Comparison

SecPortal vs Traceable AI
AI-powered runtime API security platform vs delivery workspace

Traceable AI (acquired by Harness in late 2024 and now positioned inside the Harness AI-Native Software Delivery Platform) is an AI-driven API security platform that anchors on continuous discovery, posture management, business-logic abuse detection, and runtime protection across the observed API estate. The platform ingests API traffic from gateways, ingress controllers, load balancers, service meshes, and cloud provider mirroring (AWS, Azure, GCP) through deployed agents, language-specific instrumentation, or out-of-band collection, builds a continuous catalogue of every running endpoint, baselines per-user and per-endpoint behaviour through machine learning models, and surfaces business-logic abuse, broken object-level authorisation, account takeover, sensitive-data exposure, and OWASP API Security Top 10 patterns. The platform combines API Discovery (continuous endpoint inventory from observed traffic and OpenAPI schema reconciliation), API Security Posture Management (shadow, zombie, deprecated, sensitive-data, and unauthenticated endpoint detection), API Threat Protection (AI-driven behavioural detection across long observation windows with per-user attribution), and Application Security Testing (pre-production API testing against an OpenAPI spec). The buyer is typically an enterprise internal security team, product security team, or AppSec team with a large production API estate. SecPortal is a different shape: scoped engagements, scanning, manual finding entry, AI report generation, branded client portal, and the engagement record live inside one workspace. This page is the side-by-side for buyers comparing an AI-powered runtime API security platform to a delivery workspace that scans, reports, and delivers on its own.

