Architecture & deployment design
Define traffic flows, DNS/CDN integration, load-balancer placement and deployment architecture.
Technology Partners & Solutions
Cyberdefense.ai
Protect web applications and APIs with AI-assisted behavioural analysis, virtual patching and edge security designed to respond faster than purely rule-based WAF approaches.
Overview
AI-assisted protection for web applications, APIs and data.
Modern application attacks evolve quickly and increasingly target APIs, authentication flows and application logic. Traditional signature and rule-based controls remain useful, but can require significant tuning and may struggle with novel or rapidly changing attack patterns.
Cyberdefense.ai uses behavioural and predictive analysis to identify suspicious requests, support automated blocking and provide virtual protection for vulnerable applications. CRATOS CAN helps organizations evaluate, integrate and operate the technology in the context of their application, cloud and SOC architecture.
Platform capabilities
Why consider an AI-assisted application-security layer?
The technology is designed to reduce dependence on static rule maintenance while adding modern edge and application protections.
- Predictive attack detectionAnalyze request behaviour for indicators of malicious activity, including unfamiliar payloads and evasion techniques.
- Virtual patching & hardeningApply compensating protection around exposed application vulnerabilities while permanent code remediation is planned.
- SSL/TLS policy supportMaintain modern transport-security settings and help reduce exposure from obsolete protocol or cipher configurations.
- Edge & DDoS protectionUse distributed edge delivery and application-layer protections to improve availability and absorb hostile traffic.
- Flexible deployment modelsSupport SaaS, hybrid or on-premises patterns depending on application architecture and control requirements.
Integration services
Fit application protection into the wider operating environment.
Security value depends on how the WAF is integrated with delivery, monitoring and response processes.
Policy & tuning
Establish baseline policies, tune detection behaviour and reduce avoidable false positives.
DevOps integration
Connect security controls to application-release, CI/CD and vulnerability-remediation processes where appropriate.
SOC integration
