PLANCK-99 / INVESTOR DECK / 2026
Technical Brief
Pre-Seed · Deep Tech

Planck-99

On-device malware detection for embedded systems. No cloud. No signatures. No GPU. 37 KB of deterministic C classifying threats in 34 nanoseconds.

34ns
Latency
37KB
Footprint
96.28%
Accuracy (IoT)
Zero
Network Deps
Ziad Salah — Founder & Lead Engineer, 17, Giza, Egypt
Bootstrapped to date · Seeking pre-seed partners & strategic design partners
zs.01117875692@gmail.com · github.com/zierax · linkedin.com/in/z14d
Benchmarks: github.com/Division-36/Planck-99_PublicBenchmarks
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The Founder

Self-taught from age 7. No courses, no bootcamps.

A decade of work in systems, security, and architecture — all public, all verifiable.

Ziad Salah
Founder · Division-36 · Age 17 · Giza, Egypt
Started with Linux documentation at age 7. By 12, was doing offensive security research through independent exploitation work and bug bounty programs. No formal training — just documentation, source code, and repetition.

Top 90 globally on HackerOne VDP leaderboard (Feb–Jun 2026), #9 in Egypt. 12+ critical vulnerabilities reported in a single 48-hour engagement.

Accepted to IEEE AIITA 2026. Research completed four rounds of peer review at Nature Portfolio (Scientific Reports).
Age 7Linux from docs
Age 12Offensive security
Age 15HackerOne + mentoring
Age 17Planck-99 + IEEE + Z-Jail
🏆

HackerOne VDP — Top 90 Globally

#9 Egypt · 12+ critical vulns in 48 hours · Feb–Jun 2026 · Publicly verifiable

📄

IEEE AIITA 2026 — Accepted

PTRR Framework · Minor revisions requested and completed

🔬

Nature Portfolio (Scientific Reports) — 4 Review Rounds

PTRR Framework · 9 reviewers engaged, 2 active through all 4 rounds, 1 explicit publication endorsement

⚙️

15+ Engines Built Independently

Planck-99, Axiom-WAF, SYRTH, AdmitGPT, and 11 others — no team, no institutional resources

📰

Risky Business — Featured Tool

Z-Jail (native code sandbox for Linux) highlighted among the week's new tools in Risky Business newsletter, June 8, 2026

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The Problem

21 billion devices. A hard deadline. Zero solutions.

Traditional antivirus needs 50–500 MB RAM and multi-core CPUs. Your average IoT device has 256 KB–4 MB. By December 2027, the EU Cyber Resilience Act mandates security for every connected device sold in Europe. No production-ready product fits.

21.1B

Connected IoT devices globally, end of 2025

Cameras, routers, industrial sensors, medical devices — all connected, all vulnerable, all running hardware that cannot host traditional security stacks. 64% run on MCU-class hardware.

IoT Analytics, Oct 2025 · iot-analytics.com
260K+

Devices hijacked in a single nation-state botnet

Flax Typhoon (Raptor Train) compromised 260,000+ cameras, routers, and storage devices. FBI disrupted it September 2024. The playbook is proven and repeatable.

FBI Director Wray, Aspen Cyber Summit, Sept 2024 · FBI.gov
0

Commercial on-device classifiers for MCU-class hardware

No production-ready behavioral malware detection engine deploys at 37 KB with no network, no GPU, and no FPU. The category does not exist yet.

Verified market gap — see Slide 09 competitive table

The structural gap: Embedded hardware gives you 256 KB–4 MB RAM. Traditional AV wants 50–500 MB. Cloud solutions need constant connectivity. Signature scanners cannot catch zero-days. Every existing approach fails the constraints — and regulation now mandates those constraints be met.

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Why Now — Verified Triggers

Three forces converging. One has a legal deadline.

2024–2027 is not arbitrary. Regulation, nation-state activity, and ICS vulnerability rates are hitting inflection points simultaneously.

01

EU Cyber Resilience Act — full obligations from December 11, 2027

Regulation (EU) 2024/2847 entered into force December 10, 2024. Full obligations apply December 11, 2027. Every device manufacturer selling into Europe must demonstrate on-device security. Reporting obligations begin September 11, 2026. Non-compliance: €15M or 2.5% of global annual turnover, whichever is higher — or removal from the EU market entirely.

