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PLATFORM COMPARISON

Compare agent security.

Look at the controls, where they run and the evidence they leave. Explore Oktsec alongside the platforms you’re considering.

Oktsec and AIR

Public sources · Last reviewed September 3, 2026

Showing Oktsec and AIR across 6 capabilities.

Publicly documented capabilities: Oktsec and AIR
What to compareOktsecAIR
Authorizes the actionChecks whether the agent may perform the requested action.StatedSource StatedSource
Deterministic decisionApplies security rules without an LLM making the decision.StatedSource Not stated
Signed policyAuthenticates the policy distributed to the enforcement point.StatedSource Not stated
Offline verifiable evidenceLets a reviewer check signed records independently.StatedSource Not stated
Local enforcementApplies controls within the customer’s environment.StatedSource PartialSource
Inventory per user and machineAssociates discovered agent tooling with users and systems.StatedSource PartialSource

Stated — documented in the source. Partial — a related claim, qualified in the notes. Not stated — not found in this review.

Missing documentation does not establish that a product lacks a capability. This is a review of public claims, not a hands-on product test.

All 8 vendors and sources
WORKING WITH YOUR EXISTING CONTROLS

Your tools have permissions.
Define the agent’s authority.

Keep the approvals in your agent platform and the access rules in your systems. Oktsec checks supported tool calls against your policy as they pass through Node.

For example, a support agent can be allowed to read checkout logs while a restart stays outside its permissions. Destination access rules still apply.

See where each control applies
BEFORE YOU CHOOSE

A few useful distinctions.

How is Oktsec different from a context firewall?

Content defenses inspect inputs and outputs and may block threats. Oktsec combines content inspection with explicit permissions at configured enforcement points. Compare the exact controls and integration coverage.

Our platform already has permissions and logs. What does Oktsec add?

Oktsec applies your agent policy to supported calls routed through Node, alongside the controls in your agent platform and destination systems. This gives your team a place to govern tool access across connected workflows and review the recorded decisions. Compare the actual integration and routing; tools that bypass Node remain outside its enforcement.

Does an LLM make the access decision?

Node evaluates configured permissions and detection rules without an LLM. Cloud can distribute signed policy releases. A model recommendation does not grant access.

Do we need a paid assessment before using Cloud?

No. Cloud is the platform. Security assessments and deployment support are separately scoped, optional services.

Can we verify the evidence without Oktsec Cloud?

Signed audit records can be verified offline with the trusted public key. Signing must be configured; integrity verification does not prove that unrecorded activity never occurred.

Is this table fair to the other vendors?

Each cell reflects what the vendor states in its own public materials at the review date, with a verbatim quote and a link. Partial means an adjacent claim. Not stated means we did not find it. We never write "they cannot". Corrections are welcome and move the review date.

Notes and sources.

The source material behind each comparison. Open a vendor to read the captured claims and their qualifications.

