Top 10 SOC Automation Tools Compared

SOC automation tools take over repetitive security operations work, such as triaging alerts, pulling context from logs, and closing cases. The tools differ most in how much of an investigation they finish before an analyst steps in. That depends on how each vendor built its tool and which log data it can access.

We ranked 10 SOC automation tools across agentic, SOAR, SIEM, AI triage, and XDR categories.

Disclosure. We publish this guide and put Strike48 at #1 on the list. We evaluated every tool, Strike48 included, on the same five criteria and wrote each entry in the same format. Pricing, ratings, and watch-outs come from public sources such as vendor pricing pages and G2 reviews.

How we evaluated these SOC automation tools

We scored each tool on the same five criteria:

• Automation depth. We measured how much of triage, investigation, and response the tool completes before an analyst acts.
• Data reach. We checked which log sources the automation can query and whether it depends on what an existing SIEM already ingests.
• Human oversight. We looked at where analysts approve actions and whether the tool logs each automated action in an auditable record.
• Deployment effort. We estimated the engineering time a team needs to reach production, drawing mostly on G2 reviewer accounts.
• Pricing and independent reviews. We checked public pricing pages, G2 ratings, and review counts.

Six of the 10 tools fall into three tiers. SOAR platforms (Swimlane, Cortex XSOAR, Splunk SOAR) run playbooks a team writes, and AI triage tools (Intezer, Radiant Security) investigate alerts with language models. Agentic platforms (Strike48) split each investigation into steps that separate agents complete. The other four are a SIEM (Microsoft Sentinel), a hybrid (Exaforce), an NDR platform (Vectra AI), and an Open XDR layer (Stellar Cyber).

We included data reach because in Strike48's May 2026 survey of 100 security leaders, 84% said their current tools can't access all their log data for investigations.

SOC automation tools at a glance

The log coverage column shows which log data each platform's automation can reach. Most product comparisons leave this out, even though a tool can only investigate the logs it can reach.

1. Strike48 (Publisher): Best for custom SOC agents and workflows that work across systems

Strike48 is an agentic log intelligence platform. It queries logs where teams already store them and runs coordinated micro agents against that data to triage, investigate, and respond to alerts. We launched it in January 2026, and teams run it alongside their existing SIEM.

In early deployments, MTTD dropped below eight minutes, and agents found active phishing campaigns that the customer's existing SIEM had missed.

Key features.

• Search-in-place MCP connectors let agents query logs and telemetry from over 300 systems, including AWS S3, Splunk, Elastic, and existing data lakes where the logs already live, so teams don't migrate logs or store them twice.
• Teams can choose deployment method from cloud (SaaS), private cloud, on-prem, and fully air-gapped options.
• A coordinator agent splits each alert into specific tasks and hands them to micro agents. Each micro agent works from its own knowledge graph (built with GraphRAG) and can call only the tools its MCP connectors give it access to.
• Configurable human-in-the-loop approval gates let you choose when humans need to approve high-impact actions such as endpoint isolation and remediation, and the platform logs every agent action in an audit trail.
• Teams can customize agents based on pre-built agent packages for SOC Level 1 and Level 2 work, phishing, fraud, incident response, and evidence collection, or build completely custom agents without code in Prospector Studio.

What we like. SOC teams can customize based on their own unique environment and processes. The agent builder gives each agent one narrow job and clearly defined tool access, so no single agent has a broad mandate and each has less room to invent findings. Analysts can use the audit trail to trace how an agent reached each verdict.

Because agents query logs and telemetry in place, a team can keep a high-volume source available to them without paying to ingest it into a SIEM first.

Watch out for. Strike48 has no G2 or Gartner Peer Insights reviews yet, so buyers have no independent reviews to compare it against. Shared SaaS and isolated compute deployments go live in minutes, but on-premises and air-gapped deployments take weeks, and we advise regulated teams to plan for that in their evaluation timelines.

Teams also have to keep each agent's knowledge graph current as their environment changes, which adds ongoing work.

Pricing. Not publicly listed. Contact for pricing.

Reviews. Strike48 has no G2 or Gartner Peer Insights rating yet.

2. Swimlane: Best for process-mature SOCs with playbook engineers

Swimlane is a low-code SOAR platform for workflow automation, case management, and cross-tool orchestration. Teams write playbooks, and Swimlane runs them at scale. Swimlane also added LLM-assisted playbook generation to its Turbine platform.

Key features.

• Engineers build multi-step response playbooks in a low-code builder.
• Analysts track incidents in case management alongside the automation.
• Playbook authors can generate playbooks with LLM help in the Turbine platform.
• Teams orchestrate actions across their existing security tool stack.