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Feature	SecPortal	Traceable AI
Primary use case	Security delivery workspace with scanning, findings, AI reports, branded client portal, and engagement record on one tenant	Standalone AI-powered API security platform with continuous endpoint discovery from observed traffic, per-user and per-endpoint behavioural analytics through machine learning models, API posture management, business-logic abuse detection, and pre-production Application Security Testing against an OpenAPI spec, sold inside the Harness AI-Native Software Delivery Platform
Engagement model with scope, ROE, and deliverables		Continuous AI-driven API discovery, posture, and threat detection programme against the observed API estate rather than scoped engagement with a kickoff and a deliverable
Client model with onboarding, contacts, and access control		Internal user roles inside the Traceable (Harness) console; no external client onboarding model with white-label brand isolation
Branded white-label client portal on a tenant subdomain
Built-in external vulnerability scanning (16 modules: SSL, headers, DNS, ports, subdomains, technology fingerprinting, CVE correlation)
Authenticated web application scanning (DAST, 17 modules)		API testing through the Application Security Testing module runs spec-driven scans against discovered endpoints rather than full authenticated web application DAST
Code scanning (SAST and SCA via Semgrep)
Subdomain enumeration and external attack surface discovery		API-surface discovery from observed traffic, instrumented service maps, and OpenAPI schema reconciliation rather than DNS, subdomain, and external-asset enumeration
AI-driven per-user and per-endpoint behavioural analytics on observed traffic		Core mechanic; Traceable runs machine learning models against observed API traffic with per-user attribution across long observation windows
Continuous API endpoint discovery from observed traffic		Core mechanic; the discovery module continuously catalogues every running endpoint observed in traffic, including shadow, zombie, deprecated, and undocumented endpoints
API security posture management (shadow, zombie, deprecated, sensitive-data, unauthenticated endpoint detection)		Core mechanic; the posture management module flags drift between the documented API spec and the observed running surface, sensitive-data exposure, and unauthenticated endpoints
Business-logic abuse detection across long observation windows (BOLA reconnaissance, account takeover, scraping, credential stuffing)		Core mechanic; the threat protection module correlates per-consumer and per-user behaviour across long observation windows using machine learning models rather than per-request signature matching
Application Security Testing against OpenAPI specification before production	Authenticated DAST against API endpoints on verified domains; no automatic spec-driven pre-production test rotation	Core mechanic; the Application Security Testing module drives spec-derived pre-production API tests from an OpenAPI document and validates running endpoints against the schema
Bundling with broader Harness Software Delivery Platform (CI/CD, Feature Flags, Security Testing Orchestration)		Bundled commercial option after the Harness acquisition; API security is sold alongside the broader software delivery toolchain through the same account team
Manual finding entry with full editor		Findings originate from AI-driven runtime detection over observed traffic, posture management, and Application Security Testing rather than from operator-authored manual entry inside the workspace
AI-powered narrative report generation (executive, technical, remediation)		Console dashboards, posture scorecards, per-endpoint risk views, user behaviour analytics, and runtime detection summaries rather than engagement-shaped executive, technical, and remediation deliverables under the customer brand
300+ finding templates with remediation guidance		Vendor-curated detection content with per-pattern remediation guidance and OWASP API Security Top 10 mapping
CVSS 3.1 vector parsing and auto-scoring		Severity normalised through the Traceable risk model rather than per-finding CVSS vector entry
Scanner result import (Nessus, Burp Suite, CSV)		Traceable-native discovery, behavioural analytics, and Application Security Testing are the primary intake paths rather than third-party scanner ingestion through customer-managed import
Encrypted credential vault for authenticated scans (AES-256-GCM)		Authentication is observed from production traffic patterns rather than configured through stored credentials
OpenAPI schema reconciliation against observed running surface	Authenticated DAST against API endpoints on verified domains; no automatic schema reconciliation against observed traffic	Core mechanic; documented OpenAPI specs are reconciled against the observed running API surface to surface schema drift and undocumented endpoints
Retest workflow paired to original finding		Closure validation runs through the next runtime detection cycle or the next posture management sweep against the observed traffic rather than a tester-driven retest paired to the original record under the customer brand
Exception register with eight-field decision chain		Per-detection suppression and tuning workflow scoped to the behavioural pattern or per-endpoint context rather than an engagement-shaped per-finding decision chain
Compliance framework templates	21 frameworks including OWASP, OWASP ASVS, OWASP MASVS, OWASP API Security Top 10, ISO 27001, SOC 2, PCI DSS, NIST 800-53, NIST 800-171, FedRAMP, MITRE ATT&CK, DORA, NIS2, CIS Controls, and Essential Eight	Per-finding categorisation against OWASP API Security Top 10 with mapping to PCI DSS, HIPAA, SOC 2, GDPR, and ISO 27001 derived from the API estate inventory and posture output
Continuous scheduled scanning cadence (daily, weekly, biweekly, monthly)		Continuous observation of API traffic is always on through deployed agents and collectors; posture and discovery refresh on continuous cycles rather than configurable workspace schedules
Scan-to-scan diff and change-event generation across scheduled runs		API surface change, drift, and posture-state views derived from continuous traffic observation rather than scan-output diffs
Integrated invoicing and Stripe Connect payments for engagements
Activity audit trail with CSV export		Platform audit logs inside the Traceable (Harness) tenant
MFA enforcement on every workspace		SSO and IdP-driven controls inside the customer tenant
Free plan available		Sales-led commercial pricing rather than a published free tier
Pricing model	Free, Pro, Team	Sales-led with annual commitment, priced on API traffic volume (call count or per-month bands), instrumented services or deployed collectors, discovered endpoint count, and bundled modules across Discovery, Posture Management, Threat Protection, and Application Security Testing; often bundled with the broader Harness Software Delivery Platform
Setup time	2 minutes	Named account onboarding, agent and collector deployment across AWS, Azure, GCP, Kubernetes, NGINX, Envoy, Kong, or service mesh environments, language-specific runtime instrumentation, baseline traffic observation window, ML model calibration, and Application Security Testing rule tuning over a multi-week ramp
Best fit for	AppSec teams, internal security teams, vulnerability management teams, product security teams, pentest firms, MSSPs, and consultancies that want scanning, findings, AI reports, branded portal, and the engagement record on one workspace	Enterprise internal security, product security, and AppSec teams with a large production API estate behind a gateway, ingress controller, load balancer, or service mesh that want vendor-supplied AI-powered runtime API security, continuous endpoint discovery, posture management, business-logic abuse detection, and pre-production Application Security Testing, often bundled inside the broader Harness Software Delivery Platform

SecPortal vs Traceable AI: AI-powered runtime API security platform vs delivery workspace

