Use cases
The AI does the work faster. Verdikor shows the work holds up.
Different teams ask the same question in different words: can we trust what the AI just told us, and can we show someone else why.
MSSPs and MDRs
Four SIEMs, three AIs, one report for your customer.
The problem
Every customer runs a different SIEM, and you are trying more than one AI. Each vendor grades its own AI. You can't show a customer, in one consistent way, that the AI working their alerts was right.
With Verdikor
One verification layer across every tenant and every AI, with each tenant isolated in the database. The same query check and claim check whatever the SIEM, and a verification report per customer that you can hand over as part of the service.
What you can show
Share of claims verified, contradicted and AI-generated, per customer and per AI, measured on their cases rather than on a vendor's benchmark.
Regulated industries
When the auditor asks what the AI did.
The problem
Banks, insurers, healthcare and public sector are adopting AI in the SOC, and auditors are starting to ask three questions: what did the AI do, based on what, and who allowed it. Logs of prompts don't answer them.
With Verdikor
Every query, result and approval is recorded in a hash-chained ledger with signed daily checkpoints. Lessons the AI proposes need a named approver and expire.
What you can show
A verification report the auditor can check with a free tool, without trusting us. Mappings to ISO/IEC 42001 and SOC 2 are on the roadmap.
SOC teams building their own
Stop maintaining your own grounding layer.
The problem
Many teams wire AI to their SIEM themselves, then spend their time on query parsers, schema drift and audit logs instead of detection. Many give up.
With Verdikor
Query lint against your tenant's real schema, and a tamper-evident ledger of every AI tool call, running in your own infrastructure.
What you get
A free Community Edition is planned. Until then, the early access program is the way in.
Onboarding analysts
Your SOC's know-how, available from day one.
The problem
Every SOC has its own assets, exceptions and ways of closing cases. Most of it lives in senior analysts' heads and old chat threads, so new analysts spend weeks asking around or guessing.
With Verdikor
What your team approves for the AI (lessons, sample queries, schema, past decisions) becomes knowledge a new analyst can ask about. Every answer links to its source, and explain mode walks through queries step by step.
What you can show
How quickly new analysts close cases on their own, and how often they rely on knowledge the team has already approved.
By role
What each person in the room gets.
CISO
Prove that the AI in your SOC did the right thing, or see exactly where it didn't, on every SIEM and every AI you run.
SOC lead
The AI stays as fast as it is. Deciding whether to trust a report becomes a short review instead of a re-investigation.
Analyst
Every sentence the AI writes has one click to the exact raw row behind it.
New analyst
Ask how your SOC handles something and get an answer backed by what the team has approved.
Auditor and GRC
A signed verification report with a self-checking hash chain.
AI SOC vendors
Your customers can show their boss that your AI earns its keep. We don't investigate and we don't compete with you.
Early access
Run Verdikor on your own cases.
We're working with 3 to 5 design partners: MSSPs running several SIEMs, and banks or insurers using AI with any SIEM.