What we like. Swimlane puts orchestration and case management in one product, so an analyst can follow an alert from automated enrichment to a closed case without switching tools. Teams that already know their response steps can run them the same way every time at high alert volume.

Watch out for. Swimlane acts only on alerts it receives from the SIEM, so it never sees threats in log sources the SIEM leaves out. One G2 reviewer describes initial deployment and playbook design as resource-intensive work that needs skilled engineers, with connectors and APIs that need frequent updates.

Pricing. Not publicly listed. Contact for pricing.

Reviews. 4.5/5 (45 reviews) on G2.

3. Palo Alto Cortex XSOAR: Best for Palo Alto-centered enterprise SOCs

Cortex XSOAR is Palo Alto Networks' playbook-based SOAR platform. Palo Alto sells it as part of its Cortex platform alongside Cortex XDR.

Key features.

• Engineers can choose from a catalog of 900+ integrations.
• Analysts collaborate on cases in a shared investigation workspace.
• The platform aggregates threat intelligence for analysts.
• Teams already running Cortex XDR connect it to XSOAR inside the same Cortex platform.

What we like. A large enterprise with a sprawling tool stack can usually find prebuilt connectors for most of it among the 900+ integrations. Teams can reliably run playbooks for known threat patterns across those connections.

Watch out for. XSOAR can't act on log sources the team excluded upstream, and analysts still investigate novel patterns by hand. A G2 reviewer notes that creating and modifying playbooks and configurations such as mappers and classifiers requires a dedicated team, and that the prebuilt playbooks are too generic to use out of the box.

Pricing. Not publicly listed. Contact for pricing.

Reviews. 4.6/5 (28 reviews) on G2.

4. Microsoft Sentinel: Best for Azure and Microsoft 365 environments

Microsoft Sentinel is a cloud-native SIEM with built-in SOAR inside the Azure and Microsoft Defender ecosystem.

Key features.

• Teams run SIEM detection and SOAR automation in one cloud-native service.
• Sentinel ingests data natively from Azure, Microsoft 365, and Defender.
• Analysts can run LLM-assisted investigations through Microsoft Security Copilot.

What we like. In a Microsoft-standardized shop, detection and automation run in the same service the rest of the stack already reports into, so the team doesn't need a separate SOAR contract or integration project.

Watch out for. Microsoft prices Sentinel per GB ingested, so teams face the same coverage tradeoffs as with legacy SIEMs and have to choose which sources to monitor and which to leave out. A G2 reviewer also finds the interface cluttered and information hard to locate.

Pricing. Microsoft bills Sentinel by consumption, per GB ingested, and offers commitment tiers that lower the per-GB rate for teams that commit to a daily volume. The Sentinel pricing page lists current rates by region.

Reviews. 4.4/5 (298 reviews) on G2.

5. Splunk SOAR: Best for Splunk Enterprise Security shops and MSSPs

Splunk SOAR, formerly Splunk Phantom, is Splunk's playbook-based SOAR platform.

Key features.

• Teams build playbooks that automate triage and enrichment for Splunk alerts.
• Splunk SOAR connects natively to Splunk Enterprise Security and Splunk Cloud.
• MSSPs can run it across multi-tenant Splunk deployments.

What we like. A team already running detections in Splunk Enterprise Security gets automation that reads the same data and alert context, with no new pipeline to build.

Watch out for. Splunk SOAR can only automate on the data Splunk holds. Teams that excluded high-volume sources to control indexing costs carry the same gaps into Splunk SOAR. A G2 reviewer reports plugins that get stuck and slow fixes without a dedicated support team.

Pricing. Not publicly listed. Splunk quotes SOAR and its Enterprise Security editions on request through its pricing page.

Reviews. 4.4/5 (40 reviews) on G2.

6. Intezer: Best for teams buried in false positives

Intezer combines behavioral ML, LLM reasoning, and genetic malware analysis to investigate alerts and decide whether to close or escalate them. Intezer says its platform resolves over 98% of false positives in under a minute.

Key features.

• Intezer runs genetic malware analysis on file-based alerts alongside its ML and LLM checks.
• After each investigation, Intezer closes the alert or escalates it to an analyst.
• Complete-tier customers get triage across SIEM, identity, cloud, and network alert sources.

What we like. For file-based alerts, analysts can compare Intezer's verdict with malware analysis and the language model's reading of the alert. Smaller teams can also start on a single alert source with the endpoint-priced Starter tier.

Watch out for. Intezer can't see threats in sources the SIEM never collects. A G2 reviewer flags free-tier caps and some GUI issues.

