Close regulated security deals with AI
- with proof customers can approve
Realm helps you close regulated deals by delivering approval-grade evidence and an inside-perimeter SOC copilot.
The Deadlock
Your regulated customers are stuck - and it's blocking your deals.
"Send us your logs" is a non-starter
Why: Security telemetry contains identifiers, tokens, embedded secrets, and sensitive behavioral context. Regulated customers can't export raw logs - even with SOC2/ISO in place.
Consequence: MDR deals stall in TPRM review. Onboarding takes months instead of weeks.
AI for SOC is blocked by governance gaps
Why: 34% of organizations have no GenAI policy - so approvals default to "no" for cloud AI on sensitive telemetry.
Consequence: SOC productivity stays flat. Deals move to vendors with an approval path for AI-in-SOC.
TPRM requires evidence, not assurances
Why: Regulated customers need proof, not promises. Questionnaire response takes ~12 days on average.
Consequence: You rebuild trust collateral for every customer. Deals that should close in weeks take quarters.
Realm provides the evidence and controls needed to move forward.
What You Get
Two tracks - one platform. Realm gives your customers Cold AI (governance foundation) and Hot AI (SOC productivity) - both running inside their perimeter.
Governance & Evidence
For your customers' compliance teams.
| Privacy-Transformed Telemetry | Share-ready outputs produced inside customer perimeter, with sensitive elements protected and detection signal preserved |
| Privacy / Utility Metrics | Quantified tradeoffs: residual disclosure risk vs. analytic value |
| Attack Validation Results | Resistance to re-identification, membership inference, linkage attacks |
| PAMOLA Evidence Pack | Review-ready evidence for customer TPRM, DPO, and governance sign-off |
Outcome: Customer compliance approves log sharing and MDR onboarding.
SOC Copilot
For your customers' security operations teams.
A copilot inside enforced policy: every action checked before it executes, every decision traced.
| Alert Triage Assistant | Prioritize and contextualize alerts using customer's own telemetry |
| Incident Summarization | Generate investigation summaries with full audit trail |
| Response Playbook Execution | Policy-bound automation with deterministic policy verdicts |
| Decision Trace | Every AI decision documented - reproducible for forensics and compliance |
Outcome: SOC productivity gains (~30% MTTR reduction reported in published studies; results vary) - with a governance path customers can approve.
Evidence Pack Structure
- Data-flow and scope summary
- Residency statement
- Transformation configuration + run metadata
- Control mapping outline
- Approvals trail (where applicable)
SOC Copilot Governance
- Recomputable decision logs
- Decision trace for every recommendation
- Policy-bound execution (no autonomous actions)
- Inside-perimeter deployment
Continuous evidence, not an approval snapshot. Most governance evidence is point-in-time: a project is approved, a certificate is filed, and the artifact ages from that day. Every governed action here emits a trace in production - a stream your team can watch, alert on, and investigate - and any verdict stays recomputable offline weeks later from the same inputs and policy version.
Deployment: Customer VPC / sandbox / on-prem. By default, no raw telemetry egress. Optional support channels can be scoped by customer policy.
How Partners Use Realm
Three scenarios where Realm helps you close deals and expand engagement.
Unblock MDR/SOC Onboarding
The situation:
Regulated customer wants your MDR service but refuses to export logs. TPRM review has stalled the deal for months.
What Realm does:
PAMOLA transforms telemetry inside customer perimeter - no raw data leaves. Delivers privacy-safe outputs + metrics + validation + Evidence Pack.
Who signs off: Customer CISO + TPRM + Privacy/DPO
What you get: Deal unblocked. Differentiated onboarding.
Expansion: Deploy AYITA SOC Copilot for ongoing operations.
AI-Powered SOC for Regulated Customers
The situation:
Customer's SOC team wants AI assistance for alert triage and incident response. Cloud AI is blocked - sensitive telemetry can't leave perimeter.
What Realm does:
AYITA SOC Copilot runs inside customer environment on their actual telemetry. Delivers deployed copilot + decision trace + governance documentation.
Who signs off: Customer CISO + Security Ops + Compliance (often with Privacy/DPO)
What you get: Differentiated managed service. Stickier relationship.
Foundation: If governance isn't established, start with PAMOLA sprint.
Cross-Customer Detection Engineering
The situation:
You want to improve detection rules using patterns across customers - but can't aggregate raw telemetry without exposing individual environments.
What Realm does:
PAMOLA enables privacy-preserving feature extraction and aggregation. Delivers transformed outputs + per-customer evidence packages.
Who signs off: Your Product/Engineering + Customer Security + Privacy (often Legal)
What you get: Better detectors. Scalable improvement without customer-by-customer negotiation.
Partner Engagement Model
Start with a workshop - no formal partnership required.
Workshop
Host a 60-minute workshop for your regulated customers on AI governance. We deliver content, demo, and artifact outline. You get lead gen and "trusted advisor" positioning.
Customer Sprint
For customers who engage: deploy inside their perimeter. 30-45 days. Transform → Measure → Validate → Package. Produce governed telemetry outputs + Evidence Pack.
Expand to SOC Copilot
Once governance foundation exists, deploy AYITA for ongoing SOC operations. Policy-bound. Deterministic. Auditable. Inside perimeter.
Entry Offers by Speed-to-Value
| Offer | Timeline | What Customer Gets |
|---|---|---|
| Joint Workshop | 1 day + follow-up | AI governance content + demo + artifact outline |
| TPRM Acceleration Pack | 2-3 weeks | Questionnaire-ready evidence bundle for faster onboarding |
| Privacy/Residency Validation | 2-4 weeks | Review-ready evidence that data stays local |
| SOC Copilot Pilot | 4-6 weeks | Controlled deployment + MTTR measurement |
Why Partner With Realm
What's in it for you.
Unblock Stuck Deals
Regulated prospects want MDR but can't approve log sharing. Realm clears the TPRM gate.
Differentiated Positioning
In-perimeter enforcement combined with a verdict a reviewer can independently recompute - with no vendor in the room.
Premium Value
Evidence-backed MDR for regulated environments commands higher margins.
Expansion Pipeline
Once telemetry is governed, expand to AI-enabled SOC workflows (AYITA).
Low Barrier to Start
Begin with a workshop - no integration or formal agreement required upfront.
Regulatory Alignment Support
Maps evidence artifacts to common regulatory and procurement expectations - helping your customers prepare for internal governance and external reviews.
Frameworks Realm helps your customers map evidence to. Badges indicate control-mapping support, not certification held by Realm.
NIS2 / DORA
Supports evidence packaging for governance, incident reporting workflows, and third-party risk review packages.
NIST CSF
Supports artifact mapping to Govern, Map, Measure, Manage functions.
ISO 27001 / SOC 2
Supports review-ready evidence artifacts aligned to common control expectations.
GDPR
Supports privacy documentation when telemetry contains PII (user IDs, IPs).
34%
of organizations have no GenAI policy
- Splunk State of Security 2024
~12 days
average vendor questionnaire response time
- Whistic 2025
99%
of orgs running AI experienced attacks on AI systems
- Palo Alto Networks, Dec 2025
>90%
of cybersecurity spending involves partners
- Canalys Matrix, Mar 2025
~30%
MTTR reduction observed with GenAI copilots
- Microsoft Research, Nov 2024
Help your customers unblock AI - and close more deals
Host a workshop for your regulated customers. We bring the content, demo, and artifact outline. You get pipeline. They get governance clarity.
What they leave with: A clear approval path + artifact outline they can take to their compliance team.
60 minutes. No commitment. Real value for your customers.