The AI security wave
needs a verifier.RankShield — verifiable, post-quantum, agent-layer security, with a live network already mapping real threats.
Capital is pouring into AI security, and the funded incumbents cluster on detection, identity, governance, and cryptography. RankShield occupies the underserved intersection: proof, not promises — an independent, post-quantum-signed evidence layer for every AI and agent action, running on one network that already maps hundreds of real attack networks.
Agents are acting.
No one can prove what they did.
Autonomous agents now move money, touch data, and call APIs at machine speed, while machine identities already outnumber humans by more than 100 to 1. The security question of the decade is no longer "keep them out," it is "prove what they did." That is the layer we build.
Five markets,
all compounding.
AI-in-cybersecurity to ~$94B by 2030. Agentic-AI-security at ~42% CAGR. Non-human identity, AI governance, and post-quantum each growing fast. RankShield sits where all five overlap, because a verifiable evidence layer serves every one of them.
$7.5B into early-stage,
+63% in a year.
7AI raised the largest cybersecurity Series A in history. Saviynt raised $700M at ~$3B. SandboxAQ raised $450M+ at $5.75B. The category is not speculative, it is being built and funded right now, and the evidence layer is the part still open.
Verifier,
not vendor.
Incumbents ask you to trust their black box. RankShield produces independent, checkable proof — the one thing a vendor selling its own product structurally cannot offer. That posture, on the agent layer, signed post-quantum, is the wedge.
A network that
compounds.
Every endpoint is a sensor and a beneficiary. The 238 attack networks one customer reveals become foresight for all of them. The moat grows with participation, and the evidence layer is the product. Here is the honest, backed picture.
What is RankShield, and why does it matter now?
RankShield is building the verifiable evidence layer for AI — a network that seals any AI or agent action as an independent, post-quantum-signed, tamper-evident receipt anyone can check. The market has spent two years learning to deploy AI and is now discovering it cannot prove what that AI did. Autonomous agents take real actions at machine speed; machine identities outnumber people by more than 100 to 1; regulators are writing deadlines into law. Every one of those pressures resolves to the same missing primitive: independent proof of what an automated system actually did. The funded incumbents in AI security each solve one adjacent piece — detecting agent misbehavior, managing machine identities, governing models, or supplying post-quantum cryptography. RankShield builds the layer underneath all of them: not another black box asking to be trusted, but a "verifier, not vendor" that produces evidence a customer, an auditor, or a regulator can check without trusting us. And it runs as one network, so protecting a WordPress site, a Shopify store, a device, or an agent all feed the same threat intelligence — which is already, today, mapping hundreds of real attack networks from hundreds of thousands of real events.
How big is the market, really?
Large, and compounding across five overlapping segments that a verifiable evidence layer serves simultaneously. These are third-party analyst estimates, cited below; the point is not any single number but that every adjacent market RankShield touches is growing double-digit-to-40%-plus per year.
Sources: Grand View Research (AI in cybersecurity); MarketsandMarkets (agentic AI security, PQC); Mordor Intelligence (non-human identity); market-report aggregation (AI governance). Estimates vary by methodology and should be re-confirmed at diligence.
Where is the capital actually going?
Into exactly this intersection, at scale, and right now. Early-stage (Series A/B) cybersecurity investment hit $7.5B in 2025, up 63% year over year, driven by the AI-and-security intersection (Crunchbase). Below are representative funded comparables across the four adjacent categories — validation that the space is real and well-capitalized, and a map of which layers are already crowded versus open. RankShield is earlier-stage than most of these; the table is context, not a claim of parity.
| Company | Category | Latest round | Valuation |
|---|---|---|---|
| 7AI | Autonomous AI-SOC agents | $130M Series A · Dec 2025 | ~$700M |
| Cyera | AI data security | $400M Series F · Jan 2026 | ~$9.0B |
| Noma Security | AI / agent security platform | $100M Series B · Jul 2025 | n/d |
| Saviynt | Identity (human + AI agents) | $700M · Dec 2025 | ~$3.0B |
| Oasis Security | Non-human identity | $120M Series B · Mar 2026 | n/d |
| GitGuardian | Secrets / NHI security | $50M Series C · Feb 2026 | n/d |
| Arize AI | AI observability | $70M Series C · Feb 2025 | n/d |
| Aembit | Non-human IAM | $25M Series A · Sep 2024 | n/d |
| SandboxAQ | Post-quantum / quantum-AI | $450M+ Series E · Apr 2025 | ~$5.75B |
Sources: company announcements and reputable press (7AI, Noma, Aembit, Credo AI, Cranium, Arize, SandboxAQ primary blogs; SiliconANGLE, Crunchbase News, Calcalist, WSJ-reported valuations). Valuations marked ~ are press-reported; n/d = not disclosed. Landscape is fast-moving; figures as of mid-2026.
What has RankShield actually built and proven?
A live network with real, first-party traction — and we are precise about what is shipped versus what is pre-launch. The most important proof point is that the network already works and generates unique threat intelligence: since June 17, 2026 the production mesh has processed roughly 887,000 real threat events and resolved them into 238 distinct attack networks across 9,085 IP-prefix networks. That is not a projection; it is what the network is doing now.
Source: RankShield production mesh (threat_events / meshBus attack-network view), first-party, as of July 3, 2026. Counts cover events where network enrichment has run, so the true network count is likely higher. Full methodology and caveats in the mesh data report.
| ASN | Top source network (last 7d) | Events | Prefixes | Products hit |
|---|---|---|---|---|
| AS396982 | Google Cloud | 2,208 | 25 | 4 |
| AS45090 | Tencent Cloud | 1,971 | 22 | 3 |
| AS16509 | Amazon AWS | 1,678 | 9 | 3 |
| AS132203 | Tencent | 1,321 | 20 | 3 |
| AS14061 | DigitalOcean | 1,215 | 15 | 4 |
Live 7-day view: 90 active hostile networks across 4,587 IP prefixes from ~586,000 events. Top sources are all cloud/hosting providers — the signature of rented bot infrastructure, and evidence the same infrastructure hits multiple RankShield products at once (the network effect that makes cross-product intelligence valuable).
