Exabeam vs. The Field: 2025’s AI SOC Comparison

Looking for Exabeam alternatives? High pricing at scale, SIEM baggage that never goes away, and blind spots in SaaS and identity are all legit reasons to shop around. Either way, there are lots of options for you.

AI SOC startups are popping up like mushrooms after rain. Investment is flowing, promises are loud. But when the breach doesn’t fit the template, tools alone don’t save you. Humans with judgment do.

Let’s break down 9 names that come up most often as Exabeam alternatives.

TOP 9 Exabeam Competitors in 2025

1. Blumira
2. Anvilogic
3. ReliaQuest
4. GreyNoise
5. Anomali
6. Logpoint
7. SOC Prime
8. Wirespeed
9. Hunters Security

Key Takeaways

1. Exabeam isn’t alone. Many vendors are promising AI-driven SOC. But most breaches don’t follow a script. When identity abuse or quiet persistence slips through, the real question isn’t how fast AI moves, but who’s watching it.
   
2. Budget optics can blur breach math. A $50K platform looks good until you’re facing $650K in downtime or legal fire drills. What looks cheap in procurement can get very expensive in incident response.
   
3. AI accelerates what it understands. But the edge cases, the judgment calls, the weird-but-dangerous stuff? That’s where experienced cyber security specialists carry the weight.

At a Glance: Exabeam vs. Alternatives

Exabeam (baseline to beat)

Exabeam is a behavior-based TDIR platform built on UEBA roots. On top of its XDR and SIEM platforms, Exabeam layers AI copilots and timeline-centric investigations.

The promises:

• Mature timeline view that reduces alert pivoting fatigue.
• Strong UEBA capabilities for insider threat detection.
• Great fit for large enterprises with structured ops.
• Exabeam AI copilots assist with triage and investigations.

Blind spots:

• Still bound by SIEM logic: ingest, parse, tune.
• Weak signals (esp. SaaS/identity) = blind AI.
• Response isn’t autonomous; human gating needed.

Exabeam pricing:

• Starts at ~$75K/year.
• Bulks to $127K–$355K depending on data and features.

Exabeam sees behavior. It maps timelines. It adds AI copilots to the mix. But when SaaS gaps or identity weirdness fly under the radar, just remember that the average U.S. breach cost is over $10M. That’s the fine print when AI needs a second opinion.

Exabeam: 9 Alternatives That Might Do It

Deep AI SOC Cuts… this is where the slideware meets reality. Every vendor’s got a pitch, but the real story is in the cracks, the blind spots, the fine print, the “oh sh*t” moments you only see mid-breach. Let’s cut it open.

Blumira: The SMB Sweet Spot

Blumira is a SIEM + XDR platform built for small teams. It’s known for fast deployment and a simple UX, making Blumira Security attractive to IT managers without full-time SOC staff.

The promises:

• Deployed in hours with guided config.
• Automated detection, response, and compliance with 24/7 monitoring.
• Prioritized alerts that cut noise and reduce missed threats.
• Endpoint visibility and a lightweight agent.
• Prebuilt playbooks.

Blind spots:

• Not made for enterprises.
• Limited in advanced hunting or long-tail threats.
• 24/7 SecOps helps, but not a full MDR team.

Blumira pricing is $1K/year and scales up to $24K/year, depending on team size and use case. 

• Most customers land in the $12–21 per user/month range. 
• There’s also a free SIEM tier, which makes it easy to test before committing.

Blumira can handle the everyday noise: quick wins, compliance checks, and catching the low-hanging fruit. What it won’t handle is the sneaky stuff: long-tail intrusions, lateral movement, and the kind of edge cases where you need real hunters in the loop.

Anvilogic: The Detection-as-Code Engine

Anvilogic is a modular detection engineering layer built to run on top of whatever SIEM or data lake you already use. Think GitHub Copilot, but for SOCs.

The promises:

• AI-led Detection-as-Code builder across Splunk, Sentinel, Snowflake, and more.
• Agent-led threat mapping: find your telemetry gaps, align with TTPs, and recommend what to build.
• Prebuilt content (2,500+ detections) and lifecycle management for tuning, rollout, and version control.
• Works with your stack: improve detection while keeping existing SIEM/lake and reducing cost.

Blind spots:

• No response, no SOC-as-a-Service, just detection content.
• Still depends on your telemetry quality.
• You still need engineers. This is augmentation, not replacement.

Anvilogic pricing starts around ~$65K/year for 1,000 GB/day Snowflake workloads.

Anvilogic won’t stop an attacker. But it will help you build better detectors that might.

