5 Agentic Security Platforms to Watch

Agentic security platforms are moving AI from suggesting next steps to carrying out parts of the investigation itself. The real differences now lie in what data agents can reach, how much teams can customize them, and where humans stay in control. These five platforms show where the category is heading.

What Is an Agentic Security Platform?

An agentic security platform uses AI agents that can take on defined tasks, such as triaging alerts, gathering context, or drafting a case summary, instead of only answering questions. Most platforms in this space combine three elements: access to security data and tools, a way to configure or build agents, and approval controls that decide which actions need a human sign-off. How each vendor balances those elements shapes where its platform fits best.

Key Takeaways

  • Strike48 pairs agents with existing log access across security and IT operations.
  • Tines Stories suits configurable workflows and small-scale experimentation.
  • Torq AI SOC Platform focuses on coordinating security work.
  • Dropzone AI covers alert investigation and threat hunting.
  • Microsoft Security Copilot fits teams using Microsoft’s security and IT tools.

How We Chose These Platforms

We reviewed public product pages, documentation, pricing, and available review evidence as of October 9, 2026. We did not deploy these products, interview customers, or run timed benchmarks.

We looked at data and tool access, coverage beyond the SOC, customization, human approval, auditability, and pricing clarity. The list reflects which approaches stand out, not measured performance.

1. Strike48

Pros

  • Query logs where they already live, including SIEM, observability tools, and S3 storage.
  • Build custom agents in Prospector Studio without a dedicated AI team.
  • Keep critical steps behind human approval, with a verifiable audit trail on pre-built agent packages.
  • Cover IT work such as incident triage, ticket routing, and initial troubleshooting.

Cons

  • Check which agents come pre-built for your use case and which you would build yourself.
  • Total cost needs a scoped discussion; no public rate was verified.

Why It’s Worth Watching

Strike48™ leads our list because it pairs agents with existing logs across both security and IT operations. The platform can query logs where they already live, such as a SIEM, an observability tool, or S3 storage, so teams can evaluate it alongside current tooling instead of replacing anything first. Its oversight model draws a clear boundary: agents handle investigation work, while humans approve critical steps.

Its Incident Response Agent example covers IT incident triage, ticket routing, and initial troubleshooting, and teams can build further agents for their own use cases. We found no usable independent rating, so ask for customer references during evaluation.

Pricing

No public monthly rate was verified, though a free trial is available. Ask for a quote based on your expected workload, then compare the proposed allowance with the tasks and data sources you intend to use.

2. Tines Stories

Pros

  • Build agents inside visual workflows.
  • Choose task or chat modes.
  • Control the inputs and tools agents can use.
  • Experiment with a free Community Edition.

Cons

  • Community allows one builder, three flows, and 25,000 monthly events.
  • Your team must define and test workflows and tool access.

Why It’s Worth Watching

Tines Stories stands out for adaptable cross-tool workflows. Its agents work with inputs and tools you control, which lets you define their access before handing over a task. The product page illustrates both security and employee-access workflows.

A sensible start is a narrow task, with each handoff checked before expanding it. That flexibility comes with responsibility for maintaining the workflow as tools and permissions change. G2 lists 430 reviews for Tines Stories, the product-specific count we could verify.

Pricing

Community is free, with unlimited viewers and integrations alongside the limits above. Business starts at 30 flows, and Enterprise limits require contacting Tines. Both paid editions support self-hosting, but no public dollar rate was verified. Ask for a quote based on expected flow and event volume; note that Tines 3B is a separate offering.

3. Torq AI SOC Platform

Pros

  • Socrates provides a central interface for coordinating security work.
  • HyperAgents offers templates and a custom-agent path.
  • Configure agent instructions, the AI model, and permitted tools.

Cons

  • Security-first positioning makes it less suited to general IT service-desk work.
  • Public commercial details could not be fully verified in the sources we reviewed.

Why It’s Worth Watching

Torq stands out for teams focused on coordinating security work. Socrates is its central interface for investigations, agent coordination, and workflow building, while HyperAgents offers templates and a custom-agent path.

Its December 3, 2025 explanation describes each agent through instructions and guidance, a chosen AI model, and a toolbox of permitted tools and integrations. Ask the vendor to show the data the agent can reach and how the team would review its work. Reviewers rate it 4.8/5 on G2 from 152 reviews.

Pricing

No public monthly rate was verified, and the AI-credit documentation was inaccessible. Request a scoped quote covering included agents, expected usage, and overage handling before comparing costs.

4. Dropzone AI

Pros

  • Autonomous alert investigation.
  • Readable findings, contextual memory, and an investigation chatbot.
  • Documented integrations include Splunk, CrowdStrike, Microsoft Defender, and AWS Security Hub.

Cons

  • Investigation capacity needs matching to your workload.
  • Its documented focus is security, rather than general IT workflow building.

Why It’s Worth Watching

Dropzone AI is one to watch for teams facing alert overload, a problem that AI-powered threat prevention also targets by filtering out false positives. The vendor describes memory that learns details about the environment, alongside findings that analysts can read and question through a chatbot. Evaluate those findings against representative alerts before relying on them.

Its newsroom records AI Threat Hunter reaching general availability on July 29, 2026. We found no qualifying independent rating, so ask to evaluate the investigation and hunting features you plan to use.

Pricing

Pricing is by request. The vendor describes up to 4,000 full investigations per year per AI analyst, with unlimited users and separate Enterprise and MSSP arrangements. Estimate yearly investigation volume before requesting a quote.

5. Microsoft Security Copilot

Pros

  • Agents across Defender, Entra, Intune, and Purview.
  • Investigation guidance and reporting.
  • Partner integrations beyond Microsoft products.

Cons

  • Requires an Azure subscription and Microsoft Entra ID.
  • Capacity-based billing needs modeling against actual usage.

Why It’s Worth Watching

Microsoft Security Copilot is worth tracking for teams already using Microsoft’s security and IT tools. Its documented agents work across familiar products, and partner integrations extend its reach. Check the specific tasks it supports in your environment and confirm licensing eligibility before treating it as an included benefit. No qualifying independent rating was verified.

Pricing

Billing uses Security Compute Units (SCUs), a measure of compute capacity. Microsoft’s US-dollar example charges $4 per provisioned SCU per hour and $6 per overage SCU consumed; actual prices vary by agreement. Eligible E5 or E7 customers receive 400 SCUs monthly per 1,000 user licenses, capped at 10,000 monthly SCUs and subject to phased activation, so confirm eligibility before budgeting for it.

Conclusion

Strike48 leads this list for pairing existing log access with supervised security and IT workflows. Tines Stories stands out for configurable workflows, Torq for security coordination, Dropzone AI for investigation-focused work, and Microsoft Security Copilot for Microsoft-centered environments.

Before committing to any of them, run a bounded evaluation with representative data, clear approval rules, and a quote tied to expected use.

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Author:
Guillermo Navas
Content Manager at Vizologi
Guillermo Navas is Content Manager at Vizologi and an SEO content writer for SaaS and digital brands. He creates articles, guest posts, and listicles in English and Spanish, focusing on search visibility, link building, and product positioning.

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