Endpoint ProtectionAI Security
The Raven Platform
Stealth-based endpoint protection that hides data so ransomware and AI threats cannot act on it.
The Raven Platform Overview
What it does
The Raven Platform is a stealth-driven endpoint protection product built on the principle that what cannot be seen cannot be encrypted, stolen, or deleted. It conceals an organization's critical files, backups, and endpoint data from any process, tool, or AI assistant that has not been explicitly approved, removing the targets that ransomware and AI-driven attacks depend on. Rather than matching signatures, it pairs this concealment with behavioral detection and decoys delivered through a single lightweight endpoint sensor.
How it works
Raven installs as one lightweight sensor across Windows, Linux, and macOS on workstations, servers, and virtual machines, layering alongside an existing endpoint detection and response deployment rather than replacing it. AI Ransomware Protection watches for ransomware behavior such as mass encryption, using file-entropy tracking and decoys instead of signatures to catch never-before-seen variants. AI Data Resilience conceals backup restore points and blocks destructive actions like deletion. AI Policy Enforcement builds a per-endpoint inventory of AI tools and limits the data they can reach. Detections surface in the Arms Cyber console or a SIEM (security information and event management) system such as Splunk or Microsoft Sentinel.
Credentials and traction
Arms Cyber is named among the sample vendors for Automated Moving Target Defense in Gartner's 2025 Emerging Tech Impact Radar for preemptive cybersecurity, a category that recognizes nonsignature prevention layered beneath endpoint detection and response. The Raven Platform is positioned for ransomware-exposed sectors, with dedicated guidance for critical infrastructure, financial services, healthcare, and technology organizations. Arms Cyber runs an internal information security program aligned to the SOC 2 framework, with independent third-party penetration testing performed at least annually.
Key Capabilities
mapped to solution categoriesDiscovers and categorizes the organization's use of third-party AI, whether consumed as a service, installed locally, or embedded inside other applications, building a continuously updated inventory of AI usage including shadow AI.
Defines organizational AI usage policies and enforces them at the point of use - allowing, blocking, redirecting, or constraining specific AI services, models, and features per user, group, or data context.
Detects anomalous AI usage patterns - unusual volumes, off-policy services, atypical data flows to AI endpoints - and alerts on potential misuse or exfiltration through AI channels.
Incorporates cyber deception capabilities such as decoys and tripwires as additional moving targets that disrupt, deny, and deceive attackers alongside runtime randomization.
Extends runtime randomization beyond laptops to servers, virtual desktops, cloud and container environments, software-defined networks, and OT gateways, including systems that cannot easily be patched or reimaged.
Integrations
compatible toolsImplementation & support
Info last updated on September 1, 2026
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