Gateplex vs Strix

Gateplex and Strix are both guardrails & safety tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Gateplex

Gateplex is governance middleware: it does not run your agents, it watches them. The vendor describes it as a policy enforcement layer that intercepts agent actions — API calls, approvals, data sends — checks them against defined rules, and blocks or flags violations before execution completes. That distinction matters for regulated environments where post-hoc logging is not enough. The free tier covers three agents and a capped intercept volume per month, which fits a proof-of-concept but runs short the moment a second team deploys. Beyond that ceiling, teams move to a paid tier or hit a wall.

Strix

Strix runs multi-agent Think-Plan-Act loops that scan infrastructure, attempt exploitation, and return findings backed by working PoCs — so your team reviews confirmed vulnerabilities rather than triaging noise. The vendor page describes CI/CD integration and PR-level fix suggestions, which means security gates can live inside the same pipeline where code ships. Self-hosted and air-gapped deployment options are confirmed, making it viable for teams with data residency requirements. The agentic model works well when scope is defined and targets are enumerable — cloud misconfigs, known CVE classes, API surface. Where it strains is against novel logic flaws and business-layer vulnerabilities that require context no automated agent carries.

Attribute	Gateplex	Strix
Pricing	Paid	Paid
Price	$199/month	—
Free trial	No	No
Open source	No	Yes
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Cloud-based middleware; integrates with agent frameworks on any platform running OpenAI, Anthropic, LangChain, CrewAI, AutoGen, Vertex AI, or AWS Bedrock	CLI (Docker, bash install), self-hosted, web platform
Pros	Real-time action interception before execution completes, which means a procurement agent cannot approve an out-of-policy spend and then get flagged about it afterward — the action is stopped in the moment. PII detection at the intercept layer, so customer data does not reach a third-party API before a policy check has cleared it — without this, a misconfigured agent integration becomes a data leak that logging discovers too late. Duplicate transaction detection for financial agents, which prevents a refund or payment from issuing twice due to a retry loop or race condition — the kind of error that is trivial to miss and expensive to reverse. Audit trail output formatted for legal and compliance review rather than raw telemetry, so the evidence package a regulator or procurement committee requests does not require a data engineering sprint to produce. API access to the enforcement layer, which means policy rules can be managed programmatically and integrated into existing deployment pipelines rather than configured only through a UI.	Autonomous agents return findings with working proof-of-concept exploits attached, so your team skips the manual reproduction step that typically consumes days between scan and fix. Multi-agent Think-Plan-Act architecture executes attack sequences without human steering at each step, which means a single security engineer can run coverage across an infrastructure that would otherwise require a full red team. CI/CD pipeline integration with PR-level fix suggestions keeps security findings inside the developer workflow, so vulnerabilities surface at the same moment code changes ship rather than weeks later in a quarterly report. Self-hosted and air-gapped deployment is confirmed by the vendor, which means teams with data residency requirements or classified environments can run the full agent stack without sending target data to an external service. Open-source codebase allows security teams to audit exactly what the agents execute, which means you are not trusting a black-box scanner on infrastructure you cannot afford to have probed incorrectly.
Cons	No self-hosted deployment option is documented — every agent action routed through Gateplex passes through vendor infrastructure. Teams with data residency requirements, air-gapped environments, or legal restrictions on externalizing sensitive financial or health data have no workaround: this is a hard architectural incompatibility, not a configuration problem, and those teams evaluate on-premises alternatives instead. The free tier caps at three agents and a fixed intercept volume per month. A team piloting with two agents clears that ceiling the moment a third team onboards or production traffic spikes — at which point the choice is a paid tier commitment or a freeze on agent expansion, and the evaluation timeline compresses. Gateplex enforces policy on agent actions but does not itself define what your agents should do — teams that want policy logic tightly coupled to agent orchestration (branching based on what a prior step returned, approval gates wired into the agent graph) end up maintaining Gateplex as a separate enforcement layer alongside their orchestration framework, which is two systems to debug when something breaks.	Agents operating within Think-Plan-Act loops depend on the target being within the enumerable attack surface the model understands — business logic vulnerabilities and multi-step application flows that require domain context produce no findings, and teams with that testing requirement add a manual penetration tester alongside the tool rather than replacing the workflow. Automated exploitation against production targets carries risk that misconfigured scope definitions translate directly into unintended impact; teams running Strix against live environments report needing explicit scope guardrails and staging-first policies before touching production, adding operational overhead the tool does not eliminate. When the primary gap is compliance-driven manual testing with a signed attestation from a human pentester, Strix's autonomous output does not satisfy the requirement regardless of finding quality — teams in those regulatory contexts switch to a managed DAST or manual pentest vendor for the compliance artifact and run Strix separately for continuous coverage.

Bottom line

Strix is open source; only Gateplex exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Gateplex and Strix?

Gateplex is Paid, while Strix is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Gateplex better than Strix?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.