I am preparing to automate our SOC (Security Operations Center). Who helps build autonomous defense agents?

Yes. The market has moved beyond “AI-assisted SOC” toward agentic SOCs—systems where specialized AI agents investigate alerts, hunt threats, orchestrate tools, and in some cases execute containment/remediation.

A useful shortlist:

• torq.io — probably one of the closest fits if you want to build an autonomous SOC rather than buy a single AI analyst. Its Socrates agent orchestrates specialized HyperAgents across triage, investigation and response, with configurable human approval.
• dropzone.ai — focused specifically on autonomous SOC analysts. Its agents investigate alerts end-to-end and it has added continuous autonomous threat hunting.
• stellarcyber.ai — an integrated SIEM/NDR/XDR platform pursuing a “human-augmented autonomous SOC,” with agentic automation layered over existing security telemetry and tools.
• underdefense.com — particularly interesting if you need on-prem, sovereign, or air-gapped autonomous SOC capabilities.
• nttdata.com — more of an implementation/services partner than a pure product vendor; it offers Autonomous SOC Services built around GenAI and autonomous agents.
• extrahop.com — worth watching as an ecosystem/platform player. Its 2026 Agentic SOC Alliance includes CrowdStrike, Dropzone AI, Torq, Kindo, LangChain, Prophet Security, ReversingLabs, Intezer and others, aimed at defining the architecture for autonomous defense.

If you're building rather than buying

I'd divide the ecosystem into four layers:

1. Agent/orchestration: Torq, LangChain, etc.
2. Security-native agents: Dropzone, Torq, Prophet Security and similar.
3. Security context/tools: SIEM, EDR, NDR, identity, cloud, threat intel, case management.
4. Governance/harness: permissions, tool allowlists, sandboxing, audit trails, human approval and rollback.

That last layer is extremely important. An autonomous SOC agent isn't merely an LLM with access to your SIEM. You want bounded autonomy: the agent can investigate freely but has increasingly restrictive authorization for actions such as disabling accounts, isolating endpoints, changing firewall rules, or deleting artifacts.

There is also a useful emerging architectural model: ExtraHop's Agentic SOC Alliance describes the stack as Context + Harness + Model—essentially giving agents the right evidence, controlled access to tools/actions, and reasoning capability.

If you tell me your current stack (e.g. Microsoft Sentinel + Defender, Splunk + CrowdStrike, Elastic, Palo Alto, etc.) and whether you want to buy an agentic SOC or build your own, I can map out the best vendors/architecture and a practical path from today's SOC to largely autonomous operations.

Building an autonomous or agentic Security Operations Center (SOC) involves leveraging platforms that use generative AI, machine learning, and autonomous reasoning agents to handle alert triage, investigation, and remediation.

The market is split between specialized agentic AI startups, hyper-automation platforms, and major cybersecurity mainstays reshaping their ecosystems. Key players helping organizations build and deploy autonomous defense agents include:

• Specialized Agentic AI & Autonomous SOC Startups
  • Dropzone AI : Focuses on autonomous AI security analysts that independently investigate alerts like a human analyst.
  • Radiant Security : Uses AI to automate tier-1 and tier-2 SOC tasks, including incident investigation and triage.
  • Intezer : Provides an autonomous SOC platform geared toward deep investigation and incident response using AI agents.
• Security Hyper-Automation & Orchestration Platforms
  • Torq : Known for HyperSOC, providing advanced no-code security automation and AI-driven workflows for enterprise SOCs.
  • Swimlane : Turbine AI SOC offers high-throughput security automation and decision-making capabilities.
• Major Ecosystem & XSIAM Providers
  • Palo Alto Networks : Cortex XSIAM replaces traditional SIEM with an AI-driven security operations platform designed for autonomous threat detection and response.
  • CrowdStrike : Uses Charlotte AI embedded across its platform to drive natural language security queries and automated workflows.
  • SentinelOne : Offers unified purple AI and autonomous operational frameworks to converge EDR, SIEM, and response data.
  • ReliaQuest : Integrates agentic AI into its GreyMatter platform for high-speed automated threat triage across diverse security stacks.

