If you’re looking at alternatives to Radiant Security, start with fit. The stack you run, the tenants or business units you cover, the evidence your auditors will ask for, and how much of your current tuning survives the move decide more than any feature grid.
This page covers what Radiant Security does, how the main replacement options compare side by side, the six criteria that separate them once you get past the feature grid, and what a migration involves. It’s written for the person running the evaluation.
What Radiant Security does
Radiant Security is a security operations product that applies AI to the work between an alert firing and an analyst reaching a verdict: sorting what came in, investigating it, and in many deployments the containment action that follows. It’s sold to enterprise security teams running an in-house SOC and to managed providers running security operations for their own clients. The category has several names in circulation. AI SOC, agentic SOC and autonomous SOC all describe the same ambition: cut the number of alerts a human has to open, and shorten the time between a signal appearing and someone knowing what it means.
Platforms sharing that label differ far more than the label suggests, which is the whole reason a replacement decision is worth doing carefully rather than quickly.
First decide what you are replacing
Most teams start this evaluation looking for a like-for-like swap, and most of them find, part way in, that they were only ever automating one function.
A security operation runs five functions: threat intelligence, threat hunting, detection engineering, investigation and remediation. Most AI SOC tools reach into one of them, and usually only the front of it, the triage step where an alert gets sorted before anyone investigates it properly. In most SOCs the other four run on their own tools, their own cadence and often their own people, so nothing an investigation learns on Tuesday reaches the detection logic before the following month. That gap is where the same incident pattern gets investigated three times.
So the first question in a replacement decision is one of scope. Are you buying back analyst hours on triage, or are you closing the loop between the functions so the work compounds? Both are legitimate purchases. They’re different purchases, and a shortlist that mixes them will compare badly.
This is also where the word resilience gets confusing, so it’s worth being exact. In IT it usually means backup and restore. In security operations it means something narrower and more immediate: how fast you detect, how fast you contain, and how much impact you limit while an attack is still unfolding. That’s the outcome the platform is being bought for.
Three options, side by side
| Alert triage tool | Managed detection and response | Full lifecycle platform | |
|---|---|---|---|
| What it covers | Triage and investigation of alerts your tools already raised | Monitoring, triage and escalation performed by the provider’s analysts | Threat intelligence, threat hunting, detection engineering, investigation and remediation as one connected system |
| Who investigates | Your team, assisted | The provider’s analysts, under the contracted service level | Agents run the investigation, your team decides |
| Context it reasons from | Generic threat patterns plus whatever the alert carried | The provider’s cross-client experience | A model of your own environment, assets, identities and normal behavior, built and kept current |
| What happens after containment | Handed back to you | Returned to you through the agreed escalation path | Remediation planned, executed within scope, then verified |
| Can you reconstruct a verdict later | Varies. Often a confidence score and a summary | The provider’s case notes | Every query, hypothesis and decision recorded and replayable |
| What improves over time | The vendor’s model, for everyone | The provider’s practice, across its whole client base | Your detections and your environment model, from your own outcomes |
| Who holds authority to act | Usually the human, at every step | The provider, inside contracted scope | You define it, per action, and widen it once performance is validated |
| Fits your existing stack | Depends on connector coverage | Shaped by the provider’s supported tooling | Runs across the stack you already own |
Use this to place your shortlist before you compare features. Products in different columns are answering different questions, so a shared feature grid tends to flatter whichever one wrote it.
The six criteria that decide a replacement
1. Autonomy, and where the authority actually sits
Every platform in the category claims automation. The question is where the human sits and who decides that.
Some tools automate enrichment and hand a human the verdict. Some close alerts on their own inside a confidence threshold. Some act, containment included, and record what they did. None of those is correct in general. What matters is whether the boundary matches your risk tolerance and your staffing today, and whether you can move it later without another platform change.
The strong version of this is graduated: start with a human approving each consequential action, then widen the agent’s authority action by action once its performance on your alerts has been validated. Ask for the exact list of actions the system takes without a human, the exact list it never takes, and who changes that list.
2. Whose context the investigation reasons from
This separates platforms more sharply than anything else and appears on the fewest comparison tables.