ReliaQuest: The AI-Boosted SecOps Engine

ReliaQuest’s GreyMatter platform is what the company calls its agentic AI SOC. Think of it as an AI-driven security platform that plugs into your stack and automates SecOps work.

The promises:

• AI “teammates” that triage, correlate, and contain threats.
• At-source detection: no need to centralize logs to start finding threats.
• Universal Translator stitches together fragmented telemetry into unified detection.
• Works with your stack: Splunk, Sentinel, CrowdStrike, etc.

Blind spots:

• Not a traditional MDR: no humans on call if you expect a 1:1 analyst.
• Response playbooks are AI-run, but not fully customizable.
• Still needs your telemetry to be clean and connected.

ReliaQuest pricing is around $1.2M/year, average lands near $172K, although they show no pricing on the website.

GreyNoise: The Triage Filter

GreyNoise doesn’t detect threats; it tells you what isn’t one. Marketed as a threat intelligence platform, it acts like a contextual filter that helps your SOC skip internet noise: scans, sprays, bot crawls. In practice, GreyNoise Intelligence is more about context than alerts.

The promises:

• Global passive sensors catch opportunistic scanners before they flood your SIEM.
• Real-time tagging: IPs get labeled benign, common, malicious, or “who knows.”
• API and integrations with Splunk, XSOAR, TIPs, and more. Easy to operationalize.
• Live CVE exploitation intel: what’s actually being hit in the wild.
• Use tags to power hunting, blocklists, alert suppression, or “ignore this” logic.

Blind spots:

• Not detection. Not a SOC. Just an IP enrichment layer.
• Misses stealthy actors and anything that’s quiet. Targeted attacks fly under this radar.
• If your telemetry is junk, GreyNoise won’t polish it. No magic here.

GreyNoise pricing:

~$6K–$36K/year depending on scale (data from 2023). Free community tier for hobbyists and hackers. Free API available if you’re just testing the waters. No public price list, quote required

It’s the noise-canceling for your SOC headphones, great at silencing junk. But if something sneaks through, below the threshold, keep this in mind: the global average breach still runs $4.45M. That’s what happens when the signal you needed… never made a sound.

Anomali: The Stack Replacement

Anomali is a cloud-native threat intelligence platform that positions itself as full-stack cybersecurity infrastructure. The pitch: replace your SIEM, XDR, SOAR, UEBA, TIP, and log pipeline in one swoop, backed by AI and a petabyte-scale data lake.

The promises:

• One platform for detection, threat intel, enrichment, correlation, and analytics.
• Built-in AI copilot to summarize, prioritize, and recommend actions across your threat workflow.
• No parsing, indexing, or waiting: search petabytes in seconds.
• Integrates intel with internal telemetry for real-time risk scoring and decision support.
• Works out of the box with Microsoft, Splunk, and other ecosystems.

Blind spots:

• You’re going all-in. Anomali is your new stack.
• AI copilot still needs operators. This is speed, not substitution.
• Less known for response automation: prioritization is strong, containment depends on your stack.

Anomali pricing runs at ~$93K/year on average, with some topping out around $180K, no pricing on their site, though. No price listing on their website.

Logpoint: The Audit Specialist

Logpoint is an EU-centric SIEM with integrated SOAR and UEBA. Built for compliance-first orgs. Tailored especially for MSSPs and public sector organizations.

The promises:

• Unified visibility across SIEM, NDR, and EDR.
• Open platform. No vendor lock-in.
• EU-built, GDPR-ready, on-prem or EU cloud.
• Playbooks and workflows for faster response.
• Visual graphs, context, and case management.

Blind spots:

• Still needs parsing, tuning, and content engineering.
• Weak on identity fraud, OAuth abuse, and business logic attacks.
• Alert quality tied to telemetry. Bad input = bad outcomes.
• Humans still make the tough calls (fraud, MFA fatigue).

Logpoint pricing:

Public Sector Example: €20 per node/employee or €1.67 per entity (with defined minimums). Mid-market SIEM tier.

If your board pressure is audits, Logpoint works. But when someone logs into payroll from São Paulo with the CFO’s token? You’ll want something else.

SOC Prime: The Detection Content Factory

The SOC Prime platform isn’t a SIEM, XDR, or MDR. It’s a threat detection marketplace. Built for content engineering teams that want to stay ahead of threat actors without rebuilding detections from scratch.

The promises:

• World’s largest Sigma rule marketplace: 500K+ mapped to MITRE ATT&CK.
• Write once, deploy anywhere: Uncoder AI auto-translates rules into 40+ SIEM/EDR syntaxes.
• Instant detection content for new CVEs, APTs, and exploits.
• Roota open-source language that wraps legacy query formats.
• Threat Bounty program crowdsources detections from the global community.
• Zero data sharing: all algorithms, no telemetry collection.