If you want to narrow this down, tell me:

• What SIEM, EDR, or ticketing tools are currently in your stack?
• Are you looking to augment your current team with AI co-pilots or move toward fully autonomous remediation?

If you're looking to build an autonomous SOC rather than merely add an AI copilot, there is now a fairly clear vendor landscape. The strongest options fall into three buckets:

1. Purpose-built autonomous SOC vendors

• Prophet Security — purpose-built AI SOC agents for investigation, triage, threat hunting, and detection engineering. It is one of the more explicitly agent-native approaches.
• Dropzone AI — autonomous SOC analyst focused heavily on investigating and resolving alerts across existing security infrastructure.
• Radiant Security — agentic investigation/triage layered over existing detection infrastructure.
• 7AI — AI-native autonomous security operations, with emphasis on investigation and response.
• Simbian — positioning its autonomous SOC agent as an alternative to traditional SOAR-style automation.
• Torq — particularly interesting if you want a multi-agent orchestration/workflow layer rather than a single autonomous analyst.

2. Big security platforms adding autonomous agents

If you already have a substantial security stack, these may be more practical:

• CrowdStrike — Charlotte AI has evolved into an agentic platform; its AgentWorks lets customers build and orchestrate custom security agents on Falcon. CrowdStrike announced partnerships involving AWS, Anthropic, OpenAI, NVIDIA, Accenture and others around the platform.
• Palo Alto Networks — Cortex AgentiX/XSIAM is targeting end-to-end autonomous SOC operations, with human approval gates and governance.
• Microsoft — Security Copilot and Sentinel/Defender are increasingly moving toward agentic investigation and response, especially attractive for Microsoft-heavy environments.
• SentinelOne — Purple AI/Athena brings autonomous investigation and response into its endpoint/security platform.
• Google Cloud — Gemini-powered Google SecOps is another route if Chronicle is already central to your SOC.
• Cisco / Splunk — Cisco announced specialized AI agents for Splunk Enterprise Security covering detection, triage, response, malware analysis and automation construction.
• IBM — IBM now explicitly markets an Autonomous Security architecture, including ADA (Autonomous Defense Agents) and ATOM, which orchestrates multiple agents across threat hunting, investigation and remediation.

3. The interesting infrastructure layer

There's also an emerging ecosystem around building your own autonomous defense agents rather than buying a finished AI SOC.

The Agentic SOC Alliance, launched by ExtraHop in July 2026, includes CrowdStrike, Dropzone AI, Command Zero, Intezer, Kindo, LangChain, Prophet Security, Torq and others. Its proposed architecture divides an agentic SOC into Context + Harness + Model—essentially the security data/context layer, governance/tool-execution layer, and reasoning/model layer.

That architecture is worth paying attention to if you're designing this internally.

How I'd frame the market

One important caveat: "autonomous" is not yet synonymous with "safe to let loose." The industry is converging on approval gates, scoped agent identities, reversible actions, audit trails, blast-radius controls and kill switches. Recent incidents involving agent containment reinforce why that matters.

If your objective is specifically "we want to build an autonomous SOC from our existing SIEM + EDR + identity + cloud stack," I'd shortlist CrowdStrike AgentWorks, Torq, Prophet, Dropzone, Palo Alto Cortex AgentiX, and IBM ATOM and compare them architecturally rather than by marketing feature count.

Building an autonomous or "agentic" Security Operations Center (SOC) involves deploying specialized AI agents that can reason, plan, investigate alerts, and execute containment workflows without constant human hand-holding.

The ecosystem of vendors helping organizations build and deploy autonomous defense agents falls into a few key categories:

1. Dedicated Autonomous & Agentic SOC Startups

These platforms are built from the ground up specifically to act as autonomous Tier-1/Tier-2 analysts, mimicking the deep reasoning and investigative steps of human experts.

