CISO Tribune

Vendor comparison · 2 companies

Impart Security vs SplxAI

Impart Security sells programmable, deterministic Layer 7 protection across AI, applications and APIs. SplxAI, which uses the name SPLX, sells scalable red teaming, real-time threat protection, and automated AI compliance and governance for AI systems. CISO Tribune files both under AI firewalls and guardrails and AI model and agent security. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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  • Impart Security
  • SplxAI
Impart Security vs SplxAI: Products, Customers and Funding Compared
Impart SecurityImpart Security sells programmable, deterministic Layer 7 protection across AI, applications and APIs.impart.aiSplxAISplxAI, which uses the name SPLX, sells scalable red teaming, real-time threat protection, and automated AI compliance and governance for AI systems.splx.ai
What it sells
  • Agent Protection[3][10]Enforces application-specific policies on agent traffic and tool interactions.
  • API Security[5][8][10]Enforces controls based on how APIs behave across requests and sessions.
  • Runtime Defense Harness[10]Uses AI-assisted investigation to develop targeted virtual patches.
  • Agentic Radar[1][5]An open-source security scanner for agentic AI.
Categories
Headquarters
San Francisco, United StatesNot stated on its pages
Founded
Not stated on its pages2023[2]
Ownership and funding
Privately heldOwned by Zscaler since 2025[3]
Named customers
Not stated on its pagesNot stated on its pages
Recent news
Not stated on its pagesNot stated on its pages
G2 and Gartner Peer Insights
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
Who it fits
Impart describes protection that runs inside an organisation's existing ingress. The stated coverage spans AI, applications and APIs. Impart also describes integrating its protection into existing ingress and egress infrastructure, with policies and runtime state synchronized across distributed environments.From its own pages, the company sells mainly to enterprises, saying the platform is built for enterprise scalability. Its asset management messaging speaks to organisations that want visibility and control over the AI assets used in the organisation. Its runtime messaging addresses teams with AI systems in production. Its governance messaging speaks to teams working with global AI security frameworks and internal risk policies.
Last verified
September 27, 2026September 30, 2026

Where they overlap

  • Impart Security and SplxAI are both filed under AI firewalls and guardrails and AI model and agent security.

Where they differ, field by field

  • Impart Security's primary category is AI firewalls and guardrails; SplxAI's is AI model and agent security.
  • Impart Security is also filed under Bot and abuse management. SplxAI is also filed under AI governance and Static application security testing.
  • Impart Security lists Agent Protection, API Security and Runtime Defense Harness. SplxAI lists Agentic Radar.
  • Impart Security is headquartered in San Francisco, United States.
  • SplxAI was founded in 2023.
  • Impart Security is privately held. SplxAI is owned by Zscaler, since 2025.

What it sells: Impart Security

What Agent Protection does[3][10]
Agent Protection enforces application-specific policies on agent traffic and tool interactions, using runtime context to restrict unauthorized actions and access. Agent Protection runs on the same ingress-layer enforcement engine that inspects the full attack surface.
What API Security does[5][8][10]
API Security enforces controls based on how APIs behave across requests and sessions, not just individual request signatures. Impart applies inline, sequence-aware enforcement to every API call. API Security detects and blocks shadow APIs as they are accessed. API Security prevents sensitive data (PII) from leaving the system.
What Runtime Defense Harness does[10]
Runtime Defense Harness uses AI-assisted investigation to develop targeted virtual patches and deploy protection through the same engine already protecting the applications. Targeted virtual patches are generated and tested against runtime traffic, with Policy as Code validated before deployment. AI-generated virtual patches are informed by runtime behavior, tested against live traffic and enforced through programmable Layer 7 controls.

Questions about Impart Security and SplxAI

What do Impart Security and SplxAI sell?
Impart Security sells Agent Protection, API Security and Runtime Defense Harness. SplxAI sells Agentic Radar.
Are Impart Security and SplxAI in the same category?
They share AI firewalls and guardrails and AI model and agent security. Impart Security's primary category is AI firewalls and guardrails and SplxAI's is AI model and agent security.
Where are Impart Security and SplxAI headquartered?
Impart Security is headquartered in San Francisco, United States.
When were Impart Security and SplxAI founded?
SplxAI was founded in 2023.
Who owns Impart Security and SplxAI?
Impart Security is privately held. SplxAI is owned by Zscaler, since 2025.
Who are Impart Security and SplxAI sold to?
Impart describes protection that runs inside an organisation's existing ingress. From its own pages, the company sells mainly to enterprises, saying the platform is built for enterprise scalability.

About Impart Security

Impart Security sells programmable, deterministic Layer 7 protection across AI, applications and APIs. Impart enforces security policies directly in the application traffic path. Impart describes one programmable engine that unifies OWASP coverage, stateful behavioral analysis and custom security logic to block threats inline. Impart defines runtime enforcement as the ability to detect and block a threat at the moment the request is made, inline in the path of live traffic. Impart integrates programmable Layer 7 protection into existing ingress and egress infrastructure, enforces deterministic controls locally, and synchronizes policies and runtime state across distributed environments.[4][6][9][10]

For bots, Impart blocks credential stuffing, scraping and AI-driven automation with stateful controls that evaluate request patterns and session behavior. For agents, Impart enforces application-specific policies on agent traffic and tool interactions, using runtime context to restrict unauthorized actions and access. Impart detects and blocks shadow APIs as they are accessed. Impart's API enforcement prevents sensitive data (PII) from leaving the system.[8][10]

