The Platform

The control plane for enterprise AI agents.

One platform: governance over every agent in your environment, tamper-evident compliance evidence, and graduated runtime enforcement when an action crosses the line.

What it does

Three things, on one platform, for every agent.

Governance gives you the inventory. Compliance gives you the evidence. Security gives you the intervention.

01one register

Governance

Know every agent operating in your environment.

A single, authoritative view of every AI agent, what it is, who owns it, what it is permitted to touch, and what policies apply to it. Agents are first-class entities with their own identity, lineage, and authorisation chain.

  • Agent inventory across vendor SaaS, internal platforms, and personal connectors
  • Identity, ownership, scope, and policy in one record
  • Lineage that survives model swaps and tool changes
02four frameworks

Compliance

Tamper-evident evidence auditors actually accept.

Every agent action, every tool call, data access, and escalation, captured in a record that maps cleanly to control objectives. Auditors and regulators see that controls operated, not just that controls existed.

  • EU AI Act, NIST AI RMF, ISO/IEC 42001, SOC 2
  • Per-action evidence mapped to control objectives
  • Tamper-evident records via the HDP delegation chain
03four modes

Security

Graduated runtime enforcement, not just telemetry.

Monitor agent behaviour at runtime and intervene when it crosses from authorised activity into harm. Pick the level per agent and per action class, observe, alert, require approval, or block, without writing rules for threats you have not seen yet.

  • Cross-layer correlation across API, tool, and data access sequences
  • Per-action-class enforcement: observe · alert · approve · block
  • Reversible by design, start in observe, turn enforcement on when ready

Graduated enforcement

Reversible by design.

Start in observe mode. Validate what we see. Turn enforcement on when ready, per agent and per action class.

01 · Observe

Capture every action; ship nothing back.

02 · Alert

Notify the right team in their existing tools.

03 · Approve

Hold high-risk actions for human sign-off.

04 · Block

Stop the action before it commits.

Why coverage matters

AI agents enter your enterprise through three doors at once.

Each pathway creates a different gap. Helixar covers all three so the most consequential software in your environment isn’t also the least observed.

Door

Vendor SaaS

Embedded agentic features quietly shipped inside products you already pay for.

The gap

Opaque. The customer rarely knows what model is running, what tools it can call, or what data it has touched.

Owned by: CISOs, third-party risk

Door

Internal Platform

Bespoke agents built on top of foundation models by your own platform engineers.

The gap

Powerful but under-governed, most ship without change control, audit trail, or runtime kill switch.

Owned by: Platform leads, AppSec

Door

Personal Connector

Personal AI assistants connected to corporate data through browser extensions, MCP servers, dev tooling.

The gap

Invisible. Operating from developer laptops and personal accounts with no security telemetry at all.

Owned by: Endpoint, DLP, IT ops

Where Helixar sits

The category is crowded with retrofits. We aren’t one of them.

Posture tools find misconfigurations. Prompt gateways filter strings. Rebadged endpoints inherit the wrong mental model. Each plays a role. None is sufficient.

Posture & inventory tools

Scan configurations and surface misconfigurations.

No runtime intervention.

Prompt gateways

Filter inputs and outputs at a single layer.

Blind to multi-step agent behaviour.

Rebadged endpoint products

EDR repurposed for AI workloads.

Built for users and devices, not agents.

Helixar · The control plane

Built for autonomous AI from the first commit.

  • Agent-native: protected entity is the agent, not the user or device.
  • Cross-layer correlation across API, tool, and data access sequences.
  • Graduated runtime enforcement: observe · alert · approve · block.
  • Open delegation protocol (HDP) for verifiable chain of custody.

Who it’s for

Built for organisations where AI agent failure isn’t a tolerable cost of innovation.

Customers deploying agents in workflows that touch regulated data, customer trust, or operational integrity, and that have reached the point where “we’ll figure out governance later” is no longer an acceptable answer.

Financial Services

Agents in operations, customer service, and back-office workflows touching regulated data.

CISOCROHead of Compliance

Healthcare & Life Sciences

Agents in research and clinical workflows where decisions touch patient safety and consent.

CISOChief AI OfficerCMIO

Critical Infrastructure

Public-sector and infrastructure operators where a misbehaving agent isn’t a churn problem.

CISOHead of OT Security

Platform Engineering

Tech companies embedding agents into developer and customer-facing tooling at scale.

Platform LeadAppSecCTO

Stack compatibility

Complements your governance, security, and compliance stack.

Helixar adds the agent-native layer your existing tools were not built for. Detections and tamper-evident evidence flow into your existing GRC, SIEM, and identity systems.

No replacement. No conflicts. Your full stack, stronger.

Endpoint, Identity & SIEM

  • CrowdStrike Falcon
  • SentinelOne
  • Microsoft Defender
  • Okta
  • Splunk
  • Elastic

Network & Cloud

  • Cloudflare
  • AWS WAF
  • Akamai
  • Zscaler

GRC & Compliance

  • Vanta
  • Drata
  • OneTrust
  • ServiceNow GRC

Data & Observability

  • Snowflake
  • Databricks
  • Datadog
  • Grafana

Enterprise ready

Ready for your environment on day one.

A control that is too expensive to run is a control that gets switched off. We optimise for low overhead, low latency, and low operational friction.

01

Fast deployment

Operational in hours, not weeks. No kernel drivers. No reboots.

02

Reversible by design

Start in observe mode. Validate what we see. Turn enforcement on when ready.

03

Sovereignty-aware

Cross-layer correlation runs on-premise where data residency requires it.

04

Audit-ready evidence

Tamper-evident records mapped to EU AI Act, NIST AI RMF, ISO/IEC 42001, SOC 2.

05

No conflicts

Complements EDR, SIEM, identity, DLP. No replacement, no rip-and-replace.

06

Continuous coverage

New agent patterns covered through pipeline updates. No reinstallation.

FAQ

Common questions

What does the Helixar platform do?
Helixar is the control plane for enterprise AI agents. Governance over every agent operating in your environment. Tamper-evident compliance evidence mapped to EU AI Act, NIST AI RMF, ISO/IEC 42001, and SOC 2. Graduated runtime enforcement (observe, alert, require approval, block) chosen per agent and per action class.
How does Helixar discover the agents in my environment?
Helixar inventories agents across the three pathways AI enters the enterprise: vendor SaaS products with embedded agentic features, internal platform deployments built on foundation models, and personal connectors operating through browser extensions, MCP servers, and developer tooling. Each agent is registered as a first-class entity with identity, ownership, scope, and policy.
How does the compliance evidence work?
Every agent action — every tool call, data access, escalation — is captured in a tamper-evident record that maps to control objectives. The chain is cryptographically verifiable end to end via HDP, the open delegation protocol Helixar contributed to the IETF. Auditors see that controls operated, not just that they existed.
What is graduated enforcement?
Four runtime levels, chosen per agent and per action class: observe (capture only), alert (notify), require approval (hold for human sign-off), block (stop the action before it commits). You can start in observe and turn enforcement on when ready.
Does Helixar replace my existing security stack?
No. Helixar complements EDR, SIEM, identity, DLP, and application security. Those layers do their jobs. Helixar adds the layer they were not built for: an agent-native, cross-layer control plane for autonomous AI.
How does the platform deploy?
Alongside your existing infrastructure with no rip-and-replace, no kernel drivers, no reboots. For sovereignty-bound customers, cross-layer correlation runs entirely on-premise. Enterprise teams are typically operational within hours.

See the control plane in your environment.

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