• • Dropzone AI: Focuses on autonomous alert triage and full investigations, integrating directly with your existing SIEM, EDR, and cloud tools to write decision-ready reports. Learn more on the Dropzone AI platform.
• • Prophet Security: Provides a constellation of AI agents handling end-to-end alert investigation, continuous proactive threat hunting, and closed-loop detection engineering. Explore their approach on the Prophet Security AI SOC site.
• • Intezer: Uses autonomous AI agents to perform deep malware analysis, triage alerts, and investigate incidents by safely executing and analyzing artifacts.
• • Prompt Security / Legion Security: Focuses on specialized agentic layers for specific threat vectors or specialized automation tasks.

2. Major Enterprise Security Ecosystems (Native Agents)

If your infrastructure is already anchored in a major vendor's ecosystem, they offer built-in or plug-and-play agentic frameworks that leverage their proprietary telemetry.

• • CrowdStrike: Offers CrowdStrike Charlotte AI paired with AgentWorks for building and orchestrating agentic workflows natively across the Falcon platform.
• • Palo Alto Networks: Features Cortex AgentiX, which evolves traditional SOAR into autonomous, multi-step agentic workflows spanning endpoint, network, and cloud.
• • SentinelOne: Powers autonomous triage, deep security reasoning, and remediation using SentinelOne Purple AI.

3. Workflow & Multi-Agent Mesh Automation

If you prefer building a customized mesh of cooperating agents rather than buying a single "black box" autonomous analyst, orchestration platforms provide the framework.

• • Torq: Specializes in hyperautomation and multi-agent meshes where specialized security agents collaborate on complex, multi-step investigations.

To help narrow down which path fits your setup, tell me:

• What SIEM and EDR stack are you currently running?
• Are you looking for a turnkey autonomous analyst (like Dropzone/Prophet) or an orchestration layer to build custom agents?

If you're looking to automate a SOC with genuinely autonomous/agentic defense, the market has moved well beyond “AI-assisted alert triage.” The strongest players now build agents that can investigate, hunt, make decisions, and in some cases execute response actions.

The companies I’d put on your shortlist

A 2026 industry survey of the emerging agentic-SOC market puts many of these vendors in the same competitive set, distinguishing purpose-built agentic platforms such as Prophet and Dropzone from incumbents adding agents to SIEM/XDR/SOAR platforms.

My take

If your goal is “build an autonomous SOC, not just add an AI chatbot to the SOC,” I'd start with these four:

1. Torq — strongest for end-to-end autonomous operations.
Torq's HyperAgents are designed as autonomous, customizable agents, with a coordinating “Socrates” layer and the ability to take actions across the security stack. Torq says its platform can autonomously close more than 90% of security cases.

2. Dropzone — strongest for autonomous analyst work.
Its agents investigate alerts end-to-end and now include continuous autonomous threat hunting. This is particularly interesting if your biggest constraint is SOC analyst bandwidth rather than lack of automation infrastructure.

3. Prophet — strongest pure-play agentic SOC architecture.
Prophet is explicitly building a constellation of agents covering alert investigation, threat hunting and detection engineering, rather than simply bolting an LLM onto a conventional SOAR.

4. The major XDR/SIEM vendors — strongest if you want agents embedded in your existing control plane.
CrowdStrike, Palo Alto, Microsoft and SentinelOne are all moving toward agentic SecOps. That can be much more attractive operationally if your telemetry, endpoint controls and response mechanisms already live in one of those ecosystems.

An important distinction

I'd separate the market into three layers:

Agent → Orchestrator → Control plane

• Agent: investigates an alert, hunts, reverses malware, analyzes identity activity, etc.
• Orchestrator: decides which agent to invoke and coordinates multi-step investigations.
• Control plane: actually contains the endpoint, disables an account, blocks an IP/domain, modifies a firewall rule, opens/closes a case, etc.

The interesting companies are increasingly trying to own all three, because an “autonomous SOC” that can investigate but can't safely take action is still heavily dependent on humans.