EUR-Lex 2024/2847 · Entry into force: 10 Dec 2024 · Full obligations: 11 Dec 2027 — European Commission
02

Botnets are now nation-state weapons — at IoT scale

Flax Typhoon (PRC-state) built Raptor Train from 260,000+ compromised IoT devices. Volt Typhoon sat inside US critical infrastructure for five years undetected. This is geopolitics executed through unsecured embedded hardware.

FBI Director Wray, Aspen Cyber Summit, Sept 2024 · CISA/NSA/FBI Advisory AA24-038A · Black Lotus Labs / Lumen Technologies
03

ICS vulnerabilities are accelerating — 2,155 CVEs in 2025 alone

508 ICS advisories in 2025 — the first year CISA published 500+. Average CVSS crossed 8.0 for the first time in 2024 and held in 2025. 82% of 2025-only advisories rated high or critical.

Forescout Vedere Labs, 'ICS Cybersecurity in 2026: Vulnerabilities and the Path Forward', Feb 2026
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The Solution

Planck-99

32-dimensional normalized frequency vectors. Int8-quantized closed-form inference. No neural networks. No cloud. No GPU. No FPU. No runtime dependencies. Every classification produces a JSON proof file for CRA Article 13 compliance.

Deterministic
34 ns
Median inference on IoT syscall traces. σ ≤ 14 ns across 9 independent runs. Safe for hard real-time systems.
Ultralight
37 KB
27 KB int8-quantized binary + 10 KB ring buffer. Fits in L1 cache of virtually any embedded Linux SoC. No AI accelerator required.
Accurate
96.28%
On unseen IoT malware from 2016–2026. Not training accuracy — real generalization across 10 years of threats. 97.71% precision.
Throughput
29.4M/s
Inferences per second on a single CPU core. No batching, no GPU. A deterministic dot product on a 32-feature vector.

How It Works

Syscall sequences are modeled as 32-dimensional normalized frequency fingerprints. Training computes a closed-form decision surface. Inference is a deterministic int8 dot product — identical input, identical output, every time. The model generalizes 51× beyond its training ceiling because normalized frequency ratios are length-invariant by construction.

Step 1: Kernel hook captures syscall trace into ring buffer → Step 2: Extract 32 normalized frequency ratios (closed-form) → Step 3: Int8 dot product classification (34 ns) → Step 4: JSON proof file for CRA Article 13 audit trail
All metrics: Intel Xeon 3.8 GHz, single core, no GPU, no network · github.com/Division-36/Planck-99_PublicBenchmarks
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Performance — Three Datasets, Two Fully Unseen

It works on data it has never seen

All benchmarks public and reproducible. The IoT dataset is the primary target — malware from 2016–2026 the model never encountered during training. C kernel numbers shown (int8 quantized).

Baseline

Training Set (Internal Validation)

Accuracy
98.88%
Precision
98.58%
Recall
99.21%
FPR
1.45%
Unseen

LinuxStatic ELF Dataset

Accuracy
92.01%
Precision
100%
Recall
92.01%
FPR
0.00%
Unseen — Primary Target

IoT Syscalls (Collected Real-World)

Accuracy
96.28%
Precision
97.71%
Recall
97.87%
FPR
12.18%*

Absolute kernel latency — trace-length invariant

Training validation traces (median 863 syscalls)
62 nsσ ≤ 14 ns
LinuxStatic ELF (median 1,161 syscalls)
35 nsσ ≤ 14 ns
IoT Syscalls (median 15,075 syscalls; max 117,088)
34 ns51× training ceiling extrapolation
* IoT FPR context: The 12.18% FPR is a data-distribution artifact — benign IoT traces have a median of only 2,234 syscalls and a 1:5.3 benign-to-malware ratio. On the balanced internal dataset, FPR is 1.45%. The short-trace blindspot is fully mitigated by a 500-syscall gate in production deployment.
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The Gap — No One Else Fits

Every existing solution breaks on embedded hardware

What actually happens when you try to run existing tools on a microcontroller or embedded Linux SoC.

