Torq Alternatives: 9 AI SOC Competitors Compared by Fit and Pricing

Torq sells an AI SOC platform that triages, investigates and closes cases with AI agents, and its platform page calls Torq “the de facto leader of the AI SOC space.” If you are evaluating it, or already run it and want a second option, the right alternative depends on what you need the platform to do once the AI has finished its part.

This guide compares nine Torq alternatives on what each one actually does, who it fits, and what it costs, using each vendor’s own site as of October 2026.

Why Companies Look for Torq Alternatives

Torq’s own materials make its design choices clear: a SaaS platform, agentic automation that acts on its own, and pricing by quote. Each of those choices suits many teams and rules Torq out for others. These are the reasons that come up most often:

• You want a human to approve containment, and Torq says over 90% of its cases are remediated completely autonomously.
• You need on-premises or air-gapped deployment, and Torq is offered as SaaS only, in US, EU and Japan regions.
• You sell to US federal agencies, and Torq lists no FedRAMP authorization on its trust portal.
• You need people on shift 24/7, and Torq is a platform your own team operates.
• Your gap is detection quality in the SIEM, and Torq’s strength is automating what happens after an alert fires.
• You want a published price to budget against before talking to sales.

If none of these applies, Torq may be the right choice and this list is a benchmark. If one does, the comparison below shows which alternative closes that specific gap.

Torq Alternatives at a Glance

The table summarizes the nine alternatives with the gap each one fills and the pricing each vendor publishes. Pricing reflects the vendors’ own sites in October 2026; “quote only” means no price appears on the pages reviewed.

The groups matter more than the ranking. UnderDefense and 7AI take work off your team; Andesite, Anomali and Exabeam give your team a stronger platform to run; Anvilogic, Vectra and GreyNoise improve what reaches the queue in the first place.

1. UnderDefense Agentic AI SOC: Best for 24/7 Human-Led Response on Your Existing Stack

UnderDefense Agentic AI SOC runs AI agents that triage and investigate every alert, with UnderDefense analysts making the response decisions around the clock. It works on top of the SIEM, EDR, cloud and identity tools you already own across 250+ integrations, and it can run as SaaS, in a hybrid model or fully on-premises.

The difference from Torq is who acts at the end. Alerts reach a verdict in about 2 minutes from alert to triage, and critical alerts get a 20-minute SLA response from an analyst, so containment happens with a person in the loop. ChatOps checks suspicious activity with the affected user over Slack, Microsoft Teams, email or SMS before anyone escalates.

In one published case, a licensed iGaming operator saw the first alert in 10 minutes from the attacker’s first move, with initial triage complete 25 minutes later. UnderDefense is rated 4.9 out of 5 across 66 reviews on Clutch as of September 2026.

Best Fit For

UnderDefense suits teams that want the investigation automated and the response decision kept with people who are on shift at 2 a.m.

• Teams without a 24/7 security staff who need nights and weekends covered
• Regulated or government buyers who need on-premises or air-gapped deployment
• Organizations that want to keep their current SIEM and EDR

UnderDefense is a weaker fit if you want to own and tune every automation workflow yourself.

Pricing

UnderDefense publishes a starting price of $11 per device per month for 24/7 coverage, an indicative figure for organizations with up to 100 employees, and offers a 14-day free trial of the platform. Larger scopes are quoted.

2. Andesite: Best for Teams Adopting AI Automation in Stages

Andesite calls itself a Human+AI SOC built on “Humans at the Helm”: customers automate triage, workflows and playbooks partially or fully, in stages, as verified outcomes build trust. Analysts keep oversight of the work and make the critical decisions.

Andesite says it has achieved FedRAMP Certified Class D (High) status and is listed in the FedRAMP Marketplace, which matters for teams selling to US federal agencies.

Best Fit For

Andesite fits security teams that want AI to earn autonomy step by step under their own control.

• In-house SOC teams that want to raise automation gradually
• Federal and public-sector teams that need FedRAMP High
• Teams that need to evaluate AI accuracy before trusting it

Your own analysts still run the SOC, so it adds capacity to a team you already staff.

Pricing

Andesite does not publish prices. Its site offers an ROI calculator based on team size, and pricing comes through sales.

3. Anvilogic: Best for Detection Engineering on Your Data Lake

Anvilogic is an agentic SecOps platform that runs detection, triage and hunting on top of the data platform you choose, such as Snowflake, Databricks or Azure Data Explorer. Its core is the detection engineering lifecycle: building, mapping, tuning and maintaining rules across your data.

Anvilogic sells a Detect base package with Triage and AI Insights add-ons on an annual subscription. Its own calculator compares data lake storage costs with traditional SIEM ingestion, a comparison that matters if your SIEM bill grows with every new log source.

Best Fit For

Anvilogic suits teams whose gap is the quality and coverage of detections, earlier in the pipeline than where Torq works.

• Detection engineers maintaining large rule sets
• Enterprises moving logs from a SIEM to Snowflake or Databricks
• SOCs that want detection coverage scored and tracked

Anvilogic improves what fires; acting on each alert still falls to your team or another tool.

Pricing

Anvilogic lists its Detect package and add-ons as “Contact Sales” on an annual subscription and offers a 30-day free trial with your own data.

4. Exabeam: Best for Behavioral Analytics Across Users and AI Agents

Exabeam, which merged with LogRhythm in 2024, sells a SIEM built around behavioral analytics. Its current pitch applies one behavioral risk model to human users and to AI agents acting inside your environment, so it can flag risky activity that looks legitimate on the surface.

