Agentic Index

RunSybil vs XBOW (2026)

RunSybil last verified ·XBOW last verified

RunSybil and XBOW both run autonomous offensive testing against live applications and validate exploits before reporting. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

RunSybil's agent system, Sybil, tests on every pull request, on a cadence or on demand, chains findings into exploit paths and pushes them to GitHub and Linear, with a public API and an MCP server. It sells through sales after a demo. XBOW's coordinator directs short lived attack agents against web applications and APIs, with independent validators, scope and rate controls and every agent action logged. On AWS Marketplace, 12 months of XBOW attack credits cost $50,000, used up as tests run. XBOW offers data residency in the US, EU or Singapore with SSO and user roles, while RunSybil keeps one picture of the estate that every engagement updates. Choose RunSybil for testing tied to every pull request. Choose XBOW for regional hosting, scope controls and a public price.

On the Agentic Index AI SOC ranking, neither RunSybil nor XBOW clears the bar, which asks for all five investigation loop capabilities documented in full. Neither documents human oversight and guardrails in full. 25 of the 86 vendors in the lane clear it. See the AI SOC ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. RunSybil and XBOW are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose RunSybil if

  • Testing should run on every pull request.
  • Findings should land in GitHub and Linear.
  • Each test should build on a picture of the estate kept from earlier runs.

Choose XBOW if

  • Test data must stay in the US, the EU or Singapore.
  • Scope, rate and testing windows should be set for every run.
  • A public credit package for the year helps your budget.
Feature
R
RunSybil
X
XBOW
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

Triggers & Channel Coverage

How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
R
RunSybil
X
XBOW

Entry price

Lowest public entry point

Contact sales AWS Marketplace: 12-month package of attack credits at $50,000 a year (about $4,167 a month). xbow.com quotes usage based pricing on request.

Pricing confidence

How public the numbers are

Contact only Public, partial

Billing

Primary billing axis

Inference, not stated by the vendor: the applications and infrastructure in scope for testing. Attack credits drawn down by testing activity, sold in annual packages.

Variable cost

Workload / overage exposure

Low variable cost Medium variable cost

Free tier / trial

Try before you buy

No free tier
No free tierTrial

Buying motion

Self-serve vs sales call

Sales call Mixed

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

RunSybil

  • · Workflow orchestration

    Continuous Coverage, now available to all customers, has Sybil test what changed in an application instead of waiting for the next pentest.

    Source
  • · Integrations

    RunSybil's October release pushes Sybil's pentest findings into Jira as issues with custom field mapping, and updates the existing ticket when a later test rediscovers a finding or a retest completes.

    Source
  • · Integrations

    RunSybil's September release adds ticketing integrations with Linear and GitHub that push and track security findings automatically, and a public API for configuring applications.

    Source

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