An investigation is only as good as the context behind it. A platform reasoning from generic threat patterns reaches generic conclusions. Whether that’s good enough in your environment is a question to settle by testing rather than by reading a datasheet. A platform that has codified your assets, your identities, your service accounts and your normal behavior asks different questions, because it knows what unusual looks like in your environment specifically.
Look for how that context is built and how it stays current, and for whether the platform tests competing explanations rather than confirming the first one. A benign explanation that fits the evidence should be able to close the case, and you should be able to see that it was considered.
When you test a replacement, don’t test it on a curated sample. Run it on a period of your own alerts where you already know the answer, including the ones your current tooling closed as benign.
3. Whether you can reconstruct a verdict six months later
Two things will eventually make you explain a decision the platform made: an audit, and an incident that went badly. Both arrive long after the analyst on shift has forgotten it.
The test is whether you can take a case closed six months ago and walk it backward, whatever the vendor calls the system: every query it ran, every piece of evidence it weighed, every hypothesis it tested and ruled out, and why it concluded what it concluded. If what comes back is a confidence score and a summary, you have a black box with good manners.
4. When the evidence is not there
This one almost never makes the shortlist and it should.
Investigations run into missing telemetry constantly: a log source that was never onboarded, a retention window that expired, an endpoint outside the agent estate. The weak behavior is to reason past the hole and present a clean verdict anyway. The strong behavior is to name the gap, say what it would have contributed, and treat it as unknown rather than as nothing.
That difference compounds. A platform that reports its blind spots gives your detection engineering a prioritized work list. A platform that quietly fills them gives you confident answers with no way to tell which ones were guesses.
5. Multi-tenancy, if you carry other people’s environments
For a managed provider this sits at the architecture level, beneath every feature conversation. The questions are concrete. Does each tenant hold its own model of normal, or do they share one? Can a tenant’s data or detections reach another tenant’s investigation? How long does onboarding one tenant take, in hours rather than in a phase name? Can you report per tenant without rebuilding the report each time?
An enterprise with several business units, subsidiaries or regulated regions should ask the same questions. The requirement doesn’t change just because nobody uses the word tenant.
6. How much of your stack and your tuning survives
The platform has to work with the stack you already own. The honest measure is whether your specific SIEM, EDR, identity provider and ticketing system are covered, and what breaks when one of them changes. The number on the integrations page says less.
Underestimated every time: how much of what you have built transfers. Detection logic, suppression rules, enrichment, the accumulated tuning that keeps your team above water. Some transfers, some gets rebuilt, and a vendor who says all of it transfers hasn’t looked at your environment.
What a migration actually involves
Platform migrations in this category follow a recognizable shape. Knowing it makes the timeline conversation easier to have.
Connect telemetry first, alongside the incumbent. The new platform reads from the same sources as the incumbent. This is usually the fastest part and it can run while the old platform is still live, which is what keeps you covered through the change.
Inventory what doesn’t transfer. Detection content, suppressions and response actions are where the real work sits. Take the inventory before you start. Most teams find that a meaningful share of their tuning exists only in someone’s head.
Run both in parallel, briefly. Overlap is the safety mechanism. Both platforms see the same alerts, you compare verdicts, and the disagreements are the most valuable output of the whole migration, because each one is either a gap in the new platform or a gap you’ve been living with.
Cut over deliberately, and keep the old evidence. Put the export of closed cases and investigation records on the cutover plan as a named step with an owner. Audit obligations don’t migrate with the platform, and historical records are the easiest thing to overlook during a changeover and among the first things asked for later.
For a managed provider, sequence tenant by tenant rather than moving the estate at once. Start with a tenant that is representative but forgiving, learn on it, and let each cutover after that get faster.
Comparing the alternatives themselves
Rather than restate a vendor list that already exists, the current comparison lives here: Top 10 AI SOC Agents, Platforms and Solutions in 2026. It compares platforms on autonomy level, AI architecture, integration approach and pricing model.