Pricing. Intezer prices the Starter tier by endpoints for one alert source and quotes the Complete tier on request. Its pricing page publishes no dollar figures.

Reviews. 4.5/5 (193 reviews) on G2.

7. Exaforce: Best for enterprise SOCs with diverse alert types

Exaforce is a hybrid platform that routes each alert to the type of reasoning that fits it.

Key features.

• Exaforce sends alerts that match known patterns to deterministic automation.
• It sends anomalous behavior to behavioral ML models.
• It sends novel or ambiguous threats to LLM-based reasoning.

What we like. Phishing alerts and lateral movement detection need different analysis, and Exaforce handles each one differently. G2 reviewers also describe a vendor that responds quickly to product feedback and delivers requested features fast.

Watch out for. Exaforce reasons over the existing log infrastructure, so any gaps in that data carry into its verdicts. A G2 reviewer notes limited direct data source support, with the team staging Cloudflare logs in AWS S3 before Exaforce could ingest them.

Pricing. Not publicly listed. Contact for pricing.

Reviews. 4.9/5 (7 reviews) on G2, a small review base.

8. Vectra AI: Best for network-centric threat detection

Vectra AI is an NDR platform that detects attacker behavior, including lateral movement, command-and-control beaconing, and privilege escalation.

Key features.

• Vectra's models analyze network metadata, so teams don't need EDR agents on each device.
• The platform covers east-west and north-south traffic across network segments.
• Vectra correlates network traffic with cloud signals.

What we like. Vectra reaches devices that can't run an endpoint agent. In OT and clinical environments, attackers can pivot through those devices.

Watch out for. Vectra doesn't cover cloud API logs, identity telemetry, or application events outside the network layer, and SIEM integration closes only part of that gap. A G2 reviewer calls setup difficult and reports hiring outside firms for training.

Pricing. Not publicly listed. Contact for pricing.

Reviews. 4.3/5 (20 reviews) on G2.

9. Stellar Cyber: Best for fragmented, multi-vendor security stacks

Stellar Cyber ingests and normalizes data from existing tools, including SIEM, EDR, NDR, and cloud security scanners, into a unified Open XDR layer. Its ML behavioral analytics then correlate signals across that data into cases.

Key features.

• Teams can feed in telemetry from any vendor.
• Analysts review correlated signals as cases.
• Teams can deploy it on-premises or in the cloud.

What we like. Teams can use the open design with tools they've already bought. That matters when organizations run an average of 28 distinct security tools with separate dashboards.

Watch out for. Stellar Cyber normalizes what existing tools produce, so it inherits their gaps. If the EDR covers 80% of endpoints, Stellar Cyber sees 80% of endpoint activity, and if the SIEM leaves out high-volume sources, those sources stay out. A G2 reviewer notes that some integrations are missing and that building new ones can take considerable time.

Pricing. Not publicly listed. Stellar Cyber's pricing page describes its pricing as predictable but lists no figures.

Reviews. 4.9/5 (8 reviews) on G2.

10. Radiant Security: Best for Cribl users planning tier 1 triage automation

Radiant Security built an LLM-native SOC product for tier 1 triage.

On August 19, 2026, Cribl announced it had acquired Radiant's AI SOC technology and is folding it into its own telemetry platform. Radiant no longer sells a standalone product.

Key features.

• Radiant writes custom triage logic for each alert, with no prebuilt playbooks.
• It investigates telemetry where the data already lives.
• It triages, investigates, and resolves alerts on its own.

What we like. Because Radiant writes triage logic per alert, teams skip the playbook-authoring step that SOAR platforms depend on. Querying telemetry in place also fits Cribl's pipeline model.

Watch out for. A buyer evaluating Radiant today is evaluating a future Cribl capability, with no standalone vendor relationship, price list, or support contract. Before the acquisition, a G2 reviewer found navigation between investigation views and custom query building took more steps than expected.

Pricing. Not applicable. Cribl now owns the technology and doesn't sell it on its own.

Reviews. 5/5 (2 reviews) on G2. Two reviews are too few to carry much weight.

How to choose a SOC automation tool

Start with the problem that costs the team the most analyst hours today, then pick the architecture built for that problem.