Traceable AI (acquired by Harness in late 2024 and now positioned inside the Harness AI-Native Software Delivery Platform) is an AI-driven API security platform. The platform ingests API traffic from gateways, ingress controllers, load balancers, service meshes, and cloud provider mirroring (AWS, Azure, GCP) through deployed agents, language-specific instrumentation, or out-of-band traffic collection, builds a continuous catalogue of every running endpoint, baselines per-user and per-endpoint behaviour through machine learning models, and surfaces business-logic abuse, broken object-level authorisation reconnaissance, account takeover patterns, sensitive-data exposure, and OWASP API Security Top 10 abuse against observed traffic. The platform combines API Discovery (continuous endpoint inventory from observed traffic and OpenAPI schema reconciliation), API Security Posture Management (shadow, zombie, deprecated, sensitive-data, and unauthenticated endpoint detection), API Threat Protection (AI-driven behavioural detection across long observation windows with per-user attribution), and Application Security Testing (pre-production API testing against an OpenAPI spec). After the Harness acquisition the platform is increasingly bundled with the broader Harness Software Delivery Platform. The buyer is typically an enterprise internal security team, product security team, or AppSec team with a large production API estate.

SecPortal is a different shape. SecPortal is the security delivery and findings workspace for AppSec teams, product security teams, vulnerability management teams, internal security teams, penetration testing firms, MSSPs, and consultancies that run scoped engagements and ship findings to application owners, business unit stakeholders, auditors, or external clients. The engagement, the scoping, the manual and scanner findings, the AI-drafted report, the branded client portal, the retest, and the invoice all sit inside one workspace. If the buying question is whether to license an AI-powered runtime API security platform on observed traffic or run a delivery workspace that holds scoped engagements and ships deliverables, this page is the side-by-side.

Where the AI-powered runtime API security model stops for delivery work

These are not Traceable-specific criticisms; they are properties of an AI-powered runtime API security platform when the buyer compares it to a delivery workspace that holds scoped engagements, ships engagement-shaped reports, and runs under the security team brand.

Built around AI-powered runtime API security on observed traffic, not a scoped delivery workspace

Traceable AI (acquired by Harness in late 2024 and now positioned inside the Harness AI-Native Software Delivery Platform) is an AI-driven API security platform that anchors on continuous discovery, posture management, business-logic abuse detection, and runtime protection across the observed API estate. The platform ingests API traffic from API gateways, ingress controllers, load balancers, service meshes, and cloud provider mirroring (AWS, Azure, GCP) through deployed agents, language-specific instrumentation, or out-of-band traffic collection, builds a continuous catalogue of every endpoint observed in traffic, baselines per-user and per-endpoint behaviour through machine learning models, surfaces business-logic abuse, broken object-level authorisation, account takeover, sensitive-data exposure, and OWASP API Security Top 10 patterns, and offers pre-production API testing against an OpenAPI specification through its Application Security Testing module. The buyer assumption is an enterprise internal security, product security, or AppSec team with a large production API estate behind a gateway, ingress controller, load balancer, or service mesh that wants AI-driven behavioural detection and vendor-managed runtime API security. SecPortal is a different shape: a security delivery and remediation workspace that runs its own external, authenticated, and code scanning, holds the engagement record (scope, kickoff, deliverable, retest, closure), accepts manual finding entry from the workspace team, drafts AI reports, and ships the deliverable through a branded portal on a tenant subdomain.

No engagement-shaped scope, deliverable, or closure record

Traceable is organised around deployed agents and collectors, the observed API estate, the continuous endpoint catalogue, the user behaviour models, the posture feed, the runtime detection stream, and the Application Security Testing module that runs against an OpenAPI spec. There is no concept of a scoped engagement that opens with a kickoff, runs against a defined target list and timebox, ships a signed-off final report under a stakeholder name, schedules a tester-driven retest paired to an original finding, and closes with an invoice. Teams that need to deliver a scoped API security review, a pentest, a one-off vulnerability assessment, an AppSec review, or a compliance-driven engagement on top of AI-powered runtime detection have to model that lifecycle outside the Traceable (Harness) console.

