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CRN’s 2026 AI 100 cybersecurity category names 20 companies developing controls for shadow AI, enterprise AI use, autonomous agents, identity, data and AI-related threats. The list is editorial, not a ranking: CRN does not publish a scoring method, efficacy benchmark, pricing comparison or independent product test. Treat it as a map of market activity, then verify availability and fit before buying.
CRN’s source list describes recent launches and capabilities; an announcement is not necessarily a generally available product.
What “AI cybersecurity” means in this list
The phrase covers three related but different jobs:
- AI for cybersecurity: machine learning or generative AI used for detection, investigation, response and analyst productivity.
- Cybersecurity for AI: protection for models, applications, agents, prompts, APIs, tools, data and infrastructure.
- Governance of enterprise AI: discovery and policy enforcement for public chatbots, private models, browser tools, coding assistants and agentic workflows.
A vendor can be strong in one area without providing a complete AI-security platform.
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The 20 companies CRN selected
CRN’s unranked group comprises the following vendors. The descriptions below reflect CRN’s stated focus and each company’s positioning, not independent validation of performance.
1Password
1Password is extending access management to human, machine and AI-agent identities. Its relevance is credential and secrets control rather than model testing. Buyers should confirm which identity types are supported, how delegation works and whether the capability is generally available through existing IAM integrations. Company site
Cato Networks
Following its Aim Security acquisition, Cato is adding AI protection to Cato SASE Cloud for public and private AI use, including AI security posture management (AI-SPM). This is a network-led route to governance. Validate traffic visibility, encrypted-traffic inspection, private-model coverage and the need for the wider Cato platform. Company site
Check Point Software Technologies
Check Point’s AI Defense Plane targets workforce-AI visibility, governance and runtime protection. It may suit organizations already using Check Point, but ask how controls reach SaaS, private AI and agents, and which functions are shipping products rather than announced capabilities. Company site
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Cloudflare One provides AI-use discovery, shadow-AI controls, AI-SPM and sensitive-data safeguards through its edge and Zero Trust stack. Confirm how much application- and model-level visibility is available beyond traffic enforcement, and where inspected data is processed. Cloudflare One
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CrowdStrike
CrowdStrike highlights Falcon AI Detection and Response, prompt and agent-interaction security, shadow-AI governance and GenAI data protection. Its advantage is combining endpoint, identity, cloud and SOC telemetry. Distinguish those AI-powered operations features from controls that protect an AI application itself. Company site
Cyera
Cyera’s Browser Shield is designed to show managed and unmanaged browser-based AI use in real time. It illustrates the data-layer and browser challenge: test whether it can identify unsanctioned tools without disrupting legitimate work, and whether non-browser traffic is covered. Company site
Darktrace
Darktrace’s Adaptive Human Defense uses behavioral AI to coach employees during risky activity. That is primarily human-risk reduction, not model or agent security. Buyers seeking AI asset inventory, DLP or runtime controls will need additional capabilities. Company site
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Fortinet describes FortiAI protection across infrastructure, models, workloads, data and the supply chain, including shadow-AI scanning. Existing Fortinet customers may benefit from integration; verify which elements are products, features, services or roadmap items. Company site
Netskope
Netskope One AI security includes an Agentic Broker, MCP visibility and control, AI-threat prevention and policy inspection. It represents SSE/SASE converging with AI governance. Validate deployment points, prompt and response inspection, private-AI support and agent-to-tool policy enforcement. Company site
Okta
Okta’s secure-agentic-enterprise framework and Okta for AI Agents focus on lifecycle, delegation and least privilege. CRN said availability was expected in April; check the current edition, region and production status before treating it as purchasable. Company site
Orca Security
Orca emphasizes runtime AI threat detection and correlation among workloads, identities, processes and AI systems. Ask whether coverage includes model endpoints, agent actions, data movement and response, rather than inventory alone. Company site
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Prisma AIRS 3.0 provides AI-agent and model inventory, architecture mapping and vulnerability scanning. It exemplifies cloud, application and AI-security convergence. Separate posture discovery and scanning from runtime enforcement, red teaming and incident response. Company site
Proofpoint
Proofpoint extends AI-powered data-security posture management (DSPM) to on-premises environments and privilege-aware access. This is a data-governance approach: confirm hybrid coverage, classification quality, retention and how controls apply to prompts, outputs and repositories. Proofpoint lists the recognition in its awards newsroom.
Rubrik
Rubrik’s Semantic AI Governance Engine is described as translating natural-language policy into controls for autonomous agents. Treat “first” or similar superlatives as company claims, and verify availability, supported data sources, enforcement points and audit records. Company site
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SailPoint
SailPoint’s Shadow AI Remediation links discovery of unsanctioned AI tools to identity governance, entitlements, approvals and remediation. CEO Mark McClain told CRN that AI agents amplify existing privilege weaknesses. CRN interview · Company site
SentinelOne
Prompt Security targets on-premises, sovereign and air-gapped environments, with shadow-AI discovery and sensitive-data redaction. Confirm supported models, infrastructure, latency, policy controls and the precise self-hosting requirements for your edition. Company site
TrendAI
TrendAI is presented as an Agentic Governance Gateway for visibility and policy enforcement across autonomous-agent interactions. Verify the product’s exact corporate ownership, maturity, integrations and availability through Trend Micro before treating it as an established standalone offering.
