Platform

Built for a Threat Class That Didn't Exist Two Years Ago

Deterministic detection. Customizable behavior models. 360° coverage in a single agent.

Architecture

Three Layers. One Agent.

Click each layer to explore how the platform is built.

Endpoint Agent

Process + network telemetry collection
Local deterministic rule engine
Instant enforcement (no round-trip)
Windows / Linux / macOS

Signal Flow

AI Sits at Step 4

Steps 1–3 are deterministic. Detection doesn't wait for a model.

Step 1

Telemetry

Endpoint events collected

→

Step 2

Correlation

Cross-endpoint chains built

→

Step 3

Incident

Deterministic match fired

→

Step 4

AI Analysis

Advisory, optional, cited

→

Step 5

Response

Human-approved enforcement

Comparison

Why Helixar.ai

See how we compare against the tools already in your stack.

AI dependency for detection

Trad. EDR

Low (signatures)

AI EDR

HIGH (model-dependent)

SIEM

Medium

Helixar.ai

None — deterministic

Customizable behavior models

Trad. EDR

Limited

AI EDR

Vendor-controlled

SIEM

Complex rules

Helixar.ai

First-class, policy-driven

Agentic attack coverage

Trad. EDR

AI EDR

SIEM

Helixar.ai

Purpose-built

Inbound request protection (WAF-level)

Trad. EDR

AI EDR

SIEM

Helixar.ai

Endpoint-native

360° coverage (inbound + outbound + lateral)

Trad. EDR

AI EDR

SIEM

Helixar.ai

Single agent

Human-in-the-loop enforcement

Trad. EDR

Varies

AI EDR

Often autonomous

SIEM

Manual playbooks

Helixar.ai

Default

Evidence-cited AI reasoning

Trad. EDR

AI EDR

Black-box

SIEM

Helixar.ai

Advisory with citations

Self-hosted AI option

Trad. EDR

AI EDR

SIEM

Helixar.ai

✓

Audit trails + policy versioning

Trad. EDR

Basic

AI EDR

Basic

SIEM

Good

Helixar.ai

SOC2-ready

Time-to-signal

Trad. EDR

Moderate

AI EDR

Slow (inference)

SIEM

Slow (lag)

Helixar.ai

Instant (local engine)

Capability	Traditional EDR	AI-First EDR	SIEM/SOAR	Helixar.ai
AI dependency for detection	Low (signatures)	HIGH (model-dependent)	Medium	None — deterministic
Customizable behavior models	Limited	Vendor-controlled	Complex rules	First-class, policy-driven
Agentic attack coverage		Partial		Purpose-built
Inbound request protection (WAF-level)				Endpoint-native
360° coverage (inbound + outbound + lateral)	Partial	Partial	Partial	Single agent
Human-in-the-loop enforcement	Varies	Often autonomous	Manual playbooks	Default
Evidence-cited AI reasoning		Black-box		Advisory with citations
Self-hosted AI option				✓
Audit trails + policy versioning	Basic	Basic	Good	SOC2-ready
Time-to-signal	Moderate	Slow (inference)	Slow (lag)	Instant (local engine)

Compatibility

Not a Replacement. A Force Multiplier.

Your investment in CrowdStrike, SentinelOne, or Microsoft Defender was the right call. Helixar.ai doesn't compete with them. It closes the gap they were never designed to fill.

Your existing EDR

Excels at

Known malware signatures and file-based threats
Vulnerability exploitation and kernel-level attacks
MITRE ATT&CK coverage for traditional threat actors
Compliance reporting and forensic investigation
Firewall, DLP, and network policy enforcement

Helixar.ai adds

Fills the blind spot

Autonomous AI agents using legitimate APIs and credentials
Multi-step agentic chains with no malware signature
Inbound prompt injection and plugin supply-chain abuse
Real-time behavioural chain detection, not post-hoc log analysis
Human-in-the-loop enforcement with full audit trail

Together, they cover the full threat spectrum.

Defender or Falcon handles known, signature-based threats. Helixar.ai handles the new generation of autonomous agent attacks that your existing stack was never designed to see. Two layers of defence, zero overlap. Your security budget works harder.

Existing EDR

Signature threats

Helixar.ai

Agentic threats

Together

360° coverage

Enforcement

Tiered. Reversible. Logged.

Every action is reversible. Every action is logged.

Alert

Notify the operator. No action taken.

Throttle

Rate-limit the process. Reduce blast radius.

Contain

Isolate the process. Network access revoked.

Terminate

Kill + quarantine. Full isolation.

Capabilities

Built Different

Deterministic Detection

Rules and thresholds that fire instantly, with no model inference and no black box.

Agentic Attack Coverage

Built to detect orchestrated bots, AI agents, and framework-based automation.

Inbound Request Protection

WAF-level filtering and payload inspection at the endpoint, no proxy required.

Customizable Behavior Models

Policy-driven models you control. Not vendor-locked, not static.

Human-in-the-Loop

Every enforcement action requires human approval by default.

AI Advisory Layer

AI explains and suggests. Policy decides. Evidence always cited.

Full Audit Trail

SOC2-ready logging with policy versioning and export.

Self-Hosted Option

Deploy entirely on-prem. No data leaves your environment.

AI Layer

AI Explains. Policy Decides.

Advisory OnlyProvider-AgnosticSelf-Hosted Option

# AI advisory output , INC-20089

assessment: "High-confidence credential theft via agentic chain."

confidence: 0.94

evidence:

- "Parent→child process from GUI app [T1059]"

- "Outbound to known C2 range 185.220.0.0/16"

- "Credential store access post-C2 [T1555.003]"

action_required: "HUMAN_APPROVAL , policy: contain_on_approval"

Detection works at steps 1–3. AI at step 4 is optional. Remove the model. Detection still runs.

Explore Further

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