No branded client portal on your own subdomain

Traceable posture views, user behaviour analytics, runtime detection events, discovered endpoints, drift events, and Application Security Testing output are reviewed inside the Traceable (Harness) console. The console serves the security team operating the platform and the engineering team that owns the API gateway. There is no white-label tenant subdomain a security team can hand to an external client, a downstream application owner, a business unit stakeholder, a regulator, or an auditor under their own brand. SecPortal serves a branded client portal on the tenant subdomain so every finding, retest, remediation thread, and report download lives under your name rather than under a vendor name. That matters whenever the API security output goes to a recipient who is reading a deliverable, not operating a runtime API security product.

No AI-drafted engagement-shaped narrative reports

Traceable surfaces console dashboards, posture scorecards, per-endpoint risk views, user behaviour analytics, runtime detection summaries, and Application Security Testing run output. It does not draft engagement-shaped executive summaries, narrative technical writeups, or remediation roadmaps from a scoped finding set on demand. SecPortal uses Claude to draft executive, technical, and remediation deliverables from the live engagement findings, including CVSS vectors, evidence, severity, asset context, and proof-of-exploit details, so the team edits a draft rather than starting from a blank page.

No code scanning or external attack surface scanning inside the same workspace

Traceable covers the running API surface (observed traffic, discovered endpoints, posture drift, user behaviour analytics, runtime detection) and reconciles the observed surface against the documented OpenAPI spec through the Application Security Testing module. After the Harness acquisition the broader Harness platform offers separate STO (Security Testing Orchestration) and CCM (Cloud Cost Management) modules, but the in-product behaviour of Traceable itself does not run SAST or SCA against connected source repositories alongside the runtime API analysis, and it does not run external scanning across SSL, headers, DNS, ports, subdomains, technology fingerprinting, or CVE correlation as part of the same workspace. Programmes that combine AI-powered API runtime analysis with secure code review, supply-chain dependency analysis, or external attack-surface scanning stitch the code-side and infrastructure-side output together through separate modules or tools. SecPortal runs SAST and dependency analysis through Semgrep against repositories connected via GitHub, GitLab, or Bitbucket OAuth, runs external scanning across 16 modules on verified domains, and runs authenticated DAST across 17 modules behind stored credentials so the code-side, external, and application-layer findings sit on the same engagement record alongside any imported runtime detection events.

Sales-led pricing tied to API traffic volume, instrumented services, and bundled modules

Traceable (Harness) pricing is sales-led and is typically licensed against API traffic volume (call count or per-month bands), the number of instrumented services or deployed collectors, the discovered API endpoint count, and the bundled modules (API Discovery, API Security Posture Management, API Threat Protection, Application Security Testing). Annual commitment, named-account onboarding, agent and collector deployment across AWS, Azure, GCP, Kubernetes, NGINX, Envoy, Kong, or service mesh environments, language-specific runtime instrumentation, baseline traffic observation window, and ML model calibration are standard. After the Harness acquisition the platform is increasingly bundled with broader Harness Software Delivery Platform modules, which folds AI-powered runtime API security into a wider DevOps and software delivery commercial cycle. SecPortal pricing is published on the website with a free plan, monthly Pro and Team tiers, and no annual contract floor for the Pro and Team tiers; new workspaces can sign up and run a scan inside two minutes.

AI-powered runtime API security vs delivery workspace as buyer shapes

The honest framing is that the two models solve adjacent problems for different buyer shapes. Saying one is universally better than the other misses the underlying buying decision the security team is making.

An AI-powered runtime API security platform is built around observed traffic, user behaviour models, and the API runtime plane

Traceable AI (now Harness API Security) and adjacent AI-anchored API security platforms (Salt Security, Wallarm, Noname/Akamai API Security, 42Crunch) start from the assumption that the buyer has a live production API estate behind a gateway, ingress controller, load balancer, or service mesh, and wants vendor-supplied AI-driven behavioural detection, continuous endpoint discovery, per-user behaviour analytics, posture management, business-logic abuse detection, and OWASP API Security Top 10 coverage from observed traffic patterns. The economic value is detecting business-logic abuse, low-and-slow account takeover, credential stuffing, broken object-level authorisation reconnaissance, sensitive-data exposure, and shadow or zombie endpoints across long observation windows that a per-request signature scan cannot see, plus pre-production Application Security Testing against an OpenAPI spec before the endpoint goes live.

