Not Only Blocks the Threat — It Names It
WAAP detections turn into incidents that SOC, SIEM, and compliance teams can use, with OWASP, CWE, CAPEC, and MITRE ATT&CK context.
TR7 WAAP does not leave web and API attacks as raw log lines. By correlating detections with OWASP, CWE, CAPEC, and MITRE ATT&CK context, it turns them into incidents SOC teams can interpret more quickly.
The behavioral engine adapts to your organization's traffic patterns. Bot management, virtual patching, DDoS protection, and modern cryptography capabilities run together within the same platform architecture.
Broad coverage, clear mapping, measurable defense.
A blocked threat becomes not a raw log line but a framework-mapped event that a SOC team can use directly.
Blocking Isn't Enough — Naming Is Required Too
Traditional WAAP vendors stop the threat but do not correlate it with the frameworks SOC and SIEM understand. TR7 delivers framework context with every detection.
Coverage the SOC, SIEM, and Audit Teams Understand
Every detection is delivered mapped to the industry frameworks already in use.
This framework mapping ensures that TR7's output can be correlated directly with your organization's existing SIEM and reporting flows. WAAP attack reporting and compliance reporting run as components of the same engine.
Detection That Adapts to Your Organization
Generic signature rules aren't enough; the detection engine must learn the organization's traffic characteristics.
TR7's behavioral engine continuously learns your organization's traffic baselines. Detection accuracy improves over time; legitimate users pass through without friction while anomalies are flagged early. Bot management and virtual patching run on the same engine.
Hardware-Accelerated Detection
Eleven-factor weighted bot scoring that analyzes TLS fingerprints, IP reputation across 25 categories, behavioral patterns, and known-malicious signatures. An exponential scoring curve keeps false positives low for your organization.
Adaptive Behavioral Analysis
The engine learns your organization's traffic patterns and continuously improves. Every data point analyzed sharpens detection accuracy for your environment.
Precise Automatic Action
Based on the threat score, automatic blocking, quarantine, or rate limiting can be applied at the country, ASN, or IP level. Microsecond response times don't delay legitimate traffic.
Multi-Layered Defense Without Speed Loss
L3-L7 attack layers are processed on the same engine; legitimate user traffic continues to flow at full speed.
TR7's DDoS protection starts with hardware-level packet filtering and extends to the application layer. Adaptive DDoS baseline learning learns your organization's traffic characteristics; operator-confirmed thresholds become applicable policies. For the detailed protection approach, see the DDoS mitigation solution page.
Hardware-Level Blocking
Where supported, malicious traffic is filtered at the hardware level. An optimized software layer steps in seamlessly for comprehensive protection.
Precise Attack Controls
Country-, ASN-, and IP-based filtering; connection limits; TCP/UDP flood protection; line-rate protocol validation.
A Response That Protects Legitimate Traffic
Traffic quarantine, bandwidth limiting, and filtering across more than 20 attack types — the user experience is preserved even during an attack.
An Architecture Prepared for the Post-Quantum Cryptography Transition
A modern TLS architecture for ML-KEM- and ML-DSA-based transition scenarios.
The post-quantum cryptography transition should be evaluated not just based on product support, but together with client, certificate-infrastructure, and application compatibility. TR7's architecture is prepared to support ML-KEM- and ML-DSA-based transition scenarios. In environments with appropriate client and certificate infrastructure, hybrid key-exchange models can be evaluated; this approach aims to smooth the transition period alongside classical algorithms.
Post-Quantum Key Exchange (ML-KEM)
ML-KEM-512, ML-KEM-768, and ML-KEM-1024 — NIST FIPS 203 standard. In environments with appropriate client and TLS infrastructure, hybrid key-exchange scenarios can be evaluated.
Post-Quantum Digital Signatures (ML-DSA)
ML-DSA-44, ML-DSA-65, ML-DSA-87 — NIST FIPS 204 standard. The quantum-safe digital signature transition should be planned together with certificate-authority and client compatibility.
Broad Cryptographic Set
40+ signature algorithms, 10+ key-exchange groups. ED25519, ED448, ECDSA with the SHA-3 family, RSA, and other classical and modern algorithms in a single engine. Full TLS 1.3 with Perfect Forward Secrecy, 0-RTT session resumption, and OCSP Stapling.
Post-quantum transition scenarios should be evaluated based on client, TLS library, certificate authority, and application compatibility. TR7's supported hybrid modes can be used in appropriate environments to run classical and quantum-safe algorithms side by side for a gradual transition.
For related technical context, see our TLS 1.3 migration note and post-quantum 2030 timeline articles.
Zero Trust Architecture — Not a Bolted-On Module
Zero-trust principles are applied natively at every layer, not as a separately licensed add-on.
TR7's zero-trust approach combines identity, device, session, and behavior signals in a single decision engine. The Application Access Manager (AAM) provides the authentication and federation layer; continuous trust evaluation monitors the risk level throughout the session.
Continuous Verification
Every access request goes through authentication, authorization, and encryption. Verification continues throughout the session.
Microsegmentation
Granular policies applied at the workload level limit lateral movement. Each application operates within its own policy area.
Least-Privilege Access
Users and systems are given only the permissions they need. Risk score, device posture, and behavior signals dynamically adjust the policy.
Zero-Data-Access Visual Isolation
Browser isolation solutions hide the code; ZeroLeak also prevents AI vision from extracting on-screen content.
ZeroLeak processes web applications in isolated containers and sends only pixel data to the client — no HTML, JavaScript, or API data is transmitted. It includes multi-layered anti-OCR, two-layer leak attribution, and full forensic recording integration. See the ZeroLeak detail page for architecture and deployment scenarios.
Multi-Layered Anti-OCR
Image noise, color shifting, micro-blur, element shifting, sub-pixel jitter, and XY translation — each independently configurable. Makes content extraction harder for AI vision models.
Two-Layer Leak Tracking
User identity, timestamp, and IP are automatically embedded. They remain visible on every background through mix-blend-mode. The source of a leak is traceable.
Full Session Recording
H.264 video, screenshots, keystrokes, mouse tracking, and clipboard monitoring — an integrated chain of evidence for audits.
ZeroLeak Evaluation is included with every TR7 bundle — 1 concurrent user, 30 minutes per day, with all features enabled.
Broad coverage, clear mapping, measurable defense.
TR7's security approach aims to do more than block the attack: deliver understandable events to the SOC team, reportable evidence to the compliance team, and actionable response to the operations team.
See the Security Coverage Live
In a live demo, let's review TR7's signature database, framework mappings, and behavioral detection engine together with your own scenarios.
Capability scope, performance figures, license models, and support tiers described on this page may vary depending on the deployment, license package, hardware model, and selected support program. For detailed scope, please review the relevant product, license, and support pages.