct customer organization or tenant.
Google Cloud IAM service accounts, granular GitHub tokens, and AWS API Gateway resource policies all illustrate the same design principle. The product differs, but the decision is consistent: grant the smallest useful permission set, then verify it at every sensitive endpoint. For broader guidance on controlling identities across systems, review these identity management solutions.
3. Enforce HTTPS and TLS, Then Consider mTLS
Transport security protects API traffic from interception and tampering while it moves between clients, gateways, services, and third-party systems. Every production API should use HTTPS, with modern TLS configuration and a certificate lifecycle that someone actively owns.
Use TLS 1.2 or higher, prefer TLS 1.3 where compatible, and disable obsolete protocol versions. Strong cipher selection matters, but configuration alone isn't enough. A certificate that expires unexpectedly can interrupt security workflows just as surely as an application defect.
Use mutual TLS for controlled service connections
Standard TLS authenticates the server to the client. Mutual TLS, or mTLS, adds a client certificate so both sides present cryptographic identity. That makes it useful for controlled service-to-service integrations, private partner connections, and environments where an API should only accept requests from registered workloads.
mTLS can create operational overhead. Certificate issuance, storage, renewal, revocation, and rotation all need automation. It can also complicate troubleshooting when a certificate chain or trust store is wrong. Use it where both parties are managed and the stronger identity signal justifies that overhead. For public client applications, OAuth, signed tokens, and gateway controls may be more practical.
Automate certificate renewal through services such as AWS Certificate Manager, monitor expiration, and review cipher suites as platforms change. Mobile or native clients may also need carefully managed certificate pinning, although pinning creates its own update and recovery considerations.
Encryption protects the connection, not the permission behind it. A perfectly encrypted request can still expose another tenant's object if the API skips object-level authorization.
4. Validate Inputs and Enforce API Schemas
A request should pass through defined checks before it reaches business logic, databases, file systems, or downstream services. Schema validation specifies the fields, types, formats, lengths, ranges, and relationships an API accepts. Reject malformed, unexpected, or excessive input rather than relying on a browser or partner application to filter it.
Build schemas from the endpoint's real contract. A vulnerability search endpoint might allow only defined severity values. A scan configuration could accept a target domain, validate its format, and enforce limits that match the service. An allow-list makes undocumented fields and unexpected values visible during testing, then blocks them in production.
Apply checks at two layers
Gateway checks can reject obvious errors early and reduce backend work. The application must validate again because it knows authorization context, workflow state, and relationships that an edge control may not understand. For an MSP or MSSP, keeping the contract in version control gives engineers a reviewable policy and lets operations compare rejected requests across client environments.
Use JSON Schema or an equivalent contract, then connect validation to safe execution:
- Use parameterized queries: Never concatenate request data into SQL, NoSQL, shell, or file-system operations.
- Control accepted fields: Map permitted properties explicitly to internal objects. This blocks mass assignment, where a caller submits fields the endpoint never intended to expose.
- Limit payload size: Reject oversized bodies and expensive query patterns before they consume worker, database, or downstream-service capacity.
- Keep errors useful but safe: Identify the invalid field and expected format without returning stack traces, SQL statements, file paths, or system internals.
- Log rejected requests carefully: Record enough context to identify probing, while redacting credentials, personal data, and sensitive payload content.
PostgreSQL parameterized queries and JSON Schema validation show the separation between input and execution. Apply the same boundary to responses. Return only fields the caller is authorized to receive, instead of sending a full database object and expecting the client to hide sensitive properties.
5. Use an API Gateway and Web Application Firewall
Route public API traffic through an API gateway before it reaches application services. This creates a shared enforcement point for authentication checks, routing, quotas, method restrictions, and request logs. A WAF examines web requests for recognized malicious patterns, adding another barrier for internet-facing endpoints.
For an MSP or MSSP supporting several client environments, centralized policy reduces duplicated configuration across microservices. AWS API Gateway with WAF, Cloudflare WAF, and Kong can provide these functions, but the operational trade-off is added platform complexity. Teams must account for gateway availability, policy deployment, log storage, and ownership when a rule blocks legitimate traffic.
Keep authorization in the service. A gateway can confirm that a token is valid and correctly scoped, while the backend still needs to verify whether the caller may access the requested object or tenant. Gateway controls therefore support defense in depth rather than replacing application checks.
