Axari vs Keystroke: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Axari and Keystroke — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Axari

Paid

An AI workforce for cybersecurity teams — an "AI twin" that triages alerts, chases owners and collects compliance evidence 24/7.

Critical Exposure Protection: Pulls finding and asset context, creates and assigns the ticket, then re-checks the scanner so an exposure is only closed once it is actually gone.
Continuous Compliance: Collects access evidence, maps it to controls and chases owners who have not responded, keeping evidence current outside of audit week.
Vendor Onboarding and Risk Review: Requests missing vendor documents, scores the vendor against internal policy and routes the decision to the risk owner with approvals attached.
Security Questionnaire Acceleration: Drafts answers from a team's approved response library and current policy language, flagging only the items that need human judgement.
Access Assurance: Enumerates every account and entitlement, nudges reviewers against a cutoff, then revokes and verifies removal rather than just requesting it.
Threat Response Assurance: Groups overnight alerts, enriches them with endpoint telemetry and opens assigned investigations so nothing sits in a queue.
Earned Access and Audit Trail: Every action requires human approval and is logged end to end, with zero data retention and customer knowledge staying with the customer.
Tool-Agnostic Integration: Works on top of a team's existing security stack instead of replacing it, mapping each tool's role during the first day of onboarding.

Alert Triage Coverage: Extending a small SOC to 24/7 by having the twin group, enrich and open overnight investigations before the team logs on.
Audit Readiness: Keeping SOC 2 or ISO evidence continuously collected and mapped to controls instead of scrambling during audit week.
Vulnerability Remediation Follow-Through: Driving findings to a verified fix by chasing the owning service team and confirming the scanner is clear.
User Access Reviews: Running periodic entitlement reviews end to end, including reviewer nudges and verified revocation.
Security Deal Support: Turning around customer security questionnaires quickly so enterprise deals are not blocked on review cycles.
Third-Party Risk Management: Onboarding new vendors with policy-scored documentation and a documented risk decision.
Incident Coordination: Keeping containment steps, session revocation and legal or leadership updates on a single coordinated timeline.

Freemium

Single platform for building, deploying, and running internal AI agents and multi-step AI systems with memory, tools, and triggers.

Agents with memory: build agents that keep memory, a persistent file system, and code execution to handle real, stateful work.
AI systems: compose agents, workflows, triggers, and human-approval steps into durable multi-step automations.
1,000+ integrations: connect any tool via built-in integrations, custom APIs, or MCP servers.
Company brain: teams share context, agents, and skills so knowledge and automation compound across the organization.
Triggers & schedules: run agents on webhooks, schedules, or event triggers with replay-safe workflows.
Repo-based deploy: deploy agents from your own repo, or build them alongside a coding agent like Cursor or Claude Code.
Usage controls: set spend limits, get alerts, and stop runs before you go over budget.
Enterprise controls: RBAC, agent guardrails, and enterprise-grade security in the Organization tier.

Ops team automates inbox triage, meeting-notes review, and follow-up drafting with agents that trigger on Granola/Slack events.
Engineering team ships internal agents from their own repo with the same review workflow they use for production code.
Sales team stands up a durable pipeline of triggers and workflows for CRM updates, brief generation, and outbound drafting.
Central AI team gives every department a shared workspace of agents, skills, and context instead of one-off scripts.
Startup founder combines multiple agents into an AI system that runs core internal processes without hiring more staff.
Regulated org deploys agents under RBAC and guardrails with human-approval steps on high-risk actions.