Read it with two things in mind. Vendor-published comparisons, ours included, place the publisher favorably, so use it for the capability axes rather than the ranking. And test the two or three you shortlist on your own alerts, because that’s the only comparison that reflects your environment.
Where Conifers fits
Conifers builds CognitiveSOC™, the platform behind resilient cyber defense. What that delivers is narrower and more useful to say out loud: detect fast, contain fast, limit impact. It runs as an operational fabric across the security stack an organization already owns, connecting threat intelligence, threat hunting, detection engineering, investigation and remediation.
In practice that means what one function learns doesn’t stop there. A hunt finding becomes a detection. An investigation that ran into missing telemetry becomes a coverage item. A remediation that worked becomes context for the next incident of the same shape. That’s the difference between five tools that exchange data and one system that compounds what it knows about your environment.
Four properties matter to a replacement decision specifically.
- It runs on your existing stack. More than 90 integrations across the tools most SOCs already have, with data queried where it lives rather than copied into a new store. That shortens the migration, because the telemetry layer is the part that moves fastest. Onboarding takes 2 to 4 hours.
- Investigations are grounded in your organization. Each environment, and for a provider each tenant, keeps its own institutional intelligence: a working model of the assets, identities and behavior that make it different. A verdict reflects your context rather than a shared playbook.
- The reasoning stays on the record. Each query, each hypothesis tested and ruled out, and each decision is recorded, so a case can be walked backward months later and handed to an auditor as a defensible record. Where the evidence was not there, the platform says so instead of reasoning past it.
- You set the authority, and widen it on evidence. Actions run inside permissions and approval thresholds you define, with rollback. Autonomy widens once the platform has proved itself on your own alerts, not because a vendor asked you to trust it.
Four Conifers measurements are worth having in front of you during an evaluation. These are Conifers’ own measurements, and the first two are the kind a proof of concept on your own alerts will either confirm or not.
Across roughly 500,000 investigations, accuracy came in better than 99%, with an average investigation running about four minutes. That corresponds to an 87% reduction in investigation time. And in a production evaluation at a 60,000-person organization, six active compromises were uncovered that existing tools and analysts had missed, with a median time from detection through investigation, containment and validation of under ten minutes.
Frequently asked questions
What are the main alternatives to Radiant Security?
The realistic options fall into three groups: another alert triage tool, a managed detection and response provider who runs the work for you, and a full lifecycle platform that connects threat intelligence, hunting, detection engineering, investigation and remediation. The side by side above places them against each other. Which group is right depends on whether the goal is buying back analyst hours or closing the loop between functions.
How long does it take to replace an AI SOC platform?
Two different clocks get confused here, so separate them before anyone quotes a timeline. Connecting a new platform to your telemetry is the short one. Rebuilding what does not transfer is the long one, and it’s the only one that varies much: it depends on how much of your detection content and tuning is written down rather than carried in someone’s head. Teams that take that inventory before they start move considerably faster than teams that discover it mid-migration.
Can we run two AI SOC platforms at once?
Yes, and briefly you should. Parallel running is how you avoid a coverage gap during the change, and how you find out whether the new platform agrees with the old one on real alerts.
What happens to our historical investigations?
Plan the export as a step in the cutover, with a named owner. Closed cases, investigation records and audit evidence generally don’t transfer between platforms, and they’re usually the last thing anyone thinks of.
Do we have to replace our SIEM as well?
Not necessarily, and be skeptical of a platform that requires it. A platform that runs across your existing stack keeps the migration to one moving part.
Is an AI SOC the same as MDR?
No. MDR is an outsourcing model where a provider’s analysts investigate on your behalf. An AI SOC is a platform your own team operates. For providers weighing the two models, see How MSSPs Evaluate AI SOC Platforms and MDR vs MSSP.
What should we ask a vendor in a proof of concept?
Ask for the exact list of actions the system takes without a human and the exact list it never takes. Ask to see a closed investigation walked backward, query by query. Ask what it does when the telemetry it needs is missing. Then run it on a period of your own alerts where you already know the answer.
Test it on your own alerts
The evaluation that settles a replacement decision is a run against your own alerts, with your own team reading the investigation trail.