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NEMESIS SHIELDruntime protection · apps · APIs · AI

Learns your app.
Blocks the rest.

Nemesis Shield learns how your apps, APIs, AI and the payments flowing through them normally behave, then blocks anything that doesn't: the zero-days and business-logic abuse a signature firewall never sees, and the fraud, mules and sanctioned payments that static rules let through. Every block comes with proof, in one line of code.

ISO 27001 certifiedPeer-reviewed researchTrusted by financial institutionsAchieve compliance faster
THREATSphishing · exploits0-day · N-dayransomwareC2 · exfilNEMESIS SHIELDruntime gateapp · api · llmnetwork · dns · cloudlearns normal,blocks the restblocked + proofYOUR ASSETSapps · APIs · LLMsdata · endpointscloud workloadsallowedNEMESIS REDfinds & proves the weakness firstrecon → exploit → zero-dayhardens firstNEMESIS BLUEstops the payload on-deviceon-deviceONE CORRELATION BRAINan attacker seen across runtime, network & endpoint = a single incident → coordinated response
Nemesis Labs is a lab of Autogon Inc.

Trusted across organizations &
financial institutions

ISO/IEC 27001 Certified
See it live · no signup

Not sure what it does for you?
Watch it work on a real app.

We deployed the same fintech app twice: one protected by Nemesis, one left open. Pick your sector, open the demo, and run the same attacks on both. The protected build blocks what the other lets through, in real time.

We build the tools we wish
existed when nobody was looking.

In July 2024, a single kernel-driver update bricked 8.5 million machines[1] in a morning. The fix was a manual safe-mode visit per machine. The product was the biggest name in endpoint security.

That's the failure mode we're built against. Not the threat. The tool we use against the threat. An EDR you can't turn off and can't silently crash. A pentest tool that scoreboard-verifies what it claims.

Written in Rust; releases signed and hash-verified. No “AI-powered” copy where it doesn't belong.

The product line.

Each one solves a real problem and ships under its own brand. Don't need both? Don't buy both.

Nemesis Shield· runtime + SecOps platform

Learns how each app, API and LLM normally behaves, then blocks the odd behavior a rules-based firewall misses.

Shield protects your apps and servers while they run. Add one line of code and it learns what normal looks like for eachof your apps, APIs and LLM apps (not a shared, one-size-fits-all model), then blocks anything that doesn't fit. It also watches your network and cloud, so an attacker hitting your app, your DNS and your cloud shows up as oneincident, not three. It proves what it blocks, and it doesn't claim to stop every zero-day.

app / api / llmbehavioral shield (ADR): learns normal per tenant, blocks logic abuse, broken-auth and vulnerable-code-path exploitation · LLM Guard stops prompt injection and unauthorized tool calls, seeded by the Red OWASP-LLM corpus
network / dnsprotective DNS + optional inline proxy with a per-tenant model that catches beaconing and tunneling a global blocklist misses · in front of any infra or on top of your CDN
cloud / telemetryconnect cloud, SIEM, identity, firewall and the Nemesis engines · trims the noise before ingest so you aren't billed by the gigabyte · links related activity across every layer so one attack reads as one incident
prove, not detectevery block ships with captured evidence and the learned-vs-observed diff · a per-tenant approve/deny review queue keeps false positives from drowning you
complianceVanta-class: 26 built-in frameworks recommended by sector × country (SOC 2, ISO 27001, PCI, HIPAA, GDPR, DORA, NIS2…) plus custom frameworks · evidence from the live data it already runs · exact failing requirements
consolelive threat map per asset · entity threat-hunting · custom block rules on any product · scheduled reports · embeddable “Protected by Nemesis” trust badges
installone line, streams behavioral state and never your source · Node, Python, Go, Java, .NET · starts in observe mode and learns before it ever blocks
pricefree for 1 app + protective DNS (metered) · Pro $29/mo · Business $149/mo · Enterprise custom · MSSP wholesale · self-serve
statusavailable. Self-serve and free to start. Embed the one-line SDK, connect in the console, then enforce.
Nemesis Omniguard· fraud, AML & screening

Scores every transaction, screens every party, and files reports that clear the regulator on the first submission.