Build the gateway around operational ownership
Begin with an inventory of public routes, legacy paths, downstream services, and data flows. Use attack surface analysis to identify endpoints that could remain outside the gateway policy boundary.
Configure gateway components for resilience and send both gateway events and WAF decisions to the monitoring system. Start new WAF rules in detection mode where false positives could interrupt client workflows. Review matches against known integrations and authorized security scans, then promote tested rules to blocking mode. Record who approves changes and how an MSP communicates exceptions to each client.
Apply policies that match the service design:
- Authentication enforcement: Reject missing, expired, malformed, or incorrectly scoped credentials.
- Method and content controls: Allow documented methods, content types, and request structures only.
- Tenant-aware routing: Direct requests to the service and data partition for the caller's authorized organization.
- Request quotas: Stop abusive or unexpectedly expensive traffic before it consumes application capacity.
- WAF inspection: Detect injection and other malicious payload patterns, then tune rules against verified application behavior.
Review gateway logs with application authorization failures and incident alerts. This correlation helps analysts distinguish a misconfigured client from probing that targets undocumented routes.
6. Apply Rate Limiting and Throttling
Availability controls should reflect how each endpoint consumes resources. Rate limiting caps requests over a defined interval. Throttling slows or constrains clients as they approach a limit, allowing the service to preserve capacity instead of failing abruptly.
A single limit rarely works across an entire API. Login, token issuance, search, report generation, and bulk export endpoints have different abuse and cost profiles. An unauthenticated request may deserve a tighter limit than an authenticated service account, while a trusted client may still need a quota for expensive operations.
GitHub's API limits unauthenticated requests, AWS API Gateway can enforce limits on Lambda-backed endpoints, and Stripe uses account-aware controls. These examples show why quotas should match the service relationship rather than rely on one arbitrary threshold.
Make limits understandable to clients
Return clear status information, including appropriate rate-limit headers and a 429 response when a client exceeds its allocation. Documentation should explain the limit model, retry behavior, and whether clients can request a higher tier.
Client implementations should use exponential backoff and respect server guidance. Blind retries can turn a temporary problem into a sustained availability event. On the service side, monitor violations by token, account, IP, route, and tenant. A burst of failures on a token endpoint may indicate credential abuse, while repeated expensive searches from a valid account may indicate automation or business-logic misuse.
Rate limiting also supports fairness in MSP environments. One client's scan or data export shouldn't consume the capacity needed to serve every other customer. Combine limits with payload size controls, query complexity checks, and behavioral monitoring for stronger protection against resource exhaustion.
7. Manage Secrets, API Keys, and Their Lifecycle
Assign every secret an owner, storage location, rotation schedule, and revocation procedure. API keys, client secrets, signing keys, refresh tokens, and service credentials are production assets. Treating them as ordinary configuration makes ownership and response unclear.
Keep secrets out of source repositories, client-side JavaScript, and mobile binaries. Store them in a managed secrets service or vault connected to CI/CD and production workloads. Limit retrieval to approved processes, and log access to the vault without recording the secret value.
Rotation needs a migration path that avoids unnecessary outages. Issue a replacement credential, deploy it to approved consumers, confirm successful use, then revoke the retiring credential. A short overlap period lets teams identify clients that have not migrated while both versions remain distinguishable.
Set operational rules before a key is issued:
- Who can create a key: Restrict creation to approved operators or automated workflows.
- Where can it be used: Apply endpoint, tenant, network, and action restrictions.
- How is it monitored: Record last use, source, failed attempts, and unusual geography or volume.
- What happens after exposure: Revoke the key, investigate activity, preserve relevant logs, and issue a replacement.
- How are clients notified: Give named owners a documented migration path and deadline.
For MSPs, isolate credentials by client integration whenever possible. A shared key links several customers to one investigation and makes revocation disruptive. Dark web monitoring capabilities can add exposed-credential or attack-indicator signals to the response workflow, but teams still need application telemetry to confirm whether a discovered secret was used. Review unused keys regularly and remove them rather than carrying unknown access into the next deployment.
8. Build Logging, Monitoring, and Alerting Into Operations
Preventive controls can't show whether an API is being misused after a valid login. Logging and monitoring provide the evidence needed to identify abnormal access, investigate incidents, and confirm that controls work in production.