• Choose Swimlane or Cortex XSOAR if the team has documented its response steps and has engineers to build and maintain playbooks. Cortex XSOAR fits best when Palo Alto already anchors the stack.
• Choose Microsoft Sentinel or Splunk SOAR if one ecosystem already holds most of the team's detections and the team wants automation in the same place. Teams should model ingestion costs before committing, since those costs limit which sources they can afford to keep in scope.
• Choose Intezer or Exaforce if the SIEM already covers the environment well and the team loses most of its time to false positives. Intezer's Starter tier suits a single alert source, and Exaforce suits a wide mix of endpoint, identity, network, and cloud alerts.
• Choose Vectra AI if agentless devices on OT or clinical networks are the team's biggest blind spot.
• Choose Stellar Cyber if analysts lose time moving between dashboards from tools the team plans to keep.
• Choose Strike48 if the team excludes log sources for cost or keeps them in stores its tools can't query, and wants agentic investigation with approval gates. Buyers should weigh the lack of independent reviews and the weeks-long on-premises rollout.
• Hold off on Radiant Security until Cribl publishes how the capability will be packaged and priced.

Our guide to SOC tools covers the wider stack, including how needs change with team size.

What questions should buyers ask a SOC automation vendor?

• What percentage of the environment does the team monitor today, and does this platform change that number? Teams that inventory their log sources sometimes find they monitor fewer than they assumed. We built Strike48's federated search to change that number, while most tools on this list work within the SIEM's existing coverage.
• Does this platform take actions on its own, or produce outputs an analyst must act on? A tool that writes a query faster still leaves the analyst to run the investigation. An agent that runs the investigation, closes or escalates the alert, and flags confirmed threats takes that work off the analyst's queue. Both have value, so buyers should match the answer to the team's bottleneck.
• At which workflow steps does a human approve agent action, and why those steps? Approval steps at endpoint isolation, account lockout, or credential revocation are governance. If analysts have to approve every step, the platform isn't acting on its own in any meaningful way yet.
• What is the platform's answer to AI hallucination, and why is that answer credible? A credible answer names an architectural limit on the agent. Agents given small, specific jobs with defined knowledge graphs and limited tool access have far less room to hallucinate. A vendor that says its models are fine-tuned for security describes training but doesn't explain what the agent can see or do.

Is agentic AI replacing traditional SOC automation?

Partly. Buyers are moving to agentic platforms for open-ended investigation and keeping playbook-based SOAR for known, repeatable response steps. SOAR platforms run playbooks people wrote in advance, so analysts step in when an alert matches no playbook or when alert volume grows faster than the team can maintain playbooks.

In the agentic SOC model, specialist agents handle triage, investigation, evidence collection, and case notes, and an analyst approves consequential actions. Strike48's agent packages still use deterministic automation for routing, field normalization, and ticket creation, so those steps run the same way every time.

Case study: Tronox

Tronox is a mining and chemicals company with about 5,700 employees. In its first month on Strike48, the agents handled more than 75% of security cases on their own, and the security team got back about 670 hours. The team also cut its mean time to resolve by 80%.

Frequently asked questions about SOC automation tools

What is a SOC automation tool?

A SOC automation tool is software that handles part of a SOC's triage, investigation, or response work, so analysts don't have to do each step by hand. The category includes SOAR platforms that run predefined playbooks, AI triage tools that investigate alerts with language models, and agentic platforms that run multi-step investigations with human approval at critical actions.

SIEM, XDR, and case management tools feed and record that work, so vendors often sell them alongside it.

What's the difference between SIEM and SOAR?

A SIEM collects and correlates log data and raises an alert when a detection rule matches. A SOAR platform takes those alerts and runs playbooks that enrich, route, and respond to them. Because the SOAR only receives what the SIEM detects, it can act only on sources the SIEM ingests. Some vendors package both in one service.

Do SOC automation tools replace security analysts?

No. Most vendors building for production SOCs keep human-in-the-loop controls at high-consequence decision points such as endpoint isolation and credential revocation. As agents take on more tier 1 and tier 2 investigations, analysts spend more time on threat hunting, detection tuning, and decisions that require organizational context.

How much does SOC automation cost?

Most vendors quote on request. Total cost includes licensing, log ingestion and storage, engineering time to build and maintain playbooks or agents, and integration upkeep. Ingestion is often the largest variable, and our breakdown of SIEM costs shows how it scales.

To measure return, teams can track MTTD, MTTR, tier 1 investigation coverage, false-positive escalation rate, and analyst hours saved on routine triage, and set baselines at least 30 days before deployment. For scale on the risk side, IBM's 2026 Cost of a Data Breach Report puts the global average breach at $4.99 million.

How does Strike48 differ from the other platforms on this list?

Most tools on this list automate on top of the data an existing SIEM or detection tool already collects. Strike48 starts at the data layer. It queries logs in place through federated search and search-in-place connectors, then runs scoped micro agents against that data. The trade-off is maturity: we launched Strike48 in January 2026, and it has no independent review record yet.