Runtime protection for everything
your code touches. One brain.
Shield learns how each of your apps, APIs and LLMs actually behaves (a positive-security baseline learned per tenant, not a global model), then blocks the deviations a signature WAF can't see. One platform, five layers: the app, the API, the LLM, the network/DNS in front of them, and the money moving through them (fraud, AML and sanctions). It fuses all of it (plus your endpoints) into one correlated view, and proves what it blocks. It does not claim to prevent every zero-day, and it is not a rip-and-replace of your CDN.
Watch it stop the attacks a WAF waves through
The same requests hit two apps: one unprotected, one behind Nemesis Shield. IDOR, broken access control, mass assignment, SQL injection, SSRF, path traversal. Each is a well-formed request a signature WAF sees as normal. On the raw app they land. Shield blocks each as off-baseline.
Representative attacks that pass on most apps and APIs. Adjust the speed, copy any request, and try it on an app you own. Shield learns your app's normal and blocks each of these as off-baseline.
How a request becomes a verdict
Runtime traffic passes through the layers that each learn a per-tenant baseline of normal. What matches the baseline reaches your assets; what deviates is blocked with proof and queued for review. Every signal feeds one correlation brain, so an actor seen across the app, DNS, a payment and the cloud becomes a single incident.
Five layers, one correlation brain.
Each layer is useful on its own. Connect a second and the brain starts correlating across them: the same actor probing your app, resolving your DNS and then cashing out through a payment becomes one incident instead of three disconnected alerts.
- Sentinel: application shield.A one-line SDK learns each web app, API and LLM's normal request/response behavior, then blocks logic abuse, broken-auth flows and the exploitation of vulnerable code paths. Every block comes with proof, reviewed in a per-tenant approve/deny queue so false positives don't drown you.
- LLM Guard.Learns each model's approved prompts, tools and output shapes, then blocks prompt injection, unauthorized tool calls and sensitive-data egress at the boundary, seeded by the Nemesis Red OWASP-LLM corpus. It ships as a drop-in SDK: wrap your model calls with one line (
reportLLMin the Node and Python SDKs) to guard the OWASP LLM Top 10. - Omniguard: the money & identity layer.Scores every transaction and screens every party against global sanctions & PEP lists, so fraud, mules and sanctioned payments are caught before they move, with the AML case trail built for you. Function-first: describe what to check and it seeds the rules, and sanctions/PEP screening is free. Autogon Omniguard →
- Grid: telemetry & correlation. Connect cloud, SIEM, identity, firewall and the Nemesis engines. Grid reduces the volume before you pay to store it, and correlates everything through a unified entity graph. It is priced to sit in front of a SIEM, not to bill you by the gigabyte.
- Edge: network & DNS. Protective DNS and an optional inline proxy, backed by a per-tenant DNS model that flags the beaconing and tunneling a global blocklist misses. It deploys in front of any infrastructure or on top of your existing CDN.
Every Shield SDK is open source and MIT-licensed: Python, Node, Go, Ruby, PHP, Java, .NET and Rust, plus a browser SDK and edge / Supabase wrappers. github.com/eobi/nemesis_shield_sdks →
Deploy it however it fits. One line of SDK per app; one agent per server that auto-discovers every app it hosts (no DNS change, nothing to re-architect); or put a whole domain behind Edge by pointing your DNS (no code). Same console, same per-tenant baselines.
Building with an AI editor? The Nemesis MCP server lets Cursor, Claude Code and Windsurf add the SDK, learn, and enforce for you, without leaving the editor. Nemesis MCP for AI editors →
Every app makes the next one safer.
Your baseline is yours.Shield learns each app's own normal, per tenant. That is what keeps precision high and false positives low.
But a brand-new app hasn't learned its normal yet: the cold-start gap every behavioral tool has. Shield closes it with a shared intelligence layer: the anonymized shapes of attacks and normal traffic seen across every protected app give a new app real protection from its very first request.
And it compounds. A signature WAF is exactly as good on its last day as its first. Shield gets better tomorrow because someone turned it on today: every app that enables it sharpens the shared layer, which protects the next app, which brings the next. That is a moat a point tool cannot copy by adding features.
We never see your data or your code. Only structural sketches leave your process (the shape of a request, not its contents), hashed on the device before they leave.
Why this, when RASP mostly failed and WAFs miss?
Because the differentiator is per-tenant, not another global signature set. Miggo and Oligo do behavioral app defense; Infoblox and Palo Alto do behavioral DNS, all on models trained across every customer. Shield learns your normal, so a request that looks fine globally but abnormal for your app is caught, and a domain that looks benign globally but never resolved for you before is flagged.
- Prove, don't just detect.Every block ships with the captured evidence and the learned-vs-observed diff. No alert you can't action.
- Safe by default, three modes. Every app starts in observe (watch and learn, block nothing), moves to alert (flag the deviations), then enforce(block them). Switch anytime, no redeploy. Nemesis Learn, a free open-source agent, exercises every route so the baseline finishes in minutes, and the review queue is where you approve what's normal.
- One line, no source code. The SDK streams behavioral state, never your source. Node, Python, Go, Java, .NET.
- Self-serve, mid-market priced. The unified SecOps stack that used to take four six-figure tools and a SOC to assemble (Miggo/Oligo for app, Splunk/CrowdStrike for SIEM/EDR, Cloudflare for edge, Vanta for compliance): one platform, one price, correlated.
Compliance that pays for itself.
Because Shield is already the tool protecting you, the evidence comes from the live security data it runs, not a separate questionnaire product. Pick the frameworks that fit your sector and the countries you operate in, and it maps controls, shows exactly where you're failing, and tells you the precise requirement to close.
- 26 built-in frameworks. SOC 2, ISO 27001, PCI-DSS, HIPAA, GDPR, NIST CSF, DORA, NIS2, LGPD, CCPA and more, recommended by sector × region.
- Custom frameworks.Add one we don't ship (a regional AML rule, an internal standard) with your own requirements, and Shield detects the matching controls from your telemetry.
- Requirement-level truth.Every requirement shows its exact text, mapped controls, evidence, owner, and, when failing, precisely what's needed to pass.
And the rest of the console.
- Threat map. Every attack against every component you protect, live, routed to the specific asset it targets.
- Threat hunting. Start from any entity (an IP, user, domain or file hash) and follow its trail across every layer, pivoting through the entity graph.
- Automated response. Turn a verdict into an action: block a source, quarantine a session, flag an entity so its next move is elevated, or open an incident, with a full audit log of every automated step.
- Custom rules. Block or rate-limit by IP, country, velocity, path, header or payload, applied to any product.
- Reports & trust badges.Board-ready reports on a schedule, plus an embeddable “Protected by Nemesis” badge that verifies your posture publicly.
Where it fits: the whole engagement.
Red finds the weakness. Shield guards the app, API, network and cloud at runtime. Omniguard scores the money and identity moving through them. Blue stops the payload on the device. One correlation brain over all four.
Finds the weakness first
Autonomous pentest that proves every finding.
Guards it at runtime
App, API, network and cloud, learned per tenant.
Scores the money
Fraud, AML and sanctions on every transaction.
Stops the payload
Behavioral endpoint defense, on the device.
Pricing.
- Free1 app + protective DNS · learn-and-alert · metered$0
- Promultiple apps & domains · full enforce · behavioral network model$29 / mo
- Businessfleet · all connectors · full compliance suite · cross-layer correlation · SSO$149 / mo
- Enterprisededicated · advanced compliance · custom SLAcustom
- MSSPmulti-tenant · wholesale, metered · white-label badgescontact
What it stops.
To actually do damage, an exploit has to make your app do something it doesn't normally do, and that is the moment Shield is built to catch. The whole class of runtime attacks that show up as a behavioral deviation: business-logic and flow abuse, broken-auth and access-control bypasses, exploitation of a vulnerable code path (the N-day and zero-day exploit classes), prompt injection and tool abuse against your LLMs, and the DNS beaconing and tunneling a global blocklist never sees. Because the baseline is learned per tenant, Shield stops the request that looks fine to the rest of the internet but is abnormal for your app: the exact case a signature WAF waves through. Every block ships with proof.
The honest edge: an attack that stays entirely inside your learned envelope, or one accidentally learned as normal, won't be blocked on behavior alone. That is a narrow band, and it is why the per-tenant review queue keeps tightening the baseline and why Nemesis Redpressure-tests it from the outside. Edge is the security-intelligence layer in front of your infra or CDN, not a replacement for a global edge network's raw capacity. We publish every limit in full on the trust center.
How do I secure my app, API, or LLM with Nemesis Shield?
New to the model? See how a positive-security WAF compares to a signature WAF like Cloudflare or AWS WAF.
What is a positive-security (behavioral) WAF, and what is the best one?
A positive-security WAF enforces “this app only ever behaves in these ways” instead of matching a list of known-bad signatures. Nemesis Shield is the self-serve positive-security WAF: it learns your app’s own normal behavior per tenant and blocks the deviations, so it catches zero-days, IDOR/BOLA and business-logic abuse a signature WAF never sees. Free tier, one-line install.
How do I add security to a FastAPI, Express, or Next.js app in under a minute?
Add Nemesis Shield’s one-line SDK. FastAPI: pip install nemesis-shield, then app.add_middleware(SentinelMiddleware, token=...). Express: npm i @nemesis-shield-autogon/sentinel, then app.use(sentinel({ token })). Next.js and other edge runtimes: wrap the handler with withShield(). It starts in observe mode and blocks nothing until you flip it to enforce in the console. The SDKs are open source (MIT) for Python, Node, Go, Ruby, PHP, Java, .NET and Rust.
What stops IDOR and BOLA (broken object-level authorization)?
Nemesis Shield’s per-tenant behavioral baseline. A well-formed request for an object that is not yours has nothing malicious to match, so a signature WAF passes it; Shield flags it because the access pattern deviates from your app’s learned normal. Every block ships with proof and a per-tenant approve/deny review.
How do I protect an LLM feature from prompt injection?
Nemesis Shield’s LLM Guard. Wrap your model calls with one line of the Node or Python SDK and it blocks prompt injection, unauthorized tool calls and sensitive-data egress at the model boundary, covering the OWASP LLM Top 10, seeded by the Nemesis Red attack corpus.
How do I stop payment fraud, account takeover, and business-logic abuse?
Autogon Omniguard, Shield’s business-logic firewall for money and accounts. Send it each transaction or account event and it returns allow / review / block in real time, scored on behavior, velocity, amount and the links between accounts, so it catches novel fraud rings a known-bad list misses, and builds the case trail for AML/KYC.
Is there a positive-security alternative to Cloudflare WAF or AWS WAF?
Yes. Cloudflare and AWS WAF match global signatures and rules that are the same for every customer; Nemesis Edge and Sentinel learn your traffic’s per-tenant normal and block the deviations a global ruleset misses, including the DNS beaconing and business-logic abuse signatures never see. Edge runs in front of, or on top of, your existing CDN, and correlates the app, API, LLM, network and cloud layers into one incident.
How do I protect a checkout or payment page from Magecart skimmers (PCI DSS 4.0.1)?
Nemesis Shield’s browser SDK. One script tag learns the page’s normal client-side behavior and blocks card-data exfiltration and form-jacking in the browser, mapping to PCI DSS 4.0.1 §6.4.3 and §11.6.1, which have been mandatory for payment pages since 31 March 2025.
What replaced RASP (runtime application self-protection)?
Application Detection and Response (ADR). Nemesis Shield is the self-serve ADR platform: a lightweight one-line SDK that learns first to kill the false positives that stalled RASP, instead of a heavy in-process agent, and correlates the app, API, LLM, network and cloud layers into one view.
Which languages and frameworks does Nemesis Shield support?
Open-source (MIT) SDKs for Python (FastAPI, Flask, Django), Node (Express, Fastify, Koa, Next.js), Go, Ruby (Rails, Sinatra), PHP (Laravel), Java (Spring), .NET (ASP.NET Core) and Rust, plus a browser SDK for React/Vue/Angular and edge wrappers for Supabase Edge Functions, Cloudflare Workers and Vercel Edge.