Ontinue ION MXDR autonomous investigations (agentic AI SOC for Microsoft Defender and Sentinel) vs RunSybil Sybil (AI offensive security / autonomous pentesting)
Ontinue ION MXDR autonomous investigations (agentic AI SOC for Microsoft Defender and Sentinel) (Ontinue (Ontinue AG)) and RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Ontinue ION MXDR autonomous investigations (agentic AI SOC for Microsoft Defender and Sentinel) |  RunSybil Sybil (AI offensive security / autonomous pentesting) |
|---|---|---|
| Vendor | Ontinue (Ontinue AG) | RunSybil |
| HQ | Switzerland · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | Zurich-headquartered managed detection and response provider for Microsoft Defender and Sentinel whose ION MXDR service uses a team of AI agents to run autonomous Tier 2-level incident investigations (aggregate telemetry, form and test hypotheses) before handing a step-by-step summary to an Ontinue Cyber Defender. | AI offensive security platform whose agents run black- or white-box autonomous pentests, chain vulnerabilities across code, APIs, cloud and infrastructure, reproduce every finding, and re-test on each deployment. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | security operations, alert triage, case investigation, incident response, threat detection | pen test management, attack surface, appsec, vulnerability management |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.ontinue.com/first-to-launch-agentic-ai-mdr/ | https://www.runsybil.com/solutions/autonomous-penetration-testing |
| Last checked | 2026-10-19 | 2026-10-18 |
| Official site | https://www.ontinue.com/first-to-launch-agentic-ai-mdr/ | https://www.runsybil.com/solutions/autonomous-penetration-testing |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with Ontinue ION MXDR autonomous investigations (agentic AI SOC for Microsoft Defender and Sentinel) or RunSybil Sybil (AI offensive security / autonomous pentesting). Open a pair page or the use-case table — this is not a ranking.
- Blackpoint AI SOC Agent for ITDR (autonomous identity threat containment for Microsoft 365 and Google Workspace) — AI SOC agent inside Blackpoint's managed ITDR service that autonomously contains high-confidence credential attacks on Microsoft 365 and Google Workspace accounts: it suspends the account, forces a password reset, ends active sessions and logs its reasoning, and escalates anything below its confidence threshold to a human SOC analyst. Generally available since July 8, 2026. · Blackpoint AI SOC Agent for ITDR (autonomous identity threat containment for Microsoft 365 and Google Workspace) pair comparison
- Bricklayer AI security agents (agentic platform for the AI security workforce) — Agentic cybersecurity platform that deploys, coordinates and governs teams of role-based and tool-specialist AI agents to triage alerts, investigate incidents, run threat-intelligence and threat-hunting work and track vulnerability remediation inside analyst-approved procedures, with every agent action auditable. · Bricklayer AI security agents (agentic platform for the AI security workforce) pair comparison
- Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) — Part of Check Point Exposure Management, launched May 28, 2026. AI agents reason like attackers across an organisation's external attack surface, correlating exposures, leaked credentials, CVE and live exploit research with existing protection coverage, then safely prove, pivot on, or discard each finding, so teams get evidence of what is actually exploitable. · Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) pair comparison
- Command Zero Agent Zero (autonomous security analyst) — Autonomous and AI-assisted SOC investigation platform from Austin, Texas. Its LLM agent, Agent Zero, investigates alerts end to end across identity, endpoint, cloud, email and SaaS, auto-closes routine cases with documented reasoning, and escalates the rest with a replayable chain of evidence for analysts to confirm or override. · Command Zero Agent Zero (autonomous security analyst) pair comparison
- depthfirst autonomous security agents (code, supply chain, secrets and agentic pentesting) — San Francisco application-security platform whose autonomous AI agents trace business logic and data flows to find exploitable code vulnerabilities, check dependency reachability and secrets, review pull requests with proposed fixes, and run agentic pentests against running applications, re-running each attack after a fix merges to confirm it is closed.
- Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) — Autonomous penetration testing built into the Dublin-based Edgescan platform, launched October 7, 2026. A team of narrow AI agents plans, adapts, chains vulnerabilities and validates real impact on web applications, using Edgescan's existing asset context and findings, while a deterministic 'Harness' enforces scope, permissions, approvals and allowed actions. Findings land alongside Edgescan's DAST, PTaaS and ASM results. · Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) pair comparison
- Nullify autonomous product-security agents (find-to-fix with merge-ready PRs and AI Pentest Agent) — Australian 'autonomous system of agents' for product security that covers code, secrets, API pentesting and exploit validation. It proves findings with reproducible evidence, scores them against the customer's assets, writes merge-ready fix PRs routed to code owners, and runs remediation campaigns through Jira and Slack until merge, with the customer keeping final merge approval.
- Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot — Offensive-security vendor from Milpitas, California. Its on-premises, model-agnostic RidgeGen agent does agentic AI red teaming: it reasons through multi-step attack chains to find business-logic and non-CVE risks, verifies every finding with reproducible exploit evidence, gives fix guidance and re-runs to confirm fixes. It sits alongside RidgeBot automated pentesting. · Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot pair comparison
Use-case comparisons
- AI SOC and security-analyst agents — 37 listings (Security operations, alert investigation and threat detection)
- Agentic pentesting AI agents — 19 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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