Shipped and revenue-capable: the WordPress plugin is live on wordpress.org with paid Stripe tiers; the Shopify app is listed on the App Store; the post-quantum attestation stack (sign → multi-algorithm → RFC 6962 transparency log → independent verify) is live with witness co-signing; five vertical sites are live. Built, pre-launch: six OS guardians on one shared core (Windows, Linux, iOS, macOS, Android, Browser) at varying readiness; a prompt-injection-resistant agent runtime; a cross-pillar enterprise fleet. IP: patents filed in the financial and legal verticals, additional families drafted in medical and robotics. We do not claim a substantiated "best-in-class" title, and we say quantum-safe, never "quantum-proof."
What is the moat, and why does it compound?
Two reinforcing assets: a network effect and an evidence layer only a verifier can own. The network effect is concrete, not a slogan. Every RankShield product reports into one shared learn-and-predict mesh, so each new endpoint is simultaneously another sensor and another beneficiary. When one customer’s traffic reveals a hostile network — and the mesh has already mapped 238 of them — that recognition becomes foresight for every other customer, and the newest customer inherits everything the network has learned. Coverage and speed of detection improve with participation, which is the compounding dynamic that turns a product into a platform. The second asset is structural. RankShield’s posture is "verifier, not vendor": it produces independent, post-quantum-signed, tamper-evident evidence that a customer, auditor, or regulator can check without trusting RankShield. An incumbent whose business is selling its own security black box cannot credibly also be the independent verifier of that box — the conflict is inherent. That leaves the operator-independent evidence layer as defensible ground, and pairing it with the network effect is what makes the position hard to copy rather than merely novel. We hold one honesty line firmly here: a signed, logged receipt on its own is well-established prior art, so the defensible claim is the verifiable, operator-independent, agent-layer evidence network, not the receipt primitive itself. Explore the architecture on the platform overview and the network in action in the mesh data report.
Ask RankShield.
What does RankShield do, in one sentence?
RankShield is building the verifiable evidence layer for AI: a network that lets any AI or agent action be sealed as an independent, post-quantum-signed, tamper-evident receipt anyone can check. The posture is "verifier, not vendor" — instead of asking you to trust a security tool, it produces proof. That same network spans websites, stores, devices, and AI agents, so protecting one endpoint contributes threat intelligence that protects all of them.
Why is this a good time to invest in AI security?
Because capital and threats are arriving together. Early-stage (Series A/B) cybersecurity investment reached $7.5 billion in 2025, up 63% year over year, driven largely by the AI-and-security intersection (Crunchbase). The AI security startup ecosystem raised roughly $8.5 billion across 175 companies over 2024–2025, with 2025 funding nearly tripling 2024. At the same time the underlying markets are compounding fast: AI-in-cybersecurity is projected to grow from about $25B (2024) to $94B (2030) at ~24% CAGR, and the newer agentic-AI-security segment is forecast to grow at ~42% CAGR through 2032. The category is validated; the question is which layer of it compounds.
How is RankShield differentiated from the funded incumbents?
The well-funded players cluster into four buckets: autonomous AI-SOC agents (7AI, Noma), non-human/machine identity access management (Aembit, Oasis, GitGuardian, Saviynt), AI governance and observability (Credo AI, Cranium, Arize), and post-quantum cryptography primitives (SandboxAQ). RankShield sits at the intersection none of them centers on: verifiable, attestation-first, post-quantum-signed, agent-layer security — evidence that is independently checkable rather than a vendor’s assurance. We are careful not to claim we are the only company that could ever occupy this space; we are saying it is an underserved intersection, in a fast-moving market, that our architecture is purpose-built for.
What real traction exists today?
A live network, not a slide. Since June 17, 2026, the production mesh has processed roughly 887,000 real threat events and mapped 238 distinct attack networks across 9,085 IP-prefix networks — first-party threat intelligence generated by protecting real customers. On the product side, the WordPress plugin is live on wordpress.org with paid tiers, the Shopify app is listed on the App Store, the post-quantum attestation stack (sign → multi-algorithm → transparency log → verify) is live, and six OS guardians share one core at varying stages of readiness. Patents are filed in the financial and legal verticals, with more drafted. We report what is shipped, what is built-but-pre-launch, and what is roadmap, without blurring the three.
What is the moat?
The network effect. Every product feeds and draws from one shared learn-and-predict mesh, so each new endpoint is both another sensor and another beneficiary — the 238 attack networks one customer’s traffic reveals become foresight for every other customer. On top of that sits the harder-to-copy asset: an independent, post-quantum-signed evidence layer that a "verifier, not vendor" can offer and an incumbent selling its own black box structurally cannot. The moat compounds with participation, which is exactly the dynamic investors look for.
What are you honest about?
Everything an investor will eventually diligence anyway. We are early-stage. Product readiness genuinely varies across the six OS guardians. We do not claim a substantiated "best-in-class" title, we do not claim to have invented attestation or post-quantum cryptography (a signed receipt on its own is well-trodden prior art), and we say quantum-safe, never "quantum-proof." The differentiated, defensible claim is the verifiable, operator-independent, agent-layer evidence network — and our discipline about not overclaiming is itself a signal of how we will represent the company to your LPs.
We are raising our Series A.
The verifiable evidence layer for AI, a live network already mapping real threats, and a market compounding across five segments. See the round, the honest system evaluation, and the plan.