A delivery workspace is built around the engagement record and the deliverable

SecPortal does not assume that a vendor-managed AI-powered runtime API security plane is the right shape for every security testing programme. The workspace runs its own external, authenticated, and code scanning, holds the finding record, supports manual entry from a tester or reviewer, calibrates severity through CVSS 3.1 with environmental adjustment, and ships the deliverable through a branded portal on a tenant subdomain. The same record holds for a scoped pentest, a continuous vulnerability assessment, an AppSec code review, a cloud security assessment, an API security review, and a compliance-driven engagement. The finding lives where the work is delivered, not in a behavioural detection feed that ends at the agent or collector boundary.

The right answer depends on whether the buyer is observing API behaviour at runtime with AI models or shipping security testing deliverables

If the internal security or product security team has a large production API estate behind a gateway, an engineering team that ships through that gateway, traffic that can be observed by a Traceable agent or collector, and a budget shape that fits a runtime AI-driven detection and posture management programme priced on traffic volume, instrumented services, and endpoint count, an AI-powered runtime API security platform like Traceable (Harness) is the right shape. If the team is shipping engagement deliverables to application owners, external clients, business unit stakeholders, regulators, or auditors and the buyer wants the scanner, the manual finding entry, the AI report, the branded portal, the invoice, and the retest on one workspace without licensing runtime API security on observed traffic, a delivery workspace like SecPortal is the right shape. Both can be true: many enterprise teams run a runtime API security platform on observed traffic and a delivery workspace for scoped engagement output side by side.

Who each platform is the right fit for

Buyer fit is the operating question, not feature parity. The right platform depends on whether the security team is paying for AI-driven runtime API observation on traffic or shipping engagement deliverables on a delivery workspace.

Traceable AI (Harness API Security) fits enterprise teams running AI-driven runtime API security on a large production API estate

If you are an enterprise internal security, product security, or AppSec team with a large production API estate behind a gateway, ingress controller, load balancer, or service mesh, traffic that can be observed through agents or collectors across AWS, Azure, GCP, Kubernetes, NGINX, Envoy, Kong, or service mesh environments, and a budget that fits a vendor-managed AI-powered runtime API security programme priced on API traffic volume, instrumented services, and endpoint count, Traceable (Harness) was built for that shape. The buyer is paying for the combination of continuous endpoint discovery from observed traffic, AI-driven per-user behaviour analytics, API posture management (shadow, zombie, deprecated, sensitive-data, and unauthenticated endpoint detection), behavioural runtime protection against business-logic abuse across long observation windows, and pre-production Application Security Testing against an OpenAPI spec, with bundling options through the broader Harness Software Delivery Platform.

SecPortal fits teams shipping engagement deliverables on a delivery workspace

If you are an AppSec team, a product security team, a vulnerability management team, an internal security team, a penetration testing firm, an MSSP, or a consultancy that wants the scanner, the engagement record, the manual finding entry, the AI report, the branded portal, the invoice, and the retest all on one tenant, SecPortal carries that lifecycle without forcing the team to license a runtime API security platform or deploy agents into the application path before the first deliverable lands. The same workspace serves an internal team shipping reports to application owners and a firm shipping reports to external clients.

SecPortal fits buyers who want the deliverable, the brand, and the engagement record on one workspace

If the API security testing output is read by an application owner, a business unit stakeholder, an auditor, a regulator, or an external client, and every finding, retest, remediation thread, and report download has to live under your brand rather than under an API security vendor brand, SecPortal is the workspace that holds the record. Findings can still be imported from Nessus, Burp Suite, or CSV when an AI-powered runtime API security platform such as Traceable (Harness) sits next to SecPortal as the runtime observation layer. The same record holds for an internal team that wants the deliverable shape (executive summary, technical writeup, remediation roadmap, retest closure pack) without running runtime API security from inside the same console.

What changes for buyers after the Harness acquisition

The Harness acquisition of Traceable AI was announced in late 2024 and the platform is now positioned inside the Harness AI-Native Software Delivery Platform. Three practical shifts matter when buyers compare the platform against a delivery workspace.

Bundling with the Harness Software Delivery Platform

API security is increasingly sold alongside Harness CI/CD, Feature Flags, Security Testing Orchestration, and the broader software delivery pipeline. Buyers comparing standalone API security platforms now also have to evaluate platform bundling commercial terms, vendor concentration across the software delivery toolchain, and the operational handover between the security team and the platform engineering team that owns the Harness contract.