MetricTraditional AVCloud DetectionSignature ScannerPlanck-99
Peak RAM50–500 MBServer-side~30 MB0.03 MB
Inference time10–100 ms200–2,000 ms1–50 ms34 ns
Network requiredNoMandatoryNoNever
GPU / FPU requiredNoYesNoNever
Air-gap safe✗✗~✓
MCU-class viable✗✗✗✓
DeterministicNoNo~✓
Accuracy (IoT, unseen)95–98%N/ASignatures only96.28%
★ Planck-99: github.com/Division-36/Planck-99_PublicBenchmarks — public, reproducible, verifiable
† Traditional AV: AV-TEST Institute comparisons 2024 · ‡ Competitor specs: publicly documented product specifications
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Market Size — All Figures Sourced

$28.67B → $80.30B by 2031

18.7% CAGR global IoT security. The real driver is a December 2027 compliance cliff, not organic growth.

MarketsandMarkets™ IoT Security Market, March 2026
$80.3B
Global IoT Security Market, 2031
21.1B
Connected IoT devices, 2025
64%
Run on MCU-class hardware — our exact target tier
$6.8B→$19.8B
Global IoT MCU market, 2025→2034
$197.8B
Europe IoT market, 2025 — first-priority region under CRA

EU CRA: forced compliance, hard penalty structure

By December 11, 2027, every connected device sold in Europe must meet mandatory cybersecurity requirements (Regulation EU 2024/2847). Non-compliance triggers a fine of €15M or 2.5% of global annual turnover, whichever is higher — or removal from the EU market entirely, with no size exemption for small manufacturers.

EUR-Lex 2024/2847 Art. 64 · MarketsandMarkets, March 2026

The MCU-class gap: where every competitor stops

Exein, Nozomi, Claroty, and Dragos all require a Linux kernel with eBPF support or network-layer visibility. Planck-99 is pure C — the only production path into the 64% of IoT devices running MCU-class silicon with no OS, no GPU, sometimes no FPU.

IoT Analytics MCU Market Report, Nov 2025 · Competitive analysis, Slide 09

Europe semiconductor base: $137.3B and growing

Europe's semiconductor market reached $137.3B in 2025, backed by €43B in EU Chips Act investment to double regional production capacity by 2030. Germany alone holds 25–27% of that market, anchored by automotive and industrial OEM demand.

Precedence Research, 2026 · EU Chips Act, European Commission

Regulatory stack: not just Europe

EU Cyber Resilience Act (2024/2847) · UK PSTI Act (enforced April 2024) · Japan JC-STAR labeling (2024) · FDA Cybersecurity in Medical Devices Guidance (2023) · NIST SP 800-213A · Saudi NCA and UAE frameworks emerging. See full table below.

EUR-Lex · legislation.gov.uk · FDA.gov · NIST.gov

Global Regulatory Convergence — On-Device Security Is Becoming a Worldwide Baseline

RegionRegulationStatusWhat it requires
European UnionCyber Resilience Act (2024/2847)Binding · Dec 2027On-device security evidence for every connected product; €15M / 2.5% turnover penalty or market removal
United KingdomProduct Security & Telecoms Infrastructure (PSTI) ActEnforced Apr 2024Bans default passwords, mandates vulnerability disclosure for consumer connectable products
JapanJC-STAR IoT Security LabelingActive 2024Government-backed security labeling scheme for IoT devices sold domestically
United StatesNIST SP 800-213A / FDA Medical Device GuidanceActiveFederal IoT baseline security controls; mandatory cybersecurity documentation for connected medical devices
Saudi ArabiaNational Cybersecurity Authority (NCA) IoT controlsEmergingGovernment-mandated IoT security controls with penalties for critical infrastructure operators
UAEUAE IoT Security FrameworkEmergingMinimum security benchmarks for connected devices under national cybersecurity strategy
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Competitive Landscape

We're not improving a category — we're creating one

Different layer, different hardware tier. No competitor checks all four boxes at the MCU level.