  1. OktsecThe security platform for AI agent workNotes 1 to 6
    1. 1
      Authorizes the actionApprove what agents can do before they act. Deterministic local enforcement.oktsec.com
    2. 2
      Deterministic decisionEnforcement is deterministic. A model can recommend. It cannot authorize.oktsec.com
    3. 3
      Signed policyA signed policy bundle is distributed to enrolled environments.oktsec.com
    4. 4
      Offline verifiable evidenceOktsec Node verifies exported action-evidence bundles offline, checking signatures and lifecycle chains against a trusted node fingerprint.oktsec.com
    5. 5
      Local enforcementExecution stays inside the customer environment. Approved environments can pull signed policy, apply it locally and return evidence.oktsec.com
    6. 6
      Inventory per user and machineOktsec Control finds every MCP server, skill, plugin, hook and subagent on every machine, by user, across 17 AI clients.Product page claim. The open source README documents MCP server discovery across 17 clients and NanoClaw allowlist audits.oktsec.com
  2. AIRThe Context Firewall for AI Agents, out of stealth Sep 1 2026 with $50MNotes 7 to 9
    1. 7
      Authorizes the actionAIR's runtime layer decides what an agent may do and enforces it action by action.Hero positions AIR as a firewall on what enters the context; the AIR Defend tier claims action by action enforcement.air.security
    2. 8
      Local enforcementprotecting their context across endpoint, cloud, and SaaSCoverage across endpoint, cloud and SaaS stated. No on premises, self hosted or data locality claim; AWS Marketplace listing only.air.security
    3. 9
      Inventory per user and machinethe workspaces and users that are active, how their configurations drift, and where real usage departs from the policy you set.Per user and workspace inventory stated. Per machine not stated.air.security
  3. ZenityAI Agent Security and Governance PlatformNotes 10 to 14
    1. 10
      Authorizes the actionevaluates every agent action in real time against rules of an organization and decides to let it through, block it, or shut the agent downzenity.io
    2. 11
      Deterministic decisionZenity lets platform and security teams set contextual, deterministic policy for coding and personal agentsStates deterministic policy for coding agents; also markets intent aware detection and AI authored rules. No claim that no model sits in the decision path.zenity.io
    3. 12
      Offline verifiable evidenceClosest public wording: every rule is reversible and audited.
    4. 13
      Local enforcementthrough native agent hooks and the Zenity MCP gateway, it can block or modify a dangerous tool call before it executes.Enforcement hooks run on the device; the platform is positioned as SaaS and agentless. No on premises or air gapped deployment stated.zenity.io
    5. 14
      Inventory per user and machineEvery Claude Enterprise install, MCP server, skill, plugin, and connected extension is inventoried and assessed against policy.Subagents, hooks and explicit per machine attribution not stated.zenity.io
  4. Noma SecurityAI Security Platform for LLMs, RAG and AI AgentsNotes 15 to 18
    1. 15
      Authorizes the actionenforce policies at the moment a connection or action is attemptednoma.security
    2. 16
      Offline verifiable evidenceNoma records every prompt, response, tool call, and enforcement action, providing a complete audit trailAudit trail stated. No hash chain or offline verification claim.noma.security
    3. 17
      Local enforcementSupport for both on-prem and SaaS deployments ensuring ... no model, training data or security events leave your environment.noma.security
    4. 18
      Inventory per user and machineNoma discovers every agent, MCP server, and skill on employee endpoints through your existing EDR or MDMAgents, MCP servers and skills per machine. Plugins, hooks and subagents not stated.noma.security
  5. Operant AIReal-time security platform for AI, Agents and MCPNotes 19 to 23
    1. 19
      Authorizes the actioninspects every AI-generated command, script, and shell call on the device, blocking malicious payloads, prompt-injected commands, and unsanctioned package installs before they run.operant.ai
    2. 20
      Deterministic decisionPublic materials describe intent classified with Operant's own models against natural language policies.
    3. 21
      Offline verifiable evidenceAI governance that can be evidenced to an auditor rather than attested to on a vendor's behalf.Audit ready evidence stated. No hash chain or offline verification claim.operant.ai
    4. 22
      Local enforcementOnly one outgoing HTTPS trusted connection from a customer environment's local Operant controller to Operant cloudoperant.ai
    5. 23
      Inventory per user and machineMaps each tool to user, device, business unit, and risk scoreSubagents and hooks not mentioned.operant.ai
  6. Okta for AI AgentsGovern agentic identity from a single control planeNotes 24 to 28
    1. 24
      Authorizes the actionwhen an agent calls a tool, it validates the agent's identity and the user behind it, checks the policies governing that agent, and brokers a short-lived credential at runtime.Agent Gateway is a research release as of July 2026, Okta hosted.okta.com
    2. 25
      Deterministic decisionDeterministic governance: Policy engines defining what an agent can and cannot access. ... Non-deterministic governance: Real-time signals driving dynamic policy decisionsPromotes both deterministic and behavioral signals in decisions.okta.com
    3. 26
      Offline verifiable evidenceEvery tool call, access attempt, and authorization decision is recorded ... Stream telemetry to your SIEMSystem log and SIEM stream. No hash chain or offline verification claim.okta.com
    4. 27
      Local enforcementAgent Gateway runs as an Okta hosted endpoint in the path.
    5. 28
      Inventory per user and machineDetect shadow AI agents by identifying new OAuth consent grants in managed Chrome browsersAgent discovery via OAuth grants. MCP servers, skills, plugins, hooks per machine not stated.okta.com
  7. Palo Alto Prisma AIRSAI security platform, Agent Security Platform since 3.0Notes 29 to 34
    1. 29
      Authorizes the actionGain centralized control of tool calls, LLM interactions, and Model Context Protocol (MCP) connectionspaloaltonetworks.com
    2. 30
      Deterministic decisionDetection is marketed as AI powered.
    3. 31
      Signed policyPrisma AIRS securely stores the signing secret in an encrypted edge Key-Value Map (KVM) to cryptographically verify the authenticity of every incoming requestRequest signing for the Claude inference hook integration, not signed policy bundles.paloaltonetworks.com
    4. 32
      Offline verifiable evidenceAgent Identity Security assigns each agent a governed identity with precise permissions and full traceability, ensuring actions are attributable and enforceable.Audit trails in Strata Logging Service. No hash chain or offline verification claim.paloaltonetworks.com
    5. 33
      Local enforcementScans run locally, so sensitive data never leaves your control.Applies to Model Security scans. Runtime API Intercept, Managed MCP Server and AI Gateway are cloud delivered.paloaltonetworks.com
    6. 34
      Inventory per user and machineMapping enterprise agents across cloud and SaaS environments, endpoint agents (including vibe coding agents) running on developer systems and browser-based agents.Agents and MCP servers. No per user and per machine attribution, no subagents or hooks stated.paloaltonetworks.com
  8. CrowdStrike Falcon GuardianAI Detection and Response, launched Sep 1 2026Notes 35 to 39
    1. 35
      Authorizes the actionDefines which AI agents are permitted to run on managed endpoints, blocking unauthorized agents and translating governance policy into enforceable runtime controls.Allow or block at the agent level plus detection driven containment. Per action tool call authorization not stated; the AI gateway is pre beta. Sep 2 2026: the Agentic Identity Provider, still in development, brokers tokens scoped to the minimum access for the minimum time per task.crowdstrike.com
    2. 36
      Deterministic decisionLeads with 99% detection efficacy, a model style metric. The Sep 2 2026 identity provider describes real time, risk aware enforcement replacing static policies. Not stated as deterministic.
    3. 37
      Signed policyThe Agentic Identity Provider announced Sep 2 2026 issues cryptographically verifiable agent identities, in development. The policy itself is not stated as signed.
    4. 38
      Local enforcementdelivering complete visibility and runtime enforcement from the endpoint, where AI agents execute and across the enterprise.Cloud managed sensor on the endpoint. No on premises, air gapped or data residency claim.crowdstrike.com
    5. 39
      Inventory per user and machineAutomatically discovers AI applications, agents, LLM runtimes, MCP servers, and development tools running across endpointsAgents and MCP servers per endpoint. Skills, plugins, hooks and subagents not stated.crowdstrike.com

Vendor names and marks belong to their owners. No vendor named on this page reviewed or endorsed it. Every cell reflects that vendor's own public materials on the review date. Vendors change their materials, so read this as a dated snapshot, not a verdict. We welcome corrections supported by current documentation. Send a correction.

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