Aggregated compliance across your sector. AI that drives uplift - not just measures it. Each entity gets its own workspace, its own compliance journey, its own instant feedback. You see everything from one dashboard.
You supervise dozens, hundreds, or thousands of entities. Each one submits documentation on different timelines, in different formats, with different levels of quality. Your team reviews them one at a time. The feedback cycle takes weeks or months. By the time an entity receives your assessment, their posture has already changed.
The fundamental problem is structural: traditional regulatory oversight scales linearly with the number of entities you supervise. More entities means more assessors, more review cycles, more time between submission and feedback. The entities that need the most help wait the longest for it. And the systemic patterns that matter most - the gaps that exist across your entire sector - are invisible when you're reviewing one entity at a time.
CyberHeed changes the model. Instead of entities submitting documentation for your team to review, entities go through a structured AI-guided process that provides instant feedback, builds genuine understanding, and surfaces compliance posture in real time. Your team shifts from manual review to strategic oversight - identifying patterns, running thematic assessments, and focusing attention where it matters most.
One dashboard. Every entity. Every framework. Real-time visibility into who's on track, who's falling behind, and where the systemic gaps are across your entire portfolio of regulated entities.
See compliance posture across every entity you supervise, aggregated by framework, by domain, by maturity level. Identify patterns that no single-entity assessment would reveal. When 60% of your entities have weak incident response, you see it immediately - not after reading sixty individual reports.
The aggregated view transforms your oversight model from reactive (reviewing submissions) to proactive (identifying sector-wide gaps and issuing targeted guidance). This is the difference between knowing what individual entities told you and knowing what your sector actually looks like.
From the aggregated view, click into any entity to see their specific posture: which controls are satisfied, which have gaps, what evidence they've submitted, what the AI assessed. Full transparency without requiring each entity to send you a separate report.
Entity-level views include maturity trajectory over time, outstanding remediation items, SmartPrep completion status, and evidence quality scores. You have the context for any conversation with any entity, without advance preparation.
Track how each entity's posture changes over time. Not just where they are today, but whether they're improving, stagnating, or declining. Maturity trajectory is often more telling than current state - a low-maturity entity on an upward trend is very different from a medium-maturity entity on a downward one.
Filter by entity size, sector segment, framework, region, or any dimension relevant to your oversight model. Compare entities against each other. Identify outliers - both positive and negative. The data supports the questions you need to ask, not the questions the platform anticipates.
Your entities don't just submit documentation to satisfy a regulatory requirement. They go through a structured process that builds genuine understanding of their own security posture. The compliance exercise becomes a capability-building exercise.
This is the most significant shift CyberHeed enables for regulators: the entities you supervise don't just comply better - they understand better. When an entity's IT manager goes through SmartPrep conversations about incident response, they don't just produce a document. They think through what would actually happen during an incident. That process builds the kind of organisational awareness that prevents incidents - which is, ultimately, what regulation is trying to achieve.
Each entity gets a fully isolated workspace. Their data, their frameworks, their dashboards, their evidence. They can't see other entities. You can see all of them. This is native multi-tenancy - not shared folders with access controls bolted on. Each entity's data is architecturally isolated from every other entity's data.
15 AI-guided conversations covering every domain their target framework requires. The AI adapts based on each entity's specific answers, follows up on gaps, catches inconsistencies. Entities don't need compliance expertise on staff - they need someone who knows how their organisation actually operates. SmartPrep extracts that knowledge and structures it.
For smaller entities with limited IT resources, this is transformative. They don't need to hire a consultant to understand what the framework requires. The AI guides them through it, explains what's being asked, and generates documentation from their answers.
When an entity uploads evidence, the AI reads it and provides specific feedback within minutes: what the evidence covers, what it's missing, what would make it stronger. The entity improves its own documentation iteratively, not in response to your review cycle months later. By the time you look at their posture, they've already been through multiple rounds of AI-driven improvement.
The process itself builds understanding. When an entity's IT manager goes through SmartPrep conversations about incident response, they don't just produce a document - they think through their incident response capability. When the AI challenges their evidence, they don't just fix the document - they fix the underlying control. The compliance process drives real security improvement.
Traditional regulatory oversight means periodic assessments, manual reviews, and months between an entity submitting documentation and receiving feedback. CyberHeed changes the model.
The shift from periodic to continuous changes everything about how regulatory oversight works. Instead of asking "were you compliant when you submitted this?" you're asking "what is your posture right now?" Instead of reviewing documentation that may already be outdated, you're looking at current compliance data. Instead of issuing findings six months after the assessment, you're seeing improvements as they happen.
The AI responds to each entity in real time. When an entity uploads evidence or completes a SmartPrep conversation, they get specific, actionable feedback within minutes. They don't wait weeks for your review cycle. This compresses the improvement timeline from months to days - and frees your team from the manual review burden that scales linearly with the number of entities you oversee.
When 60% of entities have weak incident response, CyberHeed surfaces it. Not as a finding you discover after reading sixty reports - as a pattern visible in your aggregated dashboard. Systemic gaps become visible at the sector level, enabling targeted guidance that addresses the root cause across your entire regulated population, not one entity at a time.
Run focused assessments across all entities on any topic: ransomware preparedness, third-party risk, access control maturity. CyberHeed supports thematic reviews as a first-class capability - define the assessment criteria, apply it across your portfolio, and see the results aggregated. What would take your team months of entity-by-entity assessment becomes a structured, platform-driven exercise.
Global standards. Local frameworks. Or your own custom regulatory requirements. CyberHeed supports any compliance framework, including bespoke frameworks you define. If your regulatory model includes specific requirements that don't map to ISO 27001 or Essential Eight, you can build them into the platform and assess your entities against them alongside standard frameworks.
Every entity's data is architecturally isolated. Per-organisation data boundaries. Role-based access controls. Full audit logging on all administrative actions. Australian data residency.
Data isolation is not a feature - it's a structural requirement for regulatory use. Each entity operates in a fully isolated workspace. Your regulatory view aggregates across those workspaces without exposing any entity's data to any other entity. The isolation is enforced at the platform level, not through access controls layered on top of a shared database.
- Per-entity isolated workspaces
- Real-time posture dashboards
- Any framework supported
Banks and financial institutions managing CPS 234, CPS 230, ISO 27001, and local regulatory requirements. [Links to: financial-services.html]
Centralised compliance governance across subsidiaries and regions. Same aggregation model, different perspective. [Links to: enterprise.html]
AI-validated compliance data for underwriting. Real assessments, not self-reported questionnaires. [Links to: insurance.html]
Book a demo. We'll walk you through the aggregated dashboard, entity-level views, thematic review capabilities, and how the platform scales across your entire portfolio of regulated entities.
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