Beyond Torq: A Guide to 2025 AI SOC Alternatives

Torq is a solid platform. An AI SOC that takes the edge off Tier-1 fatigue with its low-code workflows and the Torq Socrates AI agent automation. But if you’re asking, “Is there a better way?” we’d say yes: you have options. Here’s the real guide to nine credible Torq alternatives, explained with real-world context, judgment, and the clarity you need when it’s your name on the breach report.

TOP 9 Alternatives to Torq in 2025

1. UnderDefense MAXI
2. Andesite
3. Anvilogic
4. Exabeam
5. Blumira
6. GreyNoise
7. Anomali
8. Vectra AI
9. 7AI

Key Takeaways

1. Automation ≠ Autonomy. Torq (and most “AI SOCs”) crush repeatable work; the gray-zone calls still need humans. Budget for hunters or budget for headlines.
2. Pricing reality bites later. Torq and other AI-SOC/automation platforms pricing land around $50K–$150K/year for SMB/mid-market and $150K–$350K/year for enterprise bundles; “agentic” newcomers typically quote $75K–$200K/year. Compare that to breach math: $650K–$10M+.
3. The last mile is human. AI gets you to the incident faster. MDR gets you through it. If your plan ends at “AI will,” your plan ends.

Torq Alternatives: Your 2025 Lineup

Let’s unpack these like a threat hunter walking into an incident with a coffee and no assumptions.

UnderDefense MAXI

UnderDefense MAXI is a cybersecurity control panel, not a black box. It ingests across your stack (SaaS, cloud, endpoints, identity) and surfaces what you’d miss. But that’s just the beginning.

The cyber defence team behind it? They’re the ones who uncovered 372 vulnerabilities in a global art supply giant, preventing over $2.59M in daily business losses from potential ransomware downtime. They’re the ones who found 11 mission-critical servers already beaconing Cobalt Strike in a licensing company’s environment, cleaned and contained in under 24 hours, avoiding a $650K hit.

• AI auto-triages ~80% of the noise.
• Human analysts own the last 20%—you know, the part where breaches actually happen.
• Explainability is baked in. Every escalation comes with reasoning you can show to the CFO and auditors, not just your Splunk admin.

If Torq is your robotic arm, MAXI + UnderDefense MDR is your second brain with hands.

The UnderDefense MAXI platform cost is free. You can plug it into your stack and use it as your security control panel: dashboards, unified triage, risk views.

Full MDR pricing by UnderDefense ranges $60K–$240K/year, depending on scope and scale. That number looks bigger than Torq’s $60K sticker, until you stack it against breach math: $650K for ransomware downtime, $4.4M average breach cleanup, $10M+ if identity gets abused.

Andesite

Andesite doesn’t detect, doesn’t respond, doesn’t pretend. What Andesite Security does is line up your messy alerts, context, and evidence trails into a workspace that makes human judgment actually possible.

It’s a co-pilot, not an autopilot. The Andesite AI engine shows its work, and when your internal team says “we didn’t see it,” you’ll see whether it was the data… or the analysis.

Great for orgs that:

• Have telemetry but no clarity
• Want investigation audit trails
• Need explainability for boards or regulators

Andesite pricing lands between $12K at the low end (pilot scale) up to $120K+ annually for larger deployments with integrations and enterprise support, according to recent market whispers and RFPs. 

It’s not “cheap,” but it’s also not a SIEM tax. Think of Andesite automation less as “another security tool” and more as the layer that makes all your other tools make sense. If you’re already paying six figures for ingestion into Splunk, Chronicle, or Sentinel, Andesite is the cost that keeps you from being embarrassed in the incident review.

Anvilogic

This one’s for the people writing Sigma rules in GitHub and muttering about YAML spacing. Anvilogic is detection-as-code on top of your SIEM:

• AI helps generate MITRE-mapped rules
• Works across Splunk, Sentinel, Chronicle, Snowflake
• Lifecycle management for tuning, rollout, and versioning

It won’t stop an attacker on its own, but it might finally help your team see the one you missed.

Anvilogic is best thought of as an exoskeleton for your detection engineers. It won’t stop an attacker on its own, but it makes sure your SIEM rules don’t rot, your coverage stays mapped, and your engineers aren’t drowning in regex déjà vu. 