Enterprise account team commercial cycle

Buying through the Harness account team brings the renewal-and-uplift cycle that comes with a broader software delivery vendor. Call-volume, instrumented-service, and endpoint-count measurement become contract levers, and the security team often has to coordinate the renewal posture with whichever internal team owns the broader Harness contract.

Independence of the engagement record from the software delivery platform

SecPortal sits independent of the AI-powered runtime API security plane and the broader software delivery platform. The engagement record, the scanner stack, the manual finding entry, the AI report, the exception register, the retest workflow, and the branded client portal stay on a workspace the team operates, so a change of runtime API security vendor or software delivery platform vendor does not move the security delivery record.

Pricing comparison

SecPortal publishes pricing on the website. Traceable AI (Harness API Security) pricing is sales-led and tied to API traffic volume, instrumented services or deployed collectors, discovered endpoint count, and the bundled module set, often packaged with the broader Harness Software Delivery Platform. The tiers below are illustrative of the buying shape rather than a direct per-feature equivalence.

SecPortal Free

Free forever

1 user, 3 clients, 2 engagements per client, 3 AI credits, 6 core scan modules.

SecPortal Pro

$149 per month

Unlimited clients and engagements, AI reports, full external scanner suite, authenticated scanning, code scanning, retesting workflow, and branded client portal.

SecPortal Team

$299 per month

Everything in Pro plus team management, RBAC, invoicing, continuous monitoring schedules, scan diff, and additional AI credits.

Traceable AI (Harness API Security)

Sales-led pricing

Annual commitment priced on API traffic volume (call count or per-month bands), instrumented services or deployed collectors, discovered endpoint count, and bundled modules across API Discovery, API Security Posture Management, API Threat Protection, and Application Security Testing, often bundled with the broader Harness Software Delivery Platform.

Why teams pick SecPortal alongside or instead of Traceable AI

Move from an AI-powered runtime API security platform priced on traffic volume, instrumented services, and endpoint count to a workspace that holds engagements, findings, AI reports, retests, and a branded portal on one record
Generate executive summaries, technical writeups, and remediation roadmaps from engagement findings rather than exporting posture dashboards, user behaviour analytics, and runtime detection summaries into a separate reporting tool
Hand application owners, external clients, regulators, or auditors a branded portal on your subdomain instead of access to a vendor-operated runtime API security console
Bring external scanning, authenticated DAST, and code scanning into the same workspace as the engagement record instead of pairing runtime API observation with separate scanners and a separate reporting layer
Capture manual API findings (broken object-level authorisation walkthroughs, business-logic chains, mass-assignment proofs, JWT misconfiguration evidence, hardcoded credential traces in the spec) alongside scanner output rather than translating them into a runtime detection rule on observed traffic
Pair every retest to the original finding so the closure record holds up under audit rather than relying on the next runtime detection cycle or posture sweep to confirm the fix
Map findings across 21 frameworks including OWASP, OWASP ASVS, OWASP MASVS, OWASP API Security Top 10, ISO 27001, SOC 2, PCI DSS, NIST 800-53, NIST CSF 2.0, MITRE ATT&CK, DORA, NIS2, CIS Controls, and Essential Eight from one workspace
Bill the engagement from the same platform with Stripe Connect rather than handling runtime API security licensing in a separate sales cycle through the Harness account team
Avoid Harness-platform bundling lock-in by keeping the engagement record, scanner stack, manual finding entry, AI report, and branded portal independent of the broader software delivery platform
Start on a free plan and pay for the seats and storage you actually use rather than committing to a sales-led annual programme priced on traffic, instrumented services, and endpoints
Run SecPortal alongside Traceable (Harness) when AI-powered runtime API security on observed traffic sits next to scoped engagement delivery to application owners, auditors, or external clients

How SecPortal scanning compares to the Traceable model

SecPortal scanning is operator-driven and active rather than traffic-mediated and AI-modelled. The same workspace runs the external scan, the authenticated DAST scan, and the code scan, then surfaces the findings on the engagement record the operator owns. Traceable observes traffic through agents, instrumentation, or collectors, catalogues the running API surface, baselines per-user and per-endpoint behaviour through machine learning models, runs Application Security Testing against an OpenAPI spec, and flags drift, abuse, business-logic violations, and OWASP API Security Top 10 patterns from observation rather than from active probes the operator configures. The trade is AI-driven behavioural detection across long observation windows on observed traffic against operator control of the testing surface and the deliverable.

