Competitive Landscape
| Competitor | Strengths | Gaps |
|---|---|---|
| Microsoft Purview | Deep Microsoft ecosystem integration | Only covers Microsoft tools — no ChatGPT, Claude, open-source |
| Zscaler AI Security | Strong proxy-based architecture | Limited guardrails for custom LLM apps |
| Palo Alto AI Access | Prisma SASE integration | No agent security, limited guardrails |
| Lakera | Purpose-built LLM security | Point solution — only guardrails, no workforce or agent |
| LLM Guard (OSS) | Free, customisable | No console, no support, no integration |
Check Point's Differentiation
| Dimension | Advantage |
|---|---|
| Breadth | Three products: workforce + applications + agents |
| Platform | Infinity Platform — same console as network and endpoint |
| Any LLM | Works with any provider — not locked to one vendor |
| Agent security | First to address MCP/agent security — competitors haven't caught up |
| Technical depth | Ninja-trained team explains how detection actually works |
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Think Deeper
Try this:
You're in a competitive bake-off against Microsoft Purview. The customer is all-Microsoft. What's your angle?
Purview only covers Microsoft's AI tools. Their employees also use ChatGPT, Claude, Gemini, and open-source models — Purview has zero visibility into those. Plus, Purview doesn't cover custom LLM applications or AI agents. Position Check Point as the multi-vendor layer that works alongside Purview, covering the gaps.
Key insight: Competitors can claim AI security. You can explain how classification,
embeddings, and retrieval actually work in the product. That's credibility no slide deck can manufacture.