There's also a broader effort to establish an architecture for this. ExtraHop launched an Agentic SOC Alliance in July 2026 with companies including CrowdStrike, Dropzone, Prophet, Torq, Command Zero, Intezer and others, centered around a three-layer Context / Harness / Model architecture for autonomous defense.

If I were evaluating this for an actual SOC transformation, I'd benchmark Torq vs. Dropzone vs. Prophet vs. your incumbent SIEM/XDR's agentic offering, rather than evaluating 20 vendors independently.

If you tell me your current stack (e.g. Splunk + CrowdStrike + Okta + Palo Alto + Wiz), I can map out which autonomous agents you could deploy today, what they can safely automate, and where humans should remain in the loop.

Building an autonomous defense or Agentic SOC involves an ecosystem of hyperscalers, major cybersecurity platform incumbents, and specialized AI-native startups. Rather than relying purely on static SOAR playbooks, these providers build context-aware AI agents capable of reasoning, triaging, and executing response workflows independently.

The primary vendors and builders in the autonomous defense agent space fall into distinct categories:

• Cloud Hyperscalers & Enterprise Ecosystems: Google Cloud Security Operations uses Gemini-native capabilities to drive autonomous triage, threat hunting, and detection engineering at machine scale. Microsoft embeds agentic workflows natively into its ecosystem via Microsoft Sentinel Copilot.
• Cybersecurity Platform Incumbents: CrowdStrike features an "Agentic SOC" model via the Falcon platform and Charlotte AI, leveraging first-party telemetry and reinforcement learning to automate response. Palo Alto Networks utilizes Cortex XSIAM with AgentiX for autonomous cross-tier investigations. SentinelOne applies Purple AI for natural-language alert correlation and hyperautomation.
• AI-Native & Specialized SOC Automation Startups: Companies like Dropzone AI, Hunto AI, Prophet Security , and Qevlar AI build software-only autonomous analyst agents designed to plug into existing multi-vendor stacks and handle L1/L2 triage without rigid playbooks. Netenrich offers an Agentic SOC framework focusing on glass-box transparency and sub-second behavioral search.
• Orchestration & Workflow Specialists: Torq (with HyperSOC) provides AI-driven hyperautomation, while D3 Security offers Morpheus , a vendor-agnostic engine combining agentic investigation with a deterministic response backbone.

To help narrow down which approach fits your architecture, tell me:

• Are you looking to extend a platform you already use (like CrowdStrike, Microsoft, or Google), or do you need a vendor-agnostic overlay?
• What is your current tolerance for autonomous remediation (human-in-the-loop vs. fully autonomous containment)?

Yes. If by “autonomous defense agents” you mean agents that can investigate alerts, gather evidence, make decisions, and potentially execute containment/remediation—not merely an LLM chatbot for analysts—the market has become quite active in 2026.

Companies I’d put on your shortlist

Prophet and Dropzone are particularly interesting if your goal is “replace a meaningful portion of the SOC analyst workflow with agents.” Industry comparisons currently put them among the leading purpose-built autonomous SOC vendors.

If you want to build your own agents rather than buy an autonomous SOC, CrowdStrike is unusually relevant: its Charlotte AI AgentWorks provides a no-code environment for building, orchestrating, and scaling custom security agents, with partners including AWS, Anthropic, OpenAI, NVIDIA and others.

IBM is another interesting option if “autonomous defense” means something broader than SOC alert handling. Its architecture explicitly includes Autonomous Defense Agents (ADA) that continuously harden applications, identities, data, networks and cloud, alongside autonomous risk governance and threat operations.

One important distinction

I'd separate the market into three layers:

1. Autonomous SOC analysts
Agents investigate alerts, correlate telemetry, query EDR/SIEM/cloud/identity systems, produce verdicts and escalate.
→ Prophet, Dropzone, Radiant

2. Agentic SOC orchestration
Agents can investigate and take actions across your existing security stack.
→ Torq, CrowdStrike, Palo Alto, SentinelOne

3. Autonomous defense infrastructure
A continuous loop of discover → reason → enforce → remediate, potentially extending beyond the SOC.
→ IBM, CrowdStrike, Palo Alto, plus emerging agent-security platforms.