Customers report +70% ATT&CK coverage uplift and thousands of analyst hours saved, not bad for a platform that doesn’t pretend to be your SOC, just the muscle behind it.

Anvilogic pricing starts at about $65K/year for a 1 TB/day ingestion with 365-day retention, while larger enterprise deployments can run $150K+ annually. Unlike per-seat tools, its costs scale with data volumes and environments, often benchmarked against Snowflake workloads.

It’s not the cheapest line item on your budget sheet, but it’s also not another million-dollar SIEM anchor. If your engineers are already exhausted by keeping Splunk or Sentinel detections alive, Anvilogic pays for itself in reduced false negatives (and less turnover).

Exabeam

Exabeam has been around. It knows what insiders look like. It builds timelines, sees behavior patterns, and helps you pivot fast. If you’ve ever had to untangle “who did what, when, and on which service account,” the Exabeam UEBA timeline view is the reason your analysts don’t flip a table.

But it’s still tied to the SIEM gravity well: ingest fees, parse pipelines, constant tuning. AI copilots add speed, and their new Nova strategy agent gives leadership some air cover by showing where the gaps are and how to pitch them to the board. But even Nova can’t rewrite the laws of SIEM physics: weak telemetry still equals weak detection.

Think of Exabeam TDIR and SOAR tools as accelerators rather than replacements. They help your SOC team move faster, but judgment still belongs to people. 

Best fit for:

• Large enterprises with SOCs already in place
• Cases where timeline clarity > action speed
• Teams with budget for both ingestion and tuning overhead

Exabeam entry-level pricing starts around $75K/year. Scale it up with serious ingestion, and you’re quickly looking at $127K–$355K annually, plus success plans and support.

Exabeam is a platform that works if you feed it properly and staff it properly. It won’t reduce your headcount, but it will give them tools to defend without drowning.

Blumira

Blumira is the ragmatist’s SIEM. This is your “I just need something now” pick. It sets up fast. It works out of the box. It has a free tier and pricing that doesn’t make you cry during procurement.

Perfect for:

• Small teams that don’t have a SOC (and don’t plan to build one tomorrow)
• Compliance checkboxes that don’t demand world-class detection engineering
• Coverage over customization: something that shouts if the basics go wrong

Blumira is less a “security platform” and more a fire alarm for SMB IT managers. It’ll catch brute force, phishing IOCs, ransomware signatures, and other high-volume noise. But when someone is blending into your Okta logs, escalating privileges at 2 a.m., or pivoting through SaaS tokens, Blumira is asleep.

Blumira pricing starts free with a SIEM tier for very small teams. Paid Blumira tiers scale from about $1K/year (50 employees) up to $24K/year (500 employees). Most orgs land in the $12–21 per user/month range.

Blumira is the minimum viable SOC. It won’t stop the sneaky attacker, but it will let you say, truthfully, “We do have monitoring in place.”

GreyNoise

GreyNoise is not a SOC platform. Not even a detection engine. It’s a cyber threat intelligence layer. But if you’re drowning in port scans, junk traffic, and crawler noise, GreyNoise is the aspirin.

Its value is simple: it takes 50,000 daily “is this bad?” IP hits your SOC gets, and cuts them down to the handful that matter.

GreyNoise security platform is not glamorous. It’s not going to impress your board with words like “autonomous SOC” or “agentic AI.” It’s the SOC equivalent of noise-canceling headphones: no one brags about them, but without them, you can’t hear yourself think. Their sensor network claims to flag exploits faster than CISA 80% of the time.

GreyNoise pricing plans land between $6K and $36K/year, depending on scale and API use with a free community tier (hobbyist level). Enterprise contracts go higher if you want heavy integrations across SIEM/SOAR pipelines.

For a CISO, it’s one of those rare purchases that’s easy to defend: the cost of a single wasted analyst month dwarfs GreyNoise’s subscription. If your team is on the verge of mutiny from triaging bot noise, this is the cheapest morale booster you’ll ever buy.

GreyNoise doesn’t stop attackers. It just stops your team from chasing shadows.

Anomali

Anomali is a threat intelligence platform for the CISO who’s tired of 8 tools duct-taped together. Its pitch is simple: stop juggling SIEM, XDR, UEBA, TIP, and data lake licenses. Just get them all in one platform. Petabyte-scale search? Check. AI copilot for faster queries? Also check. It’s built for scale, and it’s FedRAMP-aligned, which gives CISOs an easy story for boards and regulators.

