Stop OWASP Top-10, Bots & L7 AttacksโWithout Breaking UX
A Web Application Firewall (WAF) and Bot Management platform protect your websites, APIs, and apps against OWASP Top-10, credential stuffing, carding, scraping, and Layer-7 DDoSโwhile keeping user experience fast.
SolveForce designs WAF/Bot as part of a Zero-Trust, cloud-edge architecture with CDN, mTLS to origin, rate limits, virtual patching, and audit-grade evidence in SIEM.
Where WAF fits in the SolveForce model:
๐ Security (Semantics) โ Cybersecurity โข ๐ Analytics/Automation โ SIEM / SOAR
๐ Edge Delivery โ CDN โข ๐ On-Ramps โ Direct Connect
๐ง Decision Layer โ SolveForce AI โข ๐ง Fabric โ Networks & Data Centers
๐ฏ Outcomes (What you get)
- Real protection, low false-positivesโ OWASP Top-10 rules + behavioral/ML signals + allowlists.
- Bot defense that worksโ stops credential stuffing, carding, scraping, inventory hoarding; preserves good bots.
- L7 DDoS resilienceโ rate-limits, circuit breakers, auto-mitigation at the edge.
- Fast rolloutโ virtual patch 0-days in minutes; staged rule deployment; instant rollback.
- Evidence & controlโ full logs to SIEM, versioned rules, approvals, and RCA packs.
๐งญ Scope (What we protect)
- Web apps & sitesโ forms, sessions, static/dynamic content (HTTP/2 + HTTP/3 QUIC).
- APIsโ REST, GraphQL, gRPC/JSON; schema-aware validation, method/verb control, auth checks.
- Edge endpointsโ CDN POPs, Anycast front doors, multi-cloud ingress. โ CDN
- Originsโ private or in colo; origin cloaking (allowlist WAF/CDN egress only). โ Colocation
๐งฑ Controls (Spelled out)
Core WAF
- OWASP Top-10signatures & behavior rules (SQLi, XSS, SSTI, RCE, SSRF, XXE, deserialization).
- Positive Security(allow-only) for critical flows (checkout, auth, admin).
- Schema-aware API protection(OpenAPI/GraphQL schema validation, strict verbs, payload size/type).
- mTLS to origin, HSTS, TLS 1.3; secure headers (CSP/Referrer-Policy/Frame-Options). โ Encryption โข PKI
Bot Management
- Good-bot registry & allowlists(search engines, monitoring).
- Device & browser fingerprinting, behavioral signals (mouse/scroll/timing), JS challenges, non-visual puzzles.
- Credential stuffing/card testingmitigation: velocity limits, IP/ASN/geo risk, step-up MFA hooks. โ IAM / SSO / MFA
- Scraping protectionrate limits per path/identity; tokenized assets; watermarking.
L7 DDoS & Abuse
- Adaptive rate-limiters (per IP/session/API key/tenant).
- Circuit breakers for surges; progressive challenge โ block.
- Anycast withdraw / SD-WAN sinkhole for sick POPs. โ BGP Management โข SD-WAN
- Pair with network DDoS for L3/4. โ DDoS Protection
๐งฐ Architecture (Fast, safe, reversible)
- Edge firstโ rules run at CDN/WAF edge POPs; origin cloaked behind allowlists/mTLS. โ CDN
- Staged rolloutโ canary % โ region ring โ global; auto-rollback on SLO dip.
- Change as codeโ versioned policies; PR approvals; CI smoke tests.
- Observabilityโ near-real-time logs, traces, and metrics to SIEM; red/green dashboards. โ SIEM / SOAR
๐ SLO Guardrails (Experience & safety you can measure)
| SLO (p95) | Target | Notes |
|---|---|---|
| Edge added latency | โค 5โ15 ms | Per request at POP |
| Rule deploy โ live | โค 60 s | With staged canaries |
| Block/allow propagation | โค 60โ120 s | Global POPs |
| False-positive rate | โค 1โ2% | After tuning |
| DDoS auto-mitigation start | โค 30โ60 s | From surge detect |
| Evidence completeness | 100% | Rule version + logs + action |
| Availability (edge fabric) | โฅ 99.95โ99.99% | Multi-POP |
SLO breaches trigger SOAR fallback/rollback automatically. โ SIEM / SOAR
๐งช Tuning Loop (Keep signal high, noise low)
1) Observe canary metrics (latency/FPs/challenges solved).
2) Refine rules (exclude safe params, add positive models); promote canary โ region โ global.
3) Segment policies (auth, checkout, API, admin) with different strictness.
4) Model bot behaviors per route; preserve good bots.
5) Review weekly FP/FN and abuse paths; publish diffs and RCAs.