The external scanning feature runs 16 modules across SSL, headers, DNS, ports, subdomains, technology fingerprinting, and CVE correlation. The authenticated scanning feature adds DAST behind stored credentials through cookie, bearer, basic, or form authentication so issues that only surface inside an authenticated session do not slip past anonymous scanning. The code scanning feature runs SAST and dependency analysis through Semgrep against a repository connected via GitHub, GitLab, or Bitbucket OAuth. The continuous monitoring feature runs daily, weekly, biweekly, or monthly scans on a schedule and writes the results back to the same engagement record.

How credentials and authorisation are handled before any scan runs

Authenticated scanning needs credentials to live somewhere durable, and external scanning needs proof of target ownership before any module fires. SecPortal stores credentials in an encrypted credential vault with AES-256-GCM, scoped to a verified domain. Every external scan is gated on domain verification through DNS TXT or meta tag, and the scan-guard codes (DOMAIN_NOT_VERIFIED, CREDENTIAL_DOMAIN_MISMATCH, AUTH_NOT_ALLOWED) refuse to run when the chain of evidence does not hold. The authorisation discipline lives in the workspace rather than inside a vendor-managed runtime API security service.

From scan to deliverable

The output of a scan is the beginning of a deliverable, not the end. SecPortal turns scan results into draft findings, the operator triages and validates them, the findings management layer holds the consolidated record with CVSS vectors, evidence, and remediation, and the AI reports feature generates the executive and technical narrative the recipient receives. The branded client portal is where the deliverable lands; the API security testing workflow covers how authenticated DAST output, manual API findings, and spec-driven proofs come together on one engagement, and the API security posture assessment workflow covers how shadow, zombie, deprecated, and unauthenticated API endpoints surfaced by runtime observation are picked up as engagement findings, evidenced, and tracked to remediation.

For enterprise internal security and product security teams that want to run a Traceable (Harness) deployment for AI-powered runtime API security on observed traffic and a SecPortal workspace for engagement delivery in parallel, the remediation tracking workflow and the security testing programme management workflow cover how findings from multiple sources move from intake to closure with named owners, SLA tiers, and an audit trail. The importing third-party scanner results guide documents the verified Nessus, Burp Suite, and CSV import paths if the team wants to consolidate Traceable-derived runtime detection events and SecPortal native findings on the same engagement record.

How AI-driven runtime detection events translate into engagement findings

Runtime detection events from an AI-powered platform like Traceable describe observed-traffic behaviour scored by machine learning models (a sequence of credential-stuffing attempts attributed to a specific user across long observation windows, a business-logic abuse chain where a consumer sequenced calls in a way the user-behaviour model marks as anomalous, a broken object-level authorisation pattern where a consumer accessed objects outside the authorised set, an undocumented endpoint that drifted into production without a posture review, a sensitive-data exposure flagged by posture management, an Application Security Testing run failing a spec rule). Promoting those events to engagement findings is the operator workflow on the SecPortal side: the AppSec or product security operator reviews the runtime detection or posture event, reproduces the underlying vulnerability against the application, writes the finding with reproduction steps and a CVSS vector through the findings management layer, and routes it to the engineering owner through the ownership and routing workflow. The runtime detection captures that abuse or drift was observed on the wire; the engagement finding captures the underlying defect that has to be fixed in code, configuration, or API gateway policy.

Honest scope: what SecPortal does not do

SecPortal is a security testing and delivery workspace. It is not an AI-powered runtime API security platform, not an API discovery engine on observed traffic, not a posture management product, not a user-behaviour analytics engine, and not an API gateway. The capabilities below are intentionally out of scope so the buyer can read the comparison accurately.

