Sensitive information governed before it reaches AI tools. Employee privacy maintained by design. No vendor cloud. No blind spots.
For decades everyone asked: are your vulnerabilities patched? We ask a different question.
"No patch required. RuntimeX prevents exploitation at runtime — protecting your endpoints whether or not the vulnerability has been patched."
In 2026, the average knowledge worker uses multiple AI tools at work — most without IT's knowledge, nearly all without governance. Customer records, financial projections, patient data, source code and legal documents flow into these tools every day.
The question is no longer whether your data is being shared with AI. It is what you are going to do about it before the next incident.
"84% of developers are using or planning to use AI coding assistants — each one sending code context, credentials and intellectual property to external AI APIs with no governance in place."
AI Governance & Enforcement Layer — AGEL
Shield does not just monitor what your employees share with AI tools — it enforces. Sensitive data is identified and blocked in real time, before it leaves your organization. Your security team sets the rules. Shield makes sure they are followed — across every AI tool, every application, every endpoint.
Built with employee privacy by design. Shield governs AI traffic only — not general internet browsing. An employee accessing their bank, personal email, or any non-AI website is completely outside Shield's scope. No personal browsing is captured, monitored or stored. What you gain is full visibility and control over your organization's sensitive data flowing to AI tools — not surveillance of your employees.
Your employees don't just use AI in the browser. Developers call AI APIs from their IDE, their scripts and their terminal. Shield governs all of it — applying the same policy everywhere sensitive data could leave.
| Capability | Network & cloud proxy e.g. Zscaler, Netskope, Palo Alto | Endpoint DLP e.g. Purview, Symantec, Forcepoint | RuntimeX Shield |
|---|---|---|---|
| Governs text typed into AI chat | ✕ Encrypted payload — not inspectable without full SSL intercept | Partial — possible with deep packet inspection, not AI-native | ✓ AI-native — intercepts before submission, understands AI context |
| Scans file content before AI upload | Partial — inspects after upload begins, not before | Partial — generic upload policies, not tuned for AI chat interfaces | ✓ Full content scan before submission — file must be removed to continue |
| Governs AI API calls from code & IDEs | ✓ Yes — but all traffic routed through vendor cloud, latency added | Partial — requires custom rules per AI endpoint, complex setup | ✓ On-endpoint — zero latency, no cloud routing, 42+ AI APIs pre-configured |
| Protection follows device, not session | ✓ Yes — network layer is browser-mode independent | Partial — depends on agent scope and configuration | ✓ Endpoint-level — browser mode, VPN and network topology irrelevant |
| Decisions made on your infrastructure | ✕ All traffic routed through vendor data centre | Partial — some local decisions, policy often cloud-dependent | ✓ 100% on-endpoint — no vendor sees your data, air-gap supported |
| Employee privacy — personal browsing untouched | ✕ All internet traffic inspected — banking, personal email, everything | Partial — scope depends on policy; broad monitoring common | ✓ AI traffic only — architectural guarantee, not a configurable policy |
| Pre-configured for AI tools on day one | Partial — AI categories exist, proxy deployment and tuning required | Partial — improving but custom AI rules typically needed | ✓ 42+ AI tools governed immediately, self-learning discovery adds more |
| SIEM integration — Splunk, Sentinel, syslog | ✓ Yes — core capability of cloud proxy tools | ✓ Yes — standard enterprise DLP feature | ✓ Available — Splunk HEC, Microsoft Sentinel, syslog/CEF |
Before you can govern AI usage, you need to know where it exists. AI today is not just standalone tools — it is embedded in the platforms your organization already uses. Shield maps all of it.
AI governance that only covers the browser misses the fastest-growing risk. Shield's AI traffic layer governs every outbound AI API call from every application on the endpoint — browser, IDE, script or pipeline.
Extend the same endpoint agent with AI-specific CVE exposure scanning, outdated package risk, and full runtime exploit prevention. One agent, expanded capability — no patch required, no additional overhead. RuntimeX is available as a standalone deployment today.