Exabeam says it is a Leader in the Gartner Magic Quadrant for SIEM. Its strength is the timeline: piecing together who did what, when and with which account.

Best Fit For

Exabeam fits enterprises that already run a SOC and need deeper insider and account-misuse detection.

• Large SOCs focused on insider threats and compromised accounts
• Organizations deploying AI agents that need their behavior monitored
• Existing LogRhythm customers planning their next platform

You still need staff to tune and run the SIEM, so budget for people alongside the license.

Pricing

Exabeam does not publish prices; its pricing link leads to the homepage and sales contact.

5. Blumira: Best for Small IT Teams With No SOC

Blumira is a SIEM with detections and response guidance built in, priced by employee count so the bill does not grow with log volume. Every edition includes one year of log retention, and its higher editions add an endpoint agent, host isolation and automated containment.

Blumira offers expert help from 9 a.m. to 8 p.m. ET in its Detect edition and 24/7 expert backup during critical incidents from the Respond edition up.

Best Fit For

Blumira suits small organizations that need monitoring in place quickly without hiring security staff.

• Small IT teams with no security analyst on staff
• Organizations that need a year of log retention for compliance
• Buyers who want a fixed price per employee

Teams that write their own detections may want a more configurable SIEM.

Pricing

Blumira publishes three editions: Detect at $12, Respond at $16 and Automate at $21 per employee per month, counted by knowledge workers, with volume, nonprofit, government and education discounts and a 30-day trial of Automate.

6. GreyNoise: Best for Cutting Internet Noise Before Triage

GreyNoise watches and analyzes malicious traffic hitting the internet edge through a global sensor grid in real time. It helps teams block novel exploitation, find compromised devices and investigate incidents, and its paid tiers connect to your SIEM, SOAR, threat intelligence platform and firewall.

GreyNoise is threat intelligence, a layer that makes every other tool on this list quieter. Its modules (Triage, Investigate, Hunt) decide which data fields your team sees.

Best Fit For

GreyNoise fits any SOC that spends analyst time on alerts caused by internet-wide scanning.

• SOCs flooded with alerts from scanners and crawlers
• Teams watching edge devices such as VPNs and firewalls for new exploitation
• Organizations that want to block exploit infrastructure early

GreyNoise pairs with any of the platforms above and replaces none of them.

Pricing

GreyNoise has a Free community tier with limited searches; its Standard, Advanced and Elite tiers are quote only, and every paid tier includes all integrations with no per-user licensing.

7. Anomali: Best for Consolidating Tools Under Governed AI Actions

Anomali positions itself as an Agentic SOC where every action an AI agent takes is governed by policy and defensible to a regulator or board. It works with the SIEM, EDR, cloud, identity and email tools you already own, with a maturity model for deciding if and when to retire your SIEM.

Anomali says it has 400+ enterprise customers across financial services, critical infrastructure, government and national defense.

Best Fit For

Anomali fits large security teams that want to consolidate data and intelligence while keeping control of AI actions in-house.

• Enterprises rebuilding or consolidating their SOC stack
• Regulated organizations that need policy-governed automation
• Teams with strong threat intelligence programs

The platform gives your team control and the responsibility that comes with it.

Pricing

Anomali does not publish prices; pricing comes through sales.

8. Vectra AI: Best for Network, Identity and Cloud Attack Detection

Vectra AI detects attacker behavior across network, identity and cloud traffic with what it calls Attack Signal Intelligence, prioritizing the signals that show where you are compromised right now. It acquired Netography in October 2025 to extend its network visibility.

Vectra covers the movement between systems that endpoint and log tools can miss: credential abuse, lateral movement and staging before ransomware.

Best Fit For

Vectra fits enterprises with hybrid networks where attackers can move between on-premises, cloud and identity systems.

• Hybrid cloud and on-premises environments
• SOCs focused on identity attacks and lateral movement
• Teams that need network detection alongside EDR

Vectra raises higher-quality detections; investigating and acting on them is still your team’s work.

Pricing

Vectra AI does not publish prices on its site; pricing comes through sales.

9. 7AI: Best for Offloading Triage to AI Agents

7AI builds AI SOC agents that take on repetitive triage and investigation work, delivered as what it calls “Service as Software,” meaning you buy outcomes and not another console to log into. It fits into your existing tools and workflows.

7AI’s pitch is closest to Torq’s: AI agents carry the routine queue so analysts spend their time on judgment calls.

Best Fit For

7AI suits teams that want to test agentic triage at scale without building workflows themselves.

• Enterprises with high alert volumes and lean analyst teams
• Security leaders piloting agentic AI in production
• Teams that prefer outcomes over another platform to administer

As with Torq, define which actions the agents may take on their own before rollout.

Pricing

7AI does not publish prices; pricing comes through sales.

How to Choose a Torq Alternative

AI SOC platforms handle the repeatable work well: correlating sign-ins, enriching alerts and closing the obvious false positives. The choice between them comes down to what happens with the rest, the alerts that need judgment, context from a person, or an action someone must answer for.

Start with the gap that sent you looking, then match it to the group of vendors built for it.

Put each shortlisted vendor through the same three questions: where does the AI stop and a person take over, can you see the reasoning behind every verdict, and who acts at 2 a.m. when the AI is unsure.

Weigh the tool cost against the incident it is meant to prevent. IBM’s 2026 breach report puts the global average cost of a breach at $4.99 million, which is the number your platform budget is really being compared with.

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Frequently Asked Questions