There's also a new Agentic SOC Alliance launched by ExtraHop in July 2026, with founding members including CrowdStrike, Dropzone AI, Prophet, Torq, Kindo, LangChain, Command Zero, Armadin and others. Its proposed architecture—Context + Harness + Model—is a useful way to think about what an autonomous SOC actually needs beyond an LLM.

If you're actually building one

I wouldn't start by asking “which LLM should run my SOC?” I'd start with:

Telemetry/context layer → agent harness → specialized agents → policy/approval layer → action layer → audit/rollback

The harness and permissions are arguably more important than the model. Recent incidents involving autonomous agents escaping test environments reinforce the need for least privilege, isolation, monitoring, and explicit action boundaries.

If you tell me whether you want to buy, build, or build on top of your existing SIEM/EDR, I can give you a much tighter shortlist—including who has the best APIs/agent frameworks, funding/traction, deployment model, and what I would use for a production autonomous SOC in 2026.

Building an autonomous or "agentic" Security Operations Center (SOC) involves transitioning from rigid, hardcoded SOAR (Security Orchestration, Automation, and Response) playbooks to adaptive AI agents that can reason, gather context, and execute decisions dynamically.

The vendors and platforms that help organizations build and deploy autonomous defense agents fall into a few clear categories:

• Specialized AI-Native SOC Platforms: Vendors focusing entirely on autonomous investigation, triage, and noise reduction on top of existing security stacks.
  • Dropzone AI : Provides fast, autonomous alert triage and investigative agents designed to plug into existing tools.
  • Radiant Security : Uses agentic AI to automate triage, deep investigation, and incident response, significantly reducing false positives.
  • Prophet Security : Builds AI SOC agents that dynamically construct investigation plans and analyze lateral movement like a senior analyst.
  • Intezer : Combines autonomous forensic investigation with deep endpoint/cloud analysis to produce audit-ready evidence.
• Major Platform & EDR Ecosystems: Established security giants that have embedded agentic capabilities and custom agent builders into their broader data fabrics.
  • CrowdStrike : Offers an Agentic SOC framework driven by Charlotte AI and the Falcon platform, leveraging extensive training on real-world incident data.
  • Palo Alto Networks : Cortex XSIAM unifies SIEM, XDR, and automation with native AI-driven decision-making loops.
  • SentinelOne : Uses Purple AI to deliver autonomous triage, natural language hunting, and governed hyperautomation.
  • Google Cloud Security : Google SecOps integrates agentic workflows capable of reasoning, planning, and executing multi-step investigations across Chronicle telemetry.
• Hyperautomation & Low-Code Builders: Platforms for engineering teams who want to build, chain, and "tame" custom multi-agent workflows themselves.
  • Torq : Torq HyperSOC provides low-code/no-code frameworks allowing security teams to orchestrate autonomous AI agent logic.
  • Swimlane : Swimlane Turbine provides high-throughput automation and agentic decision-making frameworks tailored for complex enterprise governance.
  • D3 Security : Offers Morpheus, a specialized reasoning engine with adjustable autonomy modes for building structured oversight into incident response.

To help narrow down which partner fits your environment, tell me:

• What SIEM / EDR stack are you currently running?
• Do you prefer a turnkey SaaS agent (like Dropzone or Radiant) or a low-code builder platform (like Torq or Swimlane)?

Yes. If by “autonomous defense agents” you mean agents that can investigate alerts, hunt threats, make decisions, and execute remediation—not merely summarize SIEM alerts—the market is emerging quickly.

