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Splx AI earned respect for a full security lifecycle: red-team the app, harden system prompts from what you find, scan agentic workflows with Agentic Radar, and deploy runtime guardrails. After Zscaler acquired Splx, that depth still appeals. Some buyers also want hallucination and faithfulness tested in the same pass, and clearer answers about where the product is headed.
What is Splx AI?
Splx AI is an AI security platform that red-teams applications and hardens system prompts based on findings. It includes Agentic Radar for agentic workflow and tool-level vulnerabilities, runtime guardrails for production, and 25+ predefined and custom risk categories mapped to NIST AI RMF, OWASP, and the EU AI Act. Per our 2026 agent red teaming tools guide, Splx added multi-modal scenarios and CI/CD integration in 2025. Splx was acquired by Zscaler (per our 2026 guide).
What our guides highlight
- Red-teaming plus automatic remediation via system prompt hardening
- Agentic Radar for agentic workflow and tool-level vulnerabilities
- Runtime guardrails for production
- 25+ predefined and custom risk categories
- NIST AI RMF, OWASP, and EU AI Act compliance mapping
- Multi-modal scenarios and CI/CD integration (2025)
Why teams look elsewhere
Splx is built around security lifecycle coverage, from red teaming through hardening and runtime defense. Red-teaming plus automatic remediation via system prompt hardening is a practical path many teams want. Agentic Radar for agentic workflow and tool-level vulnerabilities, runtime guardrails, and 25+ risk categories with NIST AI RMF, OWASP, and EU AI Act mapping are genuine strengths. Multi-modal scenarios and CI/CD integration added in 2025 extend coverage for teams shipping agentic workflows in pipeline-native workflows.
Teams widen the search when quality testing belongs in the same scan as security. Hallucination, sycophancy, and faithfulness are less central in Splx's positioning in our guides. The Zscaler acquisition also raises roadmap and product continuity questions for some buyers. Multi-turn adaptive attack depth is less mature than specialized platforms in our matrix, there is no open-source core since acquisition, and European data and AI sovereignty is not part of the product posture in our comparison matrix.
How we evaluate tools
We apply the framework from our 2026 agent red teaming guide and 2025 comparison: security and quality tested together, agent and multi-turn coverage beyond model-only scans, and a path from findings to tasks, regression tests, and guardrails. We also weigh whether product and domain teams can participate, not only a security-led scanner. The notes below come from those guides and our matrix.
Why teams choose Giskard
Giskard is the stronger fit when security and quality need to run in the same scan rather than as separate products. Jailbreak resistance alongside hallucination and business-logic failures stay in one workflow, so teams do not split those concerns across tools. As a European company with EU data residency options in our 2026 comparison matrix, Giskard also addresses sovereignty questions that surface after vendor acquisitions.
Other alternatives
Lasso Security
3,000+ attack library across OWASP Top 10 with agentic application discovery and inventory. MCP server and tool-calling security scanning plus pre-attack reconnaissance. See Lasso Security alternatives.
Mindgard
Continuous automated red-teaming at scale with chained attack detection across enterprise workflows. Managed security services and expert consulting with OWASP-mapped compliance reporting. See Mindgard alternatives.
HiddenLayer
Unified platform spanning red-teaming, supply chain, runtime defense, and posture management. Patented adversarial research with one-click deployment and OWASP-mapped compliance reporting. See HiddenLayer alternatives.
Promptfoo
Strong CI/CD integration with fast PR feedback and AI-generated attacks tailored to the application. Active open-source community with early MCP vulnerability testing support. See Promptfoo alternatives.
When Splx AI still makes sense
- You want red-teaming plus automatic remediation via system prompt hardening
- Agentic Radar for agentic workflows and runtime guardrails fit your security lifecycle
- Multi-modal scenarios and CI/CD integration match how your team ships agentic workflows
- 25+ risk categories with NIST AI RMF, OWASP, and EU AI Act mapping fit compliance needs
When Giskard is the better fit
- You need security and quality tested together, not security alone
- Post-acquisition product continuity and roadmap clarity matter for procurement
- Multi-turn adaptive attacks are central to your threat model
- European data and AI sovereignty is a requirement
- Domain experts need to collaborate in Hub alongside security engineers
Bottom line
Giskard is the stronger fit when security and quality in one scan, or EU data residency, drives the decision. Splx still wins when a security-first red-team-to-hardening lifecycle with Agentic Radar, runtime guardrails, multi-modal scenarios, and CI/CD integration is the priority.