Upwind
Upwind lists AI-SPM, AI detection and response (AIDR), AI-BOM, AI-network visibility, MCP security and AI testing. It is a cloud-native specialist example, but recognition is not product validation; confirm integrations, support and production references. Company site
Wiz
Wiz’s AI Application Protection Platform is aimed at end-to-end AI-application risk context in cloud and developer workflows. Ask whether the purchased capability covers model supply chains, data, access, agent tools and runtime—not just cloud exposure. Company site
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Zscaler
Zscaler describes AI asset management, secure AI access, infrastructure and application security, red teaming, prompt hardening and runtime guardrails. Compare its Zero Trust traffic controls with the depth of model and application testing you require. Company site
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.The four problems driving the market
1. Discovering shadow AI
Employees may paste confidential material into public chatbots, install browser extensions, connect code repositories to coding assistants or create agents with corporate access. Discovery is not prevention: inventory may arrive without blocking, redaction, approval or policy enforcement.
2. Controlling data flows
Prompts, files, outputs and logs can contain source code, credentials, personal information or regulated data. Inline inspection can reduce leakage but introduces privacy, residency, retention and latency questions.
3. Securing applications and runtime behavior
AI-SPM generally covers inventory, configuration and exposure; an AI-BOM inventories models, components and dependencies; AIDR focuses on detection and response. These are vendor-defined labels, not universally standardized categories. Runtime guardrails act during requests, responses, tool calls or agent actions, but they do not remove flaws in the underlying application, identity system or data store.
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4. Governing non-human identities
An agent can call tools, modify records and interact with other agents. Buyers need scoped delegation, time limits, rapid revocation, least privilege, action logging and protection from prompt injection. An agent acting for a user should not automatically inherit every privilege that user possesses.
Market map: where the 20 vendors fit
| Primary emphasis | Companies |
|---|---|
| AI access, usage and shadow-AI governance | Cato Networks; Check Point; Cloudflare; Cyera; Netskope; Proofpoint; SailPoint; SentinelOne; Zscaler |
| Identity, privilege and agent governance | 1Password; Okta; Rubrik; SailPoint; TrendAI; Check Point |
| AI application, cloud and runtime protection | Orca Security; Palo Alto Networks; Upwind; Wiz; Zscaler; Netskope |
| AI-enhanced detection, response and human defense | CrowdStrike; Darktrace; Fortinet; SentinelOne; Orca Security |
These categories overlap. A broad platform can simplify procurement and integration but increase ecosystem dependency; a specialist may provide deeper functionality while adding another console, contract and integration burden.
How to evaluate an AI-security product
Inventory the real estate
- Public SaaS, private and self-hosted models.
- APIs, endpoints, agents, tools, connectors and MCP servers.
- Browser extensions and AI embedded in enterprise software.
- Models and dependencies in repositories and CI/CD pipelines.
Test data protection
- Sensitive-data discovery, prompt/response inspection, redaction or tokenization.
- DLP integration, residency, retention and on-premises or air-gapped operation.
- Protection for source code, credentials, intellectual property and regulated data.
Demand runtime enforcement
- Block, conditionally allow or require approval for requests.
- Prevent unsafe tool calls, prompt injection and exfiltration where supported.
- Apply policy to agent-to-agent actions, revoke sessions and produce explainable records.
Check identity and privilege
- Human-to-agent delegation, machine-identity lifecycle and just-in-time access.
- Entitlement mapping, privilege-escalation detection, secrets management and separation of duties.
- Rapid revocation and non-repudiable audit trails.
Validate deployment and evidence
- Identify whether enforcement is at the browser, endpoint, proxy, API gateway, cloud workload, identity layer or runtime.
- Confirm SIEM, SOAR, IAM, DLP, CNAPP, SASE and EDR integrations across hybrid and multicloud estates.
- Require vendors to distinguish announced, pilot, generally available, native and partner capabilities.
- Ask for independent testing or customer evidence; CRN’s list supplies none on detection rates, false positives, response speed, ROI or breach reduction.
Common failure modes
- Stale inventories: AI assets change across cloud accounts, repositories, gateways and SaaS, so discovery must synchronize continuously.
- Overblocking: banning every unsanctioned tool can push users to personal devices and unmanaged networks; pair restrictions with approved alternatives.
- Inspection risk: security platforms handling prompts and responses become another location for sensitive data.
- Confusing labels with coverage: “end-to-end” may mean only infrastructure, posture or access. Decompose the claim into model supply chain, code, data, prompts, tools, runtime and response.
- Assuming guardrails are complete: guardrails reduce unsafe behavior but cannot fix vulnerable connectors, excessive permissions or compromised data.
Bottom line for enterprise buyers
The 2026 CRN AI 100 cybersecurity list is best used as a market map. Established platforms such as Cloudflare, CrowdStrike, Fortinet, Netskope, Palo Alto Networks, SentinelOne, Wiz and Zscaler are extending existing network, endpoint, cloud and data controls. Identity-focused vendors such as 1Password, Okta and SailPoint address the permissions problem, while specialists such as Cyera, Orca Security and Upwind target narrower AI visibility and runtime needs. The right choice depends on where AI activity occurs—browser, endpoint, SaaS, network, cloud workload, application runtime or identity layer—and on what is actually available in your region and edition.
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