Omniguard is the financial-crime engine for banks, fintechs and payment companies. It scores every transaction in real time, screens each party against globalsanctions, PEP and adverse-media data, verifies identity, and generates suspicious-transaction reports in the goAML format financial intelligence units use worldwide. It adapts to each market's currency, identity rails and enforcement lists, and it goes deep enough for the strictest supervisors: built to Nigeria's CBN Baseline Standards, and configurable to yours.

transaction scoringevery payment scored in milliseconds by tuned rules and two self-training models per product line · allow, review or block, with the contributing reasons attached
sanctions / PEPone consolidated watchlist: OFAC, EU, UN and UK sanctions + global PEPs + national enforcement lists · 60,000+ entities, fuzzy and alias-aware, tuned for local names and honorifics
adverse mediascreens a name against current negative news, fraud, laundering, corruption and enforcement coverage · flags corroborated, evidence-linked hits for enhanced due diligence
identityverify national IDs and passports on the Nemesis identity network (BVN, NIN and more) during onboarding or a live transaction, folded into the same risk score
regulatory reportingSTRs generated in goAML, the UN/UNODC standard used by financial intelligence units across Africa and beyond, with the predicate offence and indicator already attached, so filings pass validation on the first submission
local + globalany currency, any identity system, any national list · reference-built to the CBN Baseline Standards and NFIU goAML, so it clears the toughest bar and drops into any market
api-firstscore transactions, or run any single check (screening, identity or adverse media) as a standalone API from your own stack, no function required
statusavailable. Self-serve in the Shield console, metered · pilot it against your own traffic
Nemesis Blue· endpoint + workload defense

An EDR that catches ransomware in under a second, and can't brick your fleet on a bad update.

The big-name kernel drivers BSOD-looped 8.5 million machines last year[1]. Blue uses the safe, approved channels each OS gives security tools (EndpointSecurity on macOS, eBPF on Linux, ETW on Windows), so it can'tcrash the machine the way that update did. It spots attacks by how they behave, not just by known signatures, and cuts off an infected machine's connection to the attacker the moment it's flagged.

coveragemacOS · Windows · Linux endpoints · Kubernetes clusters · VMware vCenter / ESXi
detectionbehavioral analytics on a kernel-sourced event stream (EndpointSecurity · eBPF · ETW), on-device ML, YARA, and threat-intel IOCs: a local verdict in <50ms, led by behavior, not signatures alone
responsein-kernel network blocking severs C2 the instant it is flagged · quarantine · one-click host isolation · live remote response from the console: neutralized in <1s
recoveryautomatic ransomware rollback from APFS / Btrfs snapshots
workloadsKubernetes runtime enforcement + control-plane audit (privileged pods, node-escape mounts, RBAC privilege-escalation) · VMware vCenter / ESXi agentless ransomware detection
resilientkernel-authorized APIs that can'tpanic the kernel · signed, staged auto-updates that can't brick a fleet
pricefree for 1 device, strictly local (no telemetry, ever) · Pro + Family for households ($39–$69 / yr) · Business $4 / endpoint / mo with cloud console + AI threat intelligence · MSSP wholesale.
Nemesis Red· autonomous pentest

A pentester that runs itself, from first look to real zero-day. Every finding proven.

Red does the work a human penetration tester does, on its own: it maps your systems, finds the weak spots, actually exploits them to confirm they're real, and even discovers brand-new bugs. Crucially, it proves every finding before it reports it, so you don't chase false alarms. In a controlled test it found nearly ten times as many confirmed issues as ordinary one-shot scanners (p<0.001) [2], and it found and reported a new memory-safety bug in an open-source library.