But don’t confuse automation with autonomy. Anomali can automate enrichment, correlation, and even trigger pre-approved responses. What it won’t do is invent judgment calls in the middle of an edge-case breach. It gives you speed, visibility, and plumbing at scale, then hands the steering wheel back to your analysts.

Best fit for:

• CISOs rebuilding or consolidating their SOC stack
• Teams that want analytics at scale without adding more silos
• Orgs that prefer control (and responsibility) in-house

Anomali pricing is around $93K–$180K/year (RFP chatter), depending on scale and integrations.

Anomali security is less about replacing your SOC and more about cleaning it up. Think of it as the warehouse where all your detections, intel, and analytics finally live under one roof. It won’t fight the fight for you, but at least you’ll stop losing battles to tool sprawl.

Vectra AI

Vectra AI is a cybersecurity platform for the blind spots your EDR, XDR, and SIEM gloss over. Its Attack Signal Intelligence follows attackers across the network, cloud, and identity. Whether it’s credential abuse, lateral movement, or ransomware staging, Vectra claims to cut detection time from months to minutes.

Analysts don’t get flooded; they get prioritized signals. 90% fewer blind spots, 80%+ alert fidelity, and a workload that feels 30x lighter. That’s the pitch.

Best fit for:

• Enterprises with hybrid cloud/on-prem networks
• SOCs hunting for identity and lateral movement clarity
• Teams tired of false positives but not ready for “full autonomy”

Vectra AI entry pricing is $499/month for the Standard platform (network, identity, cloud) and $1,299/month for Complete (adds MDR + premium support). Legacy Protect SKUs for M365, Azure AD, or AWS run higher ($1,160–$5,000/month) but are being deprecated. At enterprise scale, contracts still land in the six-figure range, depending on integrations and scope.

7AI

7AI is a swarm of AI agents that triage, enrich, and investigate alerts. Its Dynamic Reasoning engine triggers the right expert agent for each incident, delivering conclusions in real time, from threat hunting to cloud, EDR, and identity investigations.

The pitch from the 7AI company is simple: offload the “non-human work” and buy back analyst hours.

In practice, 7AI security automation is powerful for triage, enrichment, and investigations, but autonomy has limits. Agents don’t contain threats on their own (yet). They don’t make the messy judgment calls in edge-case breaches. And while they can triage at machine speed, humans still take the last mile. If you expect “no humans needed,” you’ll see quickly where it stops.

Best fit for:

• Enterprises drowning in alert volume but short on analysts
• CISOs testing what “agentic security” looks like in production
• Teams willing to trade some control for speed and scale

7AI pricing (RFP chatter): $75K–$140K/yr pilot/single-domain; $150K–$240K/yr mid-market; $250K–$400K+/yr enterprise/MSSP. Mostly metered by agent count/concurrency, custom connectors, private VPC, and support tier.

Before You Shop

Here’s the thing nobody puts on the datasheet: AI SOCs are brilliant at catching the repeatable, the mappable, the “this looks like that.” But billion-dollar breaches don’t usually look like that.

AI can:

• Correlate Okta logins at machine speed
• Auto-triage 80% of yesterday’s noise
• Even draft a shiny board slide in seconds

But AI can’t:

• Wrestle an active intruder out of your network before breakfast
• Spot the SaaS misconfig that turns into a $10M compliance nightmare
• Notice the CFO’s assistant acting “off” because she’s suddenly pulling reports at 3 a.m.

That’s where human MDR hunters matter. The ones who’ve caught brute-forced VPN logins in one of the ten largest U.S. financial organizations, traced the misconfig attackers slipped through, and shut it down before it became tomorrow’s breach headline.

Yes, we built our own AI SOC: UnderDefense MAXI. It does the dashboards, the unified triage, the 360° visibility across SaaS, cloud, endpoints, and identity. It’s the control panel. But the last mile: the judgment calls, the containment, the “we’ve got this under control” phone call at 2 a.m. That’s still human. That’s our MDR.

Before you shop AI SOC promise, ask yourself:

Do I want another tool that explains why I missed it, or a partner that shows how we stopped it?