Capture authentication attempts, token use, authorization failures, sensitive actions, validation failures, rate-limit events, response status, latency, source context, and the target tenant or object where appropriate. Use structured logs, such as JSON, so a SIEM or analytics platform can correlate events reliably.
Don't record passwords, complete access tokens, API keys, or unnecessary personal data. Redact sensitive fields before logs leave the application, define retention according to operational and compliance needs, and protect log integrity from unauthorized alteration.
Alert on patterns, not isolated noise
A single failed request may be harmless. A sequence of failures across many accounts, repeated object identifiers, unusual data volume, or access to endpoints a client never uses deserves investigation. Correlate API events with vulnerability findings, threat intelligence, exposed credential alerts, and other security telemetry.
Examples include AWS CloudTrail for API activity, Datadog for usage and performance monitoring, and Splunk for correlation and investigation. The tool matters less than the operating model. Assign alert owners, define severity and escalation, and test whether responders can retrieve the evidence they need.
For an MSP, dashboards should separate tenant activity while allowing the security team to identify cross-client patterns. A shared alert queue without tenant context can create both missed incidents and unnecessary escalation.
9. Test APIs in CI/CD and Map Controls to OWASP
Treat API security testing as a release control, not a scan performed after deployment. A 2024 industry report found that only 7.5% of organizations had dedicated API testing and threat modeling programs, while 58% had an established API discovery process (Salt Security's 2024 report). The gap leaves teams dependent on perimeter defenses and periodic reviews instead of repeatable checks in delivery workflows.
Map tests to the OWASP API Security Top 10 and to the controls already used by the service. The 2023 list retained Broken Object Level Authorization as API1:2023 and covers broken authentication, property-level and function-level authorization, resource consumption, sensitive business flows, SSRF, misconfiguration, inventory management, and unsafe API consumption. Use the list to identify missing tests, then assign each control an owner and pass condition.
Put tests where they provide evidence
Run SAST during pull requests to catch unsafe input handling, exposed secrets, and risky code patterns. Use DAST against a deployed test API to verify authentication, authorization, schemas, and error behavior. IAST can connect a runtime finding to the vulnerable code path, which helps developers reproduce and fix it.
Prioritize negative tests that mirror tenant and client abuse cases:
- Object authorization: Change object identifiers and verify access is denied across tenants.
- Token handling: Try expired, malformed, incorrectly scoped, and revoked tokens.
- Input boundaries: Submit malformed JSON, unexpected fields, oversized payloads, and invalid types.
- Business workflows: Skip required steps, repeat restricted actions, or change state out of sequence.
- Data exposure: Confirm responses return only fields the caller may access.
In 2026, an Akamai API Security study reported that only 16% of enterprises fully integrated API security testing into development pipelines (the referenced API security study). An MSSP can use pipeline injection tests and policy-as-code gates to close that operational gap across client environments. Each finding should have an owner, severity, retest result, and retained evidence.
10. Version APIs and Plan Safe Deprecation
Old API behavior can preserve an unresolved vulnerability long after a newer release exists. Versioning gives clients a controlled migration path, while leaving multiple implementations active increases the work required to keep authentication, authorization, validation, and monitoring consistent.
Choose one clear versioning method, such as a path or header, and document the contract for each version. Route versions deliberately through the gateway. A new release does not automatically inherit security fixes from an older implementation unless both use the same enforced controls.
Make retirement part of the security workflow
Start deprecation by publishing notice, naming client owners, measuring version usage, and providing migration guidance. MSPs may need a longer transition because one integration can support several customer environments. Keeping a legacy route online indefinitely, however, extends exposure and creates continuing review work.
Use this retirement check before removing access:
- Consumers are identified: Include internal teams, partners, resellers, and client-specific workflows.
- Security fixes are applied or access is blocked: Older versions must not bypass stronger authorization introduced in newer releases.
- Usage is measurable: Track calls by version, client, tenant, and endpoint.
- Migration is tested: Verify authentication, scopes, schemas, response fields, and error behavior.
- Sunset is enforceable: Remove routes, credentials, documentation, and monitoring exceptions when the version is retired.
Stripe's versioned API approach and GitHub's documented movement between API approaches show how clear contracts and migration communication support controlled change. Set the timeline according to client dependencies and risk, rather than making a promise the organization cannot enforce.