Blind spots:

• No triage, SOAR, or containment. This is logic, not execution.
• Content still needs tuning for your log sources and environments.
• No native alerting or correlation, relies fully on your stack.

SOC Prime pricing: ~$1.7K/year for solo users. Enterprise plans can run well past $100K/year, depending on scale and stack. No public price sheet, quote required.

If your SecOps stack is a car, SOC Prime is the fuel. But it’s not going to drive for you, park for you, or call 911 when you crash.

Wirespeed: The MDR Accelerator

Wirespeed is a ChatOps-heavy, threat detection platform. It’s not pretending to be a SIEM or a detection engine. Instead, it acts as a contextual verdict layer: a kind of network visibility and monitoring add-on that asks your users for input and responds if needed. 

The promises:

• Millisecond verdicts on alerts.
• Built-in user outreach via Slack, Teams, email, or SMS.
• Zero setup pain: 20-minute onboarding, no dashboard sprawl.
• Automated containment with optional human sign-off.
• Contextual triage: knows your VIPs, asset sensitivity, and config changes.

Blind spots:

• It depends entirely on your upstream EDR and SIEM alerts.
• No hunting, this is containment-only.
• Doesn’t help if your telemetry is misconfigured.
• “We ask your users” sounds cool until your execs get flooded mid-flight.

You’ll either love Wirespeed’s speed or fear it. Ask what happens when it resets your CFO’s Okta role.

Wirespeed pricing:

$1,149/month for up to 100 employees. Simple, flat pricing. Free trial available.

Hunters Security: The Autopilot SIEM for Small SOCs

Hunters sells an AI-driven SIEM and SOC platform for smaller teams that deploys in days and comes preloaded with content. No rule-writing, no tuning, no pipeline babysitting. Just ingestion → detection → response.

The promises:

• Fully managed detections for identity, endpoint, cloud.
• Hunters AI SOC handles triage and investigation: scores, correlates, and enriches alerts on its own.
• One platform: SIEM, UEBA, response, all bundled.
• No content engineering needed.
• Works with your stack: SentinelOne, Defender, Okta, AWS, GCP, etc.

Blind spots:

• You don’t write the detections. Great for speed, bad for nuance.
• Want to tweak logic? Too bad, it’s not yours.
• Looks like a SOC, but there’s no human MDR team. This is autopilot, not co-pilot.
• Response is automated, but basic. Real-world edge cases (e.g., finance apps, OAuth abuse) still need a human.

Hunters Security pricing:

They offer three plans (Essential, Complete, and XL), starting with 90-day retention and scaling to 1+ years. Priced by either data volume ($/GB) or by entity count. Includes hosted Snowflake and auto-investigation across all tiers.

If your team is small, your stack is standard, and you just want alerts investigated, Hunters can do it. But if you need fine-grained control, cross-stack correlation, or deep response logic, you’ll hit its ceiling fast.

80% Safe Means 20% Wide Open

AI SOC vendors love to say, “We cover 80% of threats.” That leaves 20% wide open. And that’s exactly where the breaches come from. The edge cases, weird behavior, insider missteps, SaaS misconfigurations, and identity gaps that AI can’t grasp.

One client came to us just wanting SIEM for compliance. During onboarding, we found 11 mission-critical servers already infected with Cobalt Strike beacons. No alerts, just attackers sitting in the dark, waiting. Within 24 hours, our MDR team contained and cleaned it up, avoiding what would’ve been a $650K loss.

That’s the part AI alone misses.

You don’t need an autopilot SOC. You need a co-pilot who knows when something smells wrong.

Full-Blown MDR That Fills the Gaps

UnderDefense MDR is a 24/7 elite cyber team, watching your whole stack with AI in one hand and deep threat intel in the other.

We bring what AI SOCs lack:

• Human-driven hunting. Judgment, curiosity, and the ability to see what AI doesn’t.
• No rip-and-replace. We make your SIEM, EDR, and cloud tools work harder instead of throwing them away.
• Purple teaming. Constant stress tests so your defenses don’t just look good on paper, they hold up under fire.
• Incident response muscle. When something’s burning, we don’t escalate a ticket; we put out the fire.
• 360° visibility. Endpoints, SaaS, identities, networks, cloud, Kubernetes. No blind corners.
• Compliance in a box. SOC 2, ISO 27001, GDPR, all baked in as we secure the real threats.
• Threat intel mapped to you. Not what’s “trending globally,” but what’s actually knocking on your doors.

Get a human-led, always-on SOC. UnderDefense delivers human investigations, 24/7 response, and measurable MTTR reductions.