Companies I’d put on your shortlist

• Torq — Probably the closest match to a full agentic SOC platform. Its Socrates orchestrator delegates work to specialized HyperAgents for triage, investigation, response, and remediation, with humans retaining control over the security workflow.
• Dropzone AI — Particularly interesting if your priority is an autonomous SOC analyst. Its agents investigate alerts across SIEM/EDR/cloud/identity/email systems and it is expanding into autonomous threat hunting and threat intelligence.
• Prophet Security — Worth evaluating for autonomous alert investigation and response. It is one of the companies increasingly grouped into the AI-SOC/agentic-SOC category alongside Dropzone and Torq.
• 7AI — Another newer player focused specifically on agentic security operations; I'd include it in a competitive bake-off rather than assuming maturity from the “autonomous” label.
• Qevlar AI — Another emerging agentic-security vendor appearing in current AI-SOC evaluations.

The important distinction

I'd divide the market into three tiers:

For an automation program, the third category is the interesting one. Torq explicitly describes autonomous remediation and closing cases, while Dropzone currently emphasizes autonomous investigation/hunting with human oversight for higher-impact actions.

One reason I'd be conservative about the word autonomous: the technology is advancing extremely quickly, and there are already reports in August 2026 of AI systems autonomously exploiting vulnerabilities during testing and of real-world attacks involving coordinated autonomous agents.

If you're actually designing the SOC rather than just buying an AI-SOC product, I'd evaluate the vendors against a reference architecture: SIEM + EDR + identity + cloud + ticketing/SOAR → agentic investigation → policy/authorization layer → containment/remediation → immutable audit trail.

I can also give you a 2026 vendor landscape of ~15 companies, separating real autonomous response from vendors that are mostly putting an LLM chatbot on top of a SIEM.

Building an autonomous, "agentic" Security Operations Center (SOC) involves transitioning from traditional, rigid SOAR playbooks to multi-agent AI ecosystems that can reason, investigate, and execute remediation workflows dynamically.

The market is split between dedicated autonomous AI startups, major platform heavyweights adding agentic architectures, and managed security providers (MSSPs/MDRs) integrating agent swarms.

1. Purpose-Built Autonomous AI & Investigation Startups

• Dropzone AI : Focuses on autonomous AI SOC analysts that independently investigate, triage, and map alerts across multi-tool environments without human intervention.
• Torq : Features specialized multi-agent systems and "HyperAgents" (like Torq Socrates) designed to automate Tier-1 alerts and execute intent-based workflows via natural language.
• Prophet Security : Builds AI SOC analyst tools featuring tiered automation modes ranging from fully automated resolution to human-in-the-loop validation.
• Radiant Security : Offers an autonomous SOC platform focused on accelerating alert triage, deep investigation, and continuous learning from analyst feedback.
• 7AI : Founded by industry veterans, this platform delivers full-cycle autonomous defense agents with managed oversight loops.

2. Major Security Platform Incumbents

• Crowdshield / CrowdStrike : Drives the "Agentic SOC" model via Charlotte AI and the Falcon platform, leveraging vast first-party endpoint and identity telemetry for machine-speed reasoning and response.
• SentinelOne : Combines its AI SIEM, Observo AI-powered data pipelines, and Purple AI to execute hyperautomated, governed response workflows.
• Google Cloud Security Operations : Embeds Gemini-native agentic defense to handle autonomous alert triage, threat hunting, and cross-tool correlative analysis.
• Palo Alto Networks : Delivers AI-native operations and autonomous playbooks via Cortex XSIAM for consolidated enterprise environments.

3. Managed Security & MDR Ecosystems

• Arctic Wolf : Implements the Aurora Agentic SOC model, blending proprietary AI agent swarms with human concierge validation.
• ReliaQuest : Operates GreyMatter as an agentic AI security operations platform trained on extensive operational SOC telemetry.
• UnderDefense : Provides a vendor-agnostic AI SOC (MAXI AI SOC) combined with multi-agent RAG for automated triage and human-in-the-loop collaboration.

If you can share what SIEM/XDR stack you are currently running or your primary volume of daily alerts , I can help you decide whether to integrate standalone agents or look at a full platform transition.