SecPortal does not ingest API traffic from API gateways, ingress controllers, load balancers, service meshes, or cloud traffic mirroring (AWS, Azure, GCP) and does not run AI-driven behavioural analysis on observed production traffic through deployed agents, language-specific instrumentation, or out-of-band collectors.
SecPortal does not run a continuous API Discovery layer that catalogues every running endpoint from observed traffic and reconciles the running surface against the documented OpenAPI spec; the workspace relies on operator-defined scope and authenticated scanning against verified domains.
SecPortal does not provide API Security Posture Management with shadow, zombie, deprecated, sensitive-data, and unauthenticated endpoint detection across the observed estate.
SecPortal does not run machine-learning per-user and per-endpoint behavioural models, business-logic abuse detection, account-takeover analytics, or low-and-slow credential-stuffing detection across long observation windows on observed production API traffic.
SecPortal does not run an Application Security Testing module that drives spec-derived pre-production API tests from an OpenAPI document against the running surface and validates the running endpoints against the documented schema.
SecPortal does not act as an API gateway, an inline runtime protection plane, or bundle with the broader Harness Software Delivery Platform for CI/CD, feature flag management, or pipeline-level Security Testing Orchestration.
SecPortal does not ship packaged push connectors into Jira, ServiceNow, Slack, Teams, PagerDuty, SIEM, SOAR, WAF, GRC, CMDB, or API gateway management planes; integration into those systems is the workspace consumer responsibility, not a managed offering.
SecPortal does not provide enterprise SSO, SCIM provisioning, or SAML federation; workspace authentication uses email and password with mandatory MFA via TOTP.
SecPortal does not provide automated approval routing for deferred API findings or risk-based escalation against an asset criticality engine; the eight-field exception register and CVSS environmental adjustment carry the per-finding decision chain inside the workspace.

Adjacent comparisons

If the evaluation is between Traceable AI and other API security platforms, web application security testing tools, runtime protection products, or DAST-anchored scanners, the comparisons below cover the same buying decision from different angles.

SecPortal vs Salt Security for the behavioural API security platform comparison anchored on out-of-band analysis of mirrored production traffic, continuous endpoint discovery, and API posture governance.
SecPortal vs Noname Security for the post-acquisition Akamai API Security comparison covering Discovery, Posture Management, Runtime Protection, and Active Testing bundled with Akamai App and API Protector.
SecPortal vs Wallarm for the inline runtime API protection comparison with deployed protection nodes inspecting traffic on the wire.
SecPortal vs Escape for the AI-powered offensive security platform comparison covering Attack Surface Management, Business-Logic-Aware DAST, and AI Pentesting on the API and application surface.
SecPortal vs StackHawk for the developer-first CI-pipeline DAST comparison driven by an OpenAPI, Postman, GraphQL, or HAR specification.
SecPortal vs Probely for the managed SaaS DAST scan engine comparison covering authenticated crawls and spec-driven API testing.
SecPortal vs Acunetix for the dedicated web and API vulnerability scanner comparison.
SecPortal vs Invicti for the DAST-anchored web application scanning comparison.
SecPortal vs Burp Suite for the manual application and API security testing tool comparison.
SecPortal vs Detectify for the external attack surface monitoring comparison.
SecPortal vs Checkmarx for the enterprise AppSec portfolio comparison including Checkmarx API Security.
SecPortal vs Veracode for the enterprise AppSec platform comparison.
SecPortal vs Apiiro for the code-to-runtime ASPM comparison that correlates findings against the application risk graph above an existing scanner stack.
SecPortal vs Snyk for the developer-first AppSec platform comparison.
SecPortal vs Rapid7 for the InsightVM and InsightAppSec internal SecOps comparison.
SecPortal vs Tenable.io for the enterprise exposure management comparison.

When the work is scoped engagement delivery, native scanning, and AI reporting on a workspace your team operates, not vendor-supplied AI-powered runtime API security on observed production traffic

Run scoped AppSec, pentest, vulnerability management, and API security engagements, generate AI reports, and ship findings through a branded portal on one workspace. SAST plus dependency analysis plus DAST plus external scanning live on the same engagement record alongside manual finding entry, the exception register, the retest workflow, and the activity audit trail. Pair alongside a Traceable AI (Harness API Security) deployment when AI-powered runtime API discovery, posture management, and threat detection on observed traffic sits next to scoped engagement delivery for application owners, auditors, or external clients. Start free.