Human vs non-human identity governance, contractor access policy, MFA posture across AI tools, stale account detection. Different rules for different identities.
Real-time governance events, fleet status, policy management and compliance reporting — in a single console that runs entirely on your endpoints. 90-day rolling hot data with daily aggregates retained indefinitely. The Alphans never sees your data.
For decades everyone asked: are your vulnerabilities patched? We ask a different question.
The enterprise security industry has spent two decades building tools that detect attacks after they execute. RuntimeX was built on a different belief.
"Is this vulnerability being actively exploited right now — on this endpoint — by this identity?"
RuntimeX answers this question at the moment of execution. Not after. Not by correlation. Before the exploit completes.
Yes. RuntimeX prevents exploitation at runtime — protecting your endpoints whether or not the underlying vulnerability has been patched. In 2025, 48,185 new CVEs were disclosed — 131 every single day. The median time to exploit dropped to negative seven days, meaning attackers exploit vulnerabilities before patches even exist. The average enterprise carries hundreds of unpatched critical vulnerabilities at any given time, many in systems that cannot be patched without downtime, regulatory approval or production risk.
Stingrai Vulnerability Statistics 2026 · Mandiant M-Trends 2026 · Maze HQ Security Wrap 2026 · CISA KEV Catalogue 2025RuntimeX is extending beyond endpoint agents. The next phase brings network-level threat prevention to the devices traditional security products have never been able to reach — OT systems, industrial controllers, medical devices, IoT equipment, and network infrastructure. No agent installation. No new hardware. No blind spots.
Part of the RuntimeX platform roadmap. Organizations in manufacturing, healthcare, energy and critical infrastructure — contact us to discuss early access.
The Alphans was founded on a single belief: the most important moment in security is the one before the damage is done. Not detection. Not response. Prevention — at the moment of execution, with the full context of who is acting and what they are doing.
We started with a question the entire industry had stopped asking: what if you knew, in real time, whether a vulnerability was being exploited — on this endpoint — by this specific identity? The answer became RuntimeX.
When AI tools became the new shadow IT, we asked the same question again: what if every organization had full visibility and control over what their people share with AI — without compromising employee privacy, without slowing anyone down? The answer became RuntimeX Shield.
We are a pre-seed company building enterprise security infrastructure. Every detection rule, every training example, every governance pattern exists because organizations deserve tools that prevent damage — not tools that generate alerts about damage that has already been done.
Every organization has something worth protecting — patient records, customer trust, intellectual property, financial integrity. We build the tools that defend those things at the moment they are at risk. Not after.
For the first time in enterprise security, your SOC team does not have to chase every alert and trace every step of an attack. RuntimeX prevents it, records it, and delivers the evidence — so your team can investigate from a position of strength, not panic.
Detection tells you what happened. Prevention stops it from happening. Every product we build acts at the moment of risk — before the data leaves, before the exploit completes.
RuntimeX and RuntimeX Shield run entirely on your endpoints. The Alphans never sees your telemetry, your events or your governance decisions. That is not a marketing claim — it is the architecture.
The shift to AI tools in the enterprise has outpaced every governance framework in existence. We built RuntimeX Shield to fill that gap — and we are building the broader platform that will define enterprise AI and endpoint security posture for the next decade.
Endpoint security, identity management, vulnerability management and cyber insurance represent over $98B in combined annual spend. No existing vendor addresses the AI governance gap and the runtime prevention gap simultaneously. We do.
RuntimeX Shield is in production deployment. 700+ governance events recorded. Patent pending. RuntimeX neural engine at 98.5% accuracy, validated across 384 MITRE ATT&CK techniques.
Every enterprise in every regulated industry needs AI governance. Most have no solution today. The window to establish the category-defining product is open now. We are building it.
Whether you are an enterprise looking to govern AI usage, an investor interested in the AI security category, or a potential design partner — we want to hear from you.
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— The Alphans Team