Home / Compare / ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) vs Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot

ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) vs Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot

ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) (ManageEngine (Zoho Corporation)) and Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot (Ridge Security (Ridge Security, Inc.)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

Field	ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents)	Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot
Vendor	ManageEngine (Zoho Corporation)	Ridge Security (Ridge Security, Inc.)
HQ	India · India	United States · North America
Primary category	Security	Security
Also listed in	Security	Security
Summary	AI agents inside ManageEngine's Log360 Cloud SIEM: an Investigation Agent that runs multi-stage alert investigations and writes an investigation report, prebuilt Alert Correlation and User Activity Review agents, and a no-code Agent Studio for custom SOC agents.	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.
Framework tags (Agent Index)	—	—
Frameworks (vendor-claimed)	—	—
Capabilities / tasks	security operations, alert triage, case investigation, threat detection, incident response	pen test management, attack surface, vulnerability management, exposure management
Pricing (as published)	Not published	Not published
Pricing model	quote	quote
Primary source	https://www.manageengine.com/log-management/ai-security/ai-agents-for-security-operations.html	https://ridgesecurity.ai/ridgegen/
Last checked	2026-10-18	2026-10-19
Official site	https://www.manageengine.com/log-management/ai-security/ai-agents-for-security-operations.html	https://ridgesecurity.ai/ridgegen/

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 ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) or Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot. Open a pair page or the use-case table — this is not a ranking.

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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.
Ontinue ION MXDR autonomous investigations (agentic AI SOC for Microsoft Defender and Sentinel) — 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. · Ontinue ION MXDR autonomous investigations (agentic AI SOC for Microsoft Defender and Sentinel) 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)

ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) vs Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot

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