CategoryOn-deviceAir-gappedReal-timeMCU-classNotes
Traditional AV
Kaspersky, CrowdStrike
✗✗✓✗50–500 MB RAM
Cloud Detection
Darktrace, Vectra
✗✗~✗Mandatory connectivity
Signature Scanners
YARA, ClamAV
~✓✗✗No behavioral analysis
OT Network Platforms
Nozomi, Claroty, Dragos
✗~~✗Network layer only — partners, see below
Exein (Pulsar)✓~✓✗eBPF/Linux only · €700M val · no MCU
Planck-99✓✓✓✓37 KB · 34 ns · 96.28% · deterministic
§ Exein: €70M Series C (Jul 2025, Balderton) + €100M extension (Dec 2025, J.P. Morgan) = €170M raised in 2025 · ~€700M valuation · 1B+ devices · 5× YoY revenue growth

Dragos, Nozomi, and Claroty Are Distribution Partners — Not Competitors

These platforms operate at the network layer: they see traffic moving between devices on an industrial floor. Planck-99 operates at the device layer: it runs inside the MCU-class hardware itself, where no Linux-dependent, eBPF-based, or cloud-connected platform can physically reach. A joint customer facing CRA audit needs both layers to produce a complete compliance artifact — network-level visibility plus device-level behavioral evidence. That combination is the natural bundling motion for OT platforms that want to close the same gap Accenture just paid $4.175B to acquire Dragos, runZero, and NetRise for — without any of it touching MCU-class silicon.

Where Planck-99 Surpasses Exein — Our Nearest Competitor

Exein raised €170M in 2025 at ~€700M valuation — proof the embedded security market is real, large, and expanding. But Exein requires Linux with eBPF support and cannot reach MCU-class hardware. That's the 64% of the 21 billion device install base they cannot address.

Air-Gapped by Design
Exein's eBPF pipeline may need AI model updates and log exports off-device. Planck-99 needs zero network of any kind, ever.
37 KB vs Linux-only
Exein requires Linux kernel with CONFIG_BPF/CONFIG_BPF_SYSCALL. Planck-99 is 37 KB pure C — runs from Cortex-M to x64, opening the entire MCU market Exein cannot reach.
Compliance Engine
Planck-99 produces a self-contained JSON proof per classification directly satisfying CRA Article 13 traceability mandates — verifiable by any insurer, auditor, or regulator.
34 ns vs eBPF overhead
Exein's eBPF carries overhead from BPF verifier JIT, map lookups, and ring buffer comms. Planck-99's closed-form int8 dot product completes in 34 ns median (σ ≤ 14 ns).
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Next Steps + Go-to-Market

One design partner. That's the only milestone that matters.

No revenue projections until a contract is signed. These priorities are aligned with the EU CRA December 2027 compliance window. Full legal infrastructure is operational.

1

Find the right OEM partner

An IoT gateway or OT security vendor shipping embedded Linux devices — Advantech, Moxa, Kontron class. The product already runs on their hardware class. This is integration, not invention.

Phase 1 targets (illustrative):
Advantech
Kontron
Moxa
Toradex
2

Run a live benchmark

Planck-99 deploys as a 27 KB binary with a kernel hook. Integration takes hours, not months. The partner gets a JSON proof file per classification — auditable, CRA Article 13 compliant, verifiable by any auditor or reinsurer.

Unit economics: ~100% gross margin. Pure software SDK. $0.05–$0.50/device license. 1M devices = $50K–$500K ARR.
3

Sign a paid pilot

A signed agreement is proof of market demand no pitch deck can substitute. It de-risks every subsequent conversation with investors, accelerators, and OEM partners — and validates the EU CRA compliance story.

Phase 2 chipset targets:
NXP
STMicroelectronics
Espressif

Parallel Track: Reinsurance Compliance Channel

Alongside OEM design partners, Planck-99 targets a reinsurer compliance channel (Munich Re, Swiss Re, Lloyd's, SCOR, AXA XL). If a leading reinsurer mandates Planck-99 for OT coverage eligibility, OEM adoption becomes pull-through demand — no sales cycle required. 12–18 month engagement cycle aligned with the EU CRA December 2027 enforcement deadline. No competitor — including Exein — has this channel.

⚖ Legal & Operational Readiness

A qualified legal guardian is fully in place. A specialized law firm with expertise in cybersecurity law, data protection law, and intellectual property has been retained by Division-36 for all commercial, licensing, and investment engagements. Full legal capacity for contract negotiations, IP registration, and regulatory compliance is operational today — no delays on our side. On single-founder risk: the core engine is 37 KB of deterministic C — not team-dependent complexity. IP and architecture are fully documented.

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