two modesAuto runs the engagement end-to-end · Co-Pilot hands the operator the next three commands with the target pre-filled
arsenaldrives the standard Kali toolchain over SSH (nmap, nuclei, sqlmap, and more) plus purpose-built engines · the loop picks by capability, not by name
zero-daya dedicated discovery engine fuzzes and variant-hunts the open-source components a target runs · it found and disclosed a new heap out-of-bounds bug in CWPack with a reproducing proof and a suggested fix
LLM securitytests AI applications against the OWASP LLM Top 10 (prompt injection, data exfiltration, tool abuse) across API, chat, and browser
verifiedweb and network findings are scoreboard-verified against the live target · a single run surfaces CVSS 9.8 CVEs with reproducible proof, for example CVE-2024-38476 · CVE-2023-25690
deploymentself-hosted, on-prem · BYOK to any frontier LLM (Anthropic / OpenAI / Gemini) or fully local via Ollama (Qwen, Llama, your fine-tune) · no data ever leaves your network · hash-chained audit log
air-gaplocal-inference mode runs on a single workstation GPU. No cloud LLM dependency. Suitable for environments where external API calls aren't an option.
pricingstart free · Pro $99/mo · Business $599/mo · Enterprise custom · self-serve, no setup fee

One platform. Four products.

Each product works on its own. Together they cover the whole picture: guarding your apps and servers while they run, guarding the money that moves through them, stopping what reaches the device, and finding the weak spots before anyone else, all connected in one place. You never have to glue separate vendors together to answer one question.

Questions you'd ask in a real conversation.

We're skipping the marketing dance. The full architecture spec is on the trust center. Here are the ones that actually come up, across Shield, Red and Blue.

What does Nemesis Labs actually sell?

Three security products around one idea: detection is cheap and getting cheaper, and proof is not. Nemesis Shieldis per-tenant runtime protection that learns each app's own normal behavior and blocks the deviations a signature WAF can't see across web apps, APIs, LLM features, the browser and the network. Nemesis Red is an autonomous pentest engine that has to prove every finding on a scoreboard before it counts. Nemesis Blue is a hardened endpoint agent, free for individuals. Shield is self-serve with a free tier; you can protect an app in about two minutes.

How does Nemesis Shield protect my app without seeing my source code?

It learns, then enforces. You add one line of SDK: Python, Node, Go, Ruby, PHP, Java, .NET, Rust, the browser (React/Angular/Vue/jQuery) or Supabase Edge. The SDK computes a privacy-preserving shape of each request locally (method, normalized route, whether the caller was authenticated) and never ships your request bodies, secrets or source. It watches real traffic in observe mode, builds a per-tenant baseline of how your app actually behaves, and once you approve it, blocks anything off-baseline in-process. You flip observe to enforce from the console with no redeploy.

Isn't Nemesis Shield just a WAF or RASP?

No. A WAF matches generic attack signatures, so it misses abuse specific to your app and flags legitimate traffic that merely looks unusual. Shield is positive-security: it enforces “this app only ever behaves in these ways,” which catches zero-days, broken object-level authorization (BOLA) and business-logic abuse a signature never sees. It also protects legacy and unpatchedframeworks: an exploit request isn't your app's normal behavior, so it's blocked even before you patch. For checkout pages, the browser SDK maps directly to the client-side controls PCI DSS 4.0.1 made mandatory.

Is Nemesis Red just another AI-generated exploit demo?

No. Red's scoreboard verification is the whole point. Every claimed exploit has to land in a third-party ledger before it counts. You can't lie to a scoreboard. The agent is built around the constraint that if it can't prove the exploit, the exploit didn't happen.

New vendor. Why should I trust Nemesis Blue with kernel access?

You shouldn't, yet. The agent ships with a per-platform hardening story. macOS: Apple Developer-ID + notarization, hardened runtime, Team-ID-pinned self-check. Linux: seccomp ptrace-deny, capability drops, immutable-flag on the installed binary; releases are Ed25519-signed and hash-verified. Windows:service DACL hardening, with Authenticode code-signing rolling out. A modified binary fails its own self-check, and the trust center publishes the threat model honestly, including the limits. We're also Nemesis Red's own customer: the same team that builds Blue gets it attacked by Red before each release.

What data actually leaves my machine or app?

Very little, and it's documented byte for byte in the trust center. Nemesis Blue sends heartbeat metadata only (agent version, integrity hash, threat-count delta), never file contents, command lines or browser data. Nemesis Shield ships behavioral shapes (method, normalized route, auth), never your request bodies, secrets or source. Both have free tiers and are opt-out down to minimal outbound traffic.