11. Govern API Security and Prepare Incident Response
Assign every API an owner and record its data classification, approved authentication model, threat model, known consumers, and retirement path. This inventory gives security teams and MSPs a basis for access reviews, client reporting, and change approval.
OWASP alignment structures risk discussions, while governance must also cover tenant isolation, partner access, sensitive data, error responses, logging, and authorized testing. Require security review for new APIs and material changes. Before penetration testing, document targets, credentials, test windows, rate limits, and the approval chain to prevent testing from disrupting production.
Keep the response plan operational, with named people and tested permissions. The team should know who can revoke tokens and keys, isolate a tenant or service, preserve logs, contact partners, assess exposure, and confirm recovery.
Use this runbook during an incident:
- Contain access: Revoke exposed credentials, disable affected routes, or apply temporary gateway restrictions.
- Protect customer boundaries: Isolate affected tenants and check for cross-tenant access.
- Preserve evidence: Retain gateway, application, identity, and downstream service logs.
- Investigate scope: Review accessed objects, unusual workflows, token use, and data exports.
- Recover safely: Patch the weakness, rotate related secrets, restore routing, and test the controls.
- Communicate clearly: Notify owners, clients, partners, and regulators when the situation requires it.
MSPs and MSSPs should map each action to an escalation owner, client notification process, and evidence-retention requirement. Use the steps after a data breach alongside API-specific containment and authorization analysis.
After recovery, add regression tests, review monitoring gaps, and update the threat model. Record the cause, affected consumers, and control changes so future releases do not repeat the failure.
API Security: 11 Best Practices Comparison
| Practice | Implementation Complexity 🔄 | Resource Requirements ⚡ | Expected Outcomes 📊 | Ideal Use Cases 💡 | Key Advantages ⭐ |
|---|---|---|---|---|---|
| Implement OAuth 2.0 and OpenID Connect for Authentication | 🔄 High, multi‑flow + token mgmt | ⚡ Medium, IdP + secure storage | 📊 Strong, delegated access, multi‑tenant (⭐️⭐️⭐️⭐️) | 💡 Third‑party integrations, MSP multi‑client APIs | ⭐ Standardized, avoids credential sharing |
| Implement Least Privilege Access Control and Scope Limitations | 🔄 High, fine‑grained policies & RBAC/ABAC | ⚡ High, IAM, policy admin, audits | 📊 High, reduced blast radius, improved compliance (⭐️⭐️⭐️⭐️) | 💡 Multi‑tenant isolation; client‑specific data access | ⭐ Minimizes data exposure and privilege escalation |
| Enforce HTTPS/TLS and Consider mTLS | 🔄 Low, well understood but operational | ⚡ Low‑Medium, certs + monitoring | 📊 Very high, protects data in transit (⭐️⭐️⭐️⭐️⭐️) | 💡 All APIs; mTLS for trusted service‑to‑service links | ⭐ Prevents MITM; required for compliance |
| Validate Inputs and Enforce API Schemas | 🔄 Medium, schema design + validations | ⚡ Low, libraries + testing | 📊 High, prevents injection & malformed data (⭐️⭐️⭐️⭐️) | 💡 Any API accepting user parameters or queries | ⭐ Reduces attack surface and increases reliability |
| Use an API Gateway and Web Application Firewall | 🔄 Medium‑High, routing, rules, scaling | ⚡ High, gateway/WAF infrastructure & tuning | 📊 High, centralized protection & observability (⭐️⭐️⭐️⭐️) | 💡 Consolidating security for many backend services | ⭐ Centralizes controls; adds WAF/DDoS defenses |
| Apply Rate Limiting and Throttling | 🔄 Medium, algorithm design + tuning | ⚡ Medium, enforcement + monitoring | 📊 High, prevents abuse, preserves availability (⭐️⭐️⭐️⭐️) | 💡 Public APIs, multi‑tenant usage, cost control | ⭐ Protects against DDoS and unfair consumption |
| Manage Secrets, API Keys, and Their Lifecycle | 🔄 Medium, rotation workflows & tooling | ⚡ Medium, secret manager + automation | 📊 High, reduces exposure window (⭐️⭐️⭐️⭐️) | 💡 Long‑lived integrations, MSP client keys | ⭐ Limits impact of key compromise; supports audits |
| Build Logging, Monitoring, and Alerting Into Operations | 🔄 Medium, log design & alert tuning | ⚡ High, storage, SIEM, analysts | 📊 Very high, detection, forensics, compliance (⭐️⭐️⭐️⭐️⭐️) | 💡 Incident detection, usage analytics, audits | ⭐ Enables rapid detection and incident response |
| Test APIs in CI/CD and Map Controls to OWASP | 🔄 Medium, tooling + test design | ⚡ Medium, scanners + test environments | 📊 High, earlier vulnerability discovery (⭐️⭐️⭐️⭐️) | 💡 DevSecOps pipelines; pre‑release security gates | ⭐ Shifts left security; repeatable checks |
| Version APIs and Plan Safe Deprecation | 🔄 Medium, versioning strategy & docs | ⚡ Medium, routing + support overhead | 📊 Medium, stable upgrades, reduced breakage (⭐️⭐️⭐️) | 💡 Evolving APIs with many external clients | ⭐ Enables backward compatibility and planned migration |
| Govern API Security and Prepare Incident Response | 🔄 Medium‑High, policy creation & enforcement | ⚡ High, governance teams, exercises | 📊 High, consistent security posture & readiness (⭐️⭐️⭐️⭐️) | 💡 Enterprise programs, MSPs, compliance regimes | ⭐ Clarifies responsibilities; improves incident handling |
Turn the Roundup Into an API Security Program
The strongest API security best practices are operational. They assign controls to people, pipelines, gateways, and response teams instead of treating security as a one-time architecture review. MSPs and MSSPs also need to apply those controls per client environment, because shared integrations can create shared blast radius when identity, tenant authorization, or logging is poorly separated.
Use this rollout sequence.
Immediate controls
Start with the controls that reduce exposure at the request boundary and protect credentials:
- Enforce HTTPS and modern TLS: Redirect or block plaintext traffic, manage certificates, and consider mTLS for controlled service-to-service connections.
- Define authentication and authorization: Use OAuth 2.0 or OpenID Connect where delegated identity is required, then enforce tenant-scoped object and function authorization on the server.
- Limit permissions: Create narrow scopes, restricted service accounts, and separate credentials for each client or integration.
- Validate schemas: Reject malformed input, unexpected fields, excessive payloads, and unsupported methods before processing.
- Protect secrets: Store credentials in a secrets manager, monitor use, rotate them through an overlap process, and revoke suspected exposures.
- Set limits: Apply endpoint-aware rate limits, quotas, payload controls, and safe retry guidance.
- Centralize edge controls: Use an API gateway and WAF for consistent authentication, routing, inspection, and logging.
A 2026 API attacks report described organizations averaging 3,000 APIs containing sensitive data, with 12% showing security weaknesses and 24% of issues tied to sensitive data exposure (Traceable's API security report). That finding makes inventory and data-flow visibility immediate priorities, not documentation exercises.
Delivery-stage checks
Add API security to design and release workflows. Run threat modeling for new endpoints and changes to object access, business workflows, sensitive data, or partner integrations. Run SAST during pull requests, DAST against deployed test APIs, and IAST when runtime context is needed.
Keep negative tests for expired tokens, unauthorized tenants, malformed inputs, excessive fields, and sequence abuse. Map each finding to an OWASP risk, an owner, a remediation deadline, and a regression test. Preserve evidence so security reviews and client assurance requests don't depend on memory.
Ongoing operations
Maintain an accurate inventory with owners, environments, versions, consumers, data classification, and exposure status. Monitor authentication failures, authorization denials, rate-limit violations, unusual workflows, sensitive exports, and access from unexpected contexts. Correlate API telemetry with vulnerability findings, threat intelligence, and exposed credential alerts.
Review deprecated versions and unused routes regularly. Rehearse the response playbook, including credential revocation, tenant isolation, evidence collection, partner communication, and recovery validation. A 2026 report found that 61% of API attacks involved unauthorized workflows and abnormal activity, reinforcing why monitoring must cover behavior and business logic, not only known attack signatures (the Traceable API security report). InsecureWeb can fit into this operating model by connecting threat intelligence, vulnerability scanning, monitoring, and related security workflows through API access under appropriate permissions.
InsecureWeb provides threat intelligence, vulnerability scanning, dark web monitoring, and API access for connecting security data to existing SIEM, XDR, and MSP workflows. Review how InsecureWeb can help you bring those signals into a permissioned API security and incident response program.