Impart sits between the agent and the customer's systems, enforcing security before any action executes. Agent protection runs on the same ingress-layer enforcement engine that inspects the full attack surface. Impart evaluates each prompt using session history, identity, prior model interactions and the chain of tool calls behind it. Impart's LLM enforcement sits inline between the caller and the model and runs before the prompt reaches inference. Impart builds a live catalog of every MCP server reaching the environment, sanctioned or not, and every tool exposed by each one. Policy-as-code in Impart applies the same way to AI clients, CLI users, web apps and direct API callers.[3][5][6][8]

Runtime Defense Harness uses AI-assisted investigation to develop targeted virtual patches and deploy protection through the same engine already protecting the applications. Impart generates and tests targeted virtual patches against runtime traffic, validating Policy as Code before deployment. Impart deploys custom virtual patches in under 60 minutes. Impart executes custom security logic inline using request context and shared session state, and blocks attacks without model inference in the traffic path.[4][10]

Impart runs inside the existing ingress, without adding an extra traffic hop or single point of failure. A lightweight module runs inside the existing ingress controller, capturing HTTP requests after TLS termination and passing them to a local inspector. If the inspector fails or times out, the module fails open. The Impart inspector runs locally alongside the ingress to evaluate request context, runtime state and custom security logic. Enforcement decisions in Impart are deterministic, and no AI inference or cloud round trip is required. Impart Cloud keeps policies and shared state in sync. Impart extends programmable Layer 7 protection to outbound AI requests and agent interactions through supported AI gateway infrastructure. Impart inspects traffic, applies custom security logic and protects sensitive data without replacing the existing gateway, routing or cost controls. The Impart Security plugin runs natively inside Kong Gateway, paired with an Impart Inspector running in the customer's own environment.[5][9][10]

Impart inspects every request to AI applications, web applications and APIs in the traffic path where it sits. The Impart integration with Wiz sends hosts to a Wiz tenant as Imported Assets, next to the cloud resources. Impart sends hostnames to Wiz and does not read Wiz issues, findings or resources. FanDuel replaced black-box security with Impart. Impart offered Crossbeam a single solution for web application, API security and LLM protection.[1][2][3][4][5][6][7][8][9][10]

Impart Security on the record

Sources

Impart Security full record

  1. [1]impart.aiImpart Security · impart.ai · undated page, accessed September 27, 2026 · Tier A
  2. [2]impart.aiImpart Security · impart.ai · undated page, accessed September 27, 2026 · Tier A
  3. [3]Agent Protection - Control AI Agent Behavior | ImpartImpart Security · undated page, accessed September 27, 2026 · Tier A
  4. [4]AI Runtime Defense | Impart Security PlatformImpart Security · undated page, accessed October 25, 2026 · Tier A
  5. [5]LLM Protection | Deterministic Agent Controls | ImpartImpart Security · undated page, accessed October 25, 2026 · Tier A
  6. [6]MCP Protection | Runtime Control for MCP Layer | ImpartImpart Security · undated page, accessed October 25, 2026 · Tier A
  7. [7]WAF for the Agentic Era | Impart SecurityImpart Security · undated page, accessed October 25, 2026 · Tier A
  8. [8]API Security for the Agentic Era | Impart SecurityImpart Security · undated page, accessed October 25, 2026 · Tier A
  9. [9]Integrations with Impart Security | Impart Security Runtime ProtectionImpart Security · undated page, accessed November 10, 2026 · Tier A
  10. [10]Programmable Layer 7 Firewall | Impart SecurityImpart Security · undated page, accessed November 10, 2026 · Tier A

SplxAI full record

  1. [1]splx.aiSplxAI · splx.ai · undated page, accessed September 30, 2026 · Tier A
  2. [2]SplxAI Closes $7M Seed Funding Round to Help Organizations Secure Agentic AI SystemsBusiness Wire · businesswire.com · published March 26, 2025 · Tier A
  3. [3]Zscaler acquires splxSplxAI · splx.ai · published November 3, 2025 · Tier A
  4. [4]SPLX Platform | End-to-End Security for the AI LifecycleSPLX · undated page, accessed October 31, 2026 · Tier A
  5. [5]SPLX | End-to-End Security for AISPLX · undated page, accessed October 31, 2026 · Tier A
  6. [6]AI Governance & Compliance | Stay Aligned with AI PoliciesSPLX · undated page, accessed October 31, 2026 · Tier A
  7. [7]Remediation | Harden your LLM system prompts to mitigate risksSPLX · undated page, accessed October 31, 2026 · Tier A
  8. [8]AI Asset Management | Unified Inventory & Security for Enterprise AISPLX · undated page, accessed October 31, 2026 · Tier A
  9. [9]Probe | Automated & Continuous Red Teaming for Conversational AISPLX · undated page, accessed October 31, 2026 · Tier A
  10. [10]AI Runtime Protection | Real-Time AI Threat DetectionSPLX · undated page, accessed October 31, 2026 · Tier A
  11. [11]SplxAI | The future of automated AI Red TeamingSPLX · undated page, accessed November 10, 2026 · Tier A
  12. [12]Monitoring | Analyze LLM Logs to proactively identify malicious user activitySPLX · undated page, accessed November 10, 2026 · Tier A
  13. [13]LLM Benchmarks | Compare and Evaluate the Security of Leading AI ModelsSPLX · undated page, accessed November 10, 2026 · Tier A
  14. [14]Security and TrustSPLX · undated page, accessed November 10, 2026 · Tier A
  15. [15]Pricing & PlansSPLX · undated page, accessed November 10, 2026 · Tier A

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