Check Point AI

Name: Check Point AI
Brand: Check Point Software Technologies
Rating: 4.6 (119 reviews)

Leader

Customers rely on Lakera for real-time security that doesn’t slow down their GenAI applications.

Est 1993|Valuation $15.5B|Raised $1.8B

LinkedIn 11K|Website|Web traffic 2.0M|FTEs 6,825|HQ San Francisco, CA

MarketsAI Security Platforms

01Competitive Landscape

Narrative analysis

- SSE-first vendors (for example, Netskope and Zscaler) integrate GenAI governance closely with SWG/CASB/DLP capabilities and often emphasize data protection and cloud-app governance. - Platform vendors (for example, Check Point and Palo Alto) emphasize consolidation across network, cloud, and endpoint security. This can reduce tool sprawl for organizations standardized on a single vendor, but it can also increase suite complexity and licensing opacity. - If the primary requirement is shadow AI discovery and preventing sensitive uploads, SSE-focused vendors may offer a more native experience. If the priority is integrated SOC workflows and policy management across an existing Check Point footprint, the Infinity approach may be operationally convenient.

	Check Point AI (Infinity: GenAI Protect + AI Copilot)	Netskope One AI Security	Palo Alto (Prisma SASE + AI Access Security)
Starting Price	Not clearly published for AI features; GenAI Protect listed in marketplace; enterprise pricing typically quoted through the vendor	Generally quoted through the vendor; product messaging emphasizes unified AI governance over published pricing	Pricing generally not published; AI Access Security typically available as an add-on via partners
Best For	Organizations already standardized on Check Point seeking GenAI controls integrated with Infinity Portal and SOC workflows	Organizations with an SSE-first strategy needing broad discovery and granular controls across cloud and AI apps	Platform-standardized organizations using Prisma Access/SASE seeking GenAI access controls within that ecosystem
Key Strength	Copilot hosting restricted by data region; integrated with Infinity platform for management and prevention workflows	Emphasis on broad app discovery and granular categorization; extensive cloud-app indexing	Broad enterprise platform footprint with adjacent security capabilities (NGFW, agents, identity integrations)
Key Weakness	Packaging and pricing clarity for AI features is limited; publicly available, quantified outcomes for GenAI Protect are scarce	Often quoted pricing; effectiveness depends on deployment completeness and policy tuning	Pricing complexity and potential price volatility; evaluation of AI controls depends on integration and deployment approach

01Competitive Landscape

Narrative analysis

SSE-first vendors (for example, Netskope and Zscaler) integrate GenAI governance closely with SWG/CASB/DLP capabilities and often emphasize data protection and cloud-app governance.
Platform vendors (for example, Check Point and Palo Alto) emphasize consolidation across network, cloud, and endpoint security. This can reduce tool sprawl for organizations standardized on a single vendor, but it can also increase suite complexity and licensing opacity.
If the primary requirement is shadow AI discovery and preventing sensitive uploads, SSE-focused vendors may offer a more native experience. If the priority is integrated SOC workflows and policy management across an existing Check Point footprint, the Infinity approach may be operationally convenient.

	Check Point AI (Infinity: GenAI Protect + AI Copilot)	Netskope One AI Security	Palo Alto (Prisma SASE + AI Access Security)
Starting Price	Not clearly published for AI features; GenAI Protect listed in marketplace; enterprise pricing typically quoted through the vendor	Generally quoted through the vendor; product messaging emphasizes unified AI governance over published pricing	Pricing generally not published; AI Access Security typically available as an add-on via partners
Best For	Organizations already standardized on Check Point seeking GenAI controls integrated with Infinity Portal and SOC workflows	Organizations with an SSE-first strategy needing broad discovery and granular controls across cloud and AI apps	Platform-standardized organizations using Prisma Access/SASE seeking GenAI access controls within that ecosystem
Key Strength	Copilot hosting restricted by data region; integrated with Infinity platform for management and prevention workflows	Emphasis on broad app discovery and granular categorization; extensive cloud-app indexing	Broad enterprise platform footprint with adjacent security capabilities (NGFW, agents, identity integrations)
Key Weakness	Packaging and pricing clarity for AI features is limited; publicly available, quantified outcomes for GenAI Protect are scarce	Often quoted pricing; effectiveness depends on deployment completeness and policy tuning	Pricing complexity and potential price volatility; evaluation of AI controls depends on integration and deployment approach