๐งฉ Integrations (Reduce MTTR, raise fidelity)
- Identity โ step-up MFA on risk; deny known bad sessions; sign/verify JWT; mTLS for partner APIs. โ IAM / SSO / MFA โข PKI
- Data โ DLP to redact/mask sensitive fields; tokenization upstream. โ DLP โข Key Management / HSM
- Network โ SD-WAN path pin, Anycast withdraw; NAC quarantine suspicious sources inside WAN. โ SD-WAN โข BGP Management โข NAC
- NDR/EDR/XDR โ correlate C2/beacons with WAF blocks; endpoint isolate on compromise. โ NDR โข EDR / MDR / XDR
- SOAR โ playbooks for blocklists, purge caches, revoke sessions, notify owners. โ SIEM / SOAR
๐ Zero-Trust Edge (Practical policies)
- Origin cloakingโ only WAF/CDN IPs may reach origins; private on-ramps for app backends. โ Direct Connect
- mTLS to originโ cert-bound services; short-lived cert rotation. โ PKI
- Signed URLs/Cookiesโ time-boxed access to assets; prevent link-sharing abuse.
- Per-tenant limitsโ rate/quotas keyed by customer/partner/app token.
- RBI / Read-onlyisolation for risky flows; API keys re-issued via PAM if leaked. โ PAM
๐งญ Reference Patterns (By outcome)
A) API-First App (REST/GraphQL/gRPC)
- Positive model (schema); strict verbs; HSTS/TLS1.3; JWT verify; per-key rate/quotas; mTLS partner flows; DLP on responses.
B) Auth & Checkout
- Bot defense (credential stuffing/carding); device fingerprint; step-up MFA on risk; CSP; replay protections; signed cookies.
C) Content & Media
- CDN tiered cache + WAF; anti-scraping; tokenized URLs; watermark; multi-CDN failover.
D) 0-Day Virtual Patch
- Emergency pattern deployed at edge in < 60 s; staged rollout; health monitors; auto-rollback if SLO dips; IR case with evidence.
๐ Compliance Mapping (Examples)
- PCI DSSโ protect card entry pages; block card testing; log and retain evidence.
- HIPAAโ PHI masking; mTLS; audit trails.
- ISO 27001โ A.12/A.13 controls for app and network security.
- NIST 800-53/171โ SC/AC families (boundary protection, access control).
- CMMCโ boundary, monitoring, incident evidence.
All actions/decisions stream to SIEM with WORM options and case IDs. โ SIEM / SOAR
๐ ๏ธ Implementation Blueprint (No-surprise rollout)
- Inventory endpoints (apps/APIs), routes, auth flows, known good bots.
- Pick edge (CDN/WAF POPs) and origin controls (mTLS, allowlists). โ CDN โข Direct Connect
- Define policies per surface (auth, checkout, API, admin, media).
- Canary first โ deploy to 1โ5%; measure FPs/latency; iterate; promote to regions โ global.
- Wire analytics โ logs/metrics to SIEM; SOAR playbooks for block/rollback/purge. โ SIEM / SOAR
- Runbooks โ 0-day virtual patch, bot surge, carding, scrape spikes; RCAs and weekly deltas.
- Drills โ blackhole, origin lock-down, rate-limit stress, Anycast withdraw.
โ Pre-Engagement Checklist
๐ Where WAF / Bot Fits (Recursive View)
1) Grammar โ traffic rides Connectivity and the Networks & Data Centers fabric.
2) Syntax โ Cloud & CDN shape delivery and caching.
3) Semantics โ Cybersecurity preserves truth; WAF proves boundary control.
4) Pragmatics โ SolveForce AI reduces noise, predicts surges, and auto-tunes policies.
5) Foundation โ consistent terms via Primacy of Language.
6) Map โ indexed in SolveForce Codex & Knowledge Hub.
๐ Deploy WAF / Bot Thatโs Fast, Safe & Auditable
Related pages:
Cybersecurity โข CDN โข DDoS Protection โข SIEM / SOAR โข IAM / SSO / MFA โข ZTNA โข SASE โข SD-WAN โข BGP Management โข DLP โข Encryption โข Networks & Data Centers โข Knowledge Hub
Key terms in plain language
Open a term for a concise explanation of language used on this page.
Latency
The time it takes data to travel between two points. Lower latency improves voice, video meetings, cloud applications, gaming, and other real-time services.
SD-WAN
Software-defined wide area networking. It manages multiple connections and chooses paths based on application needs, performance, and policy to improve resilience and control.
Cybersecurity
The practices and controls used to protect identities, devices, networks, applications, and data from unauthorized access, disruption, or manipulation.
Zero Trust
A security model that does not automatically trust a user or device because of its location. Access is continuously verified and limited to what is necessary.
SASE
Secure Access Service Edge combines networking and security capabilities in a cloud-delivered architecture so users and locations can receive consistent policy wherever they connect.
Identity and Access Management (IAM)
The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.
Multi-Factor Authentication (MFA)
A login control requiring more than one form of verification, such as a password plus an authenticator app, security key, or biometric factor.
MDR / XDR
Security services and tools that monitor activity, investigate suspicious behavior, and help contain threats. MDR is managed detection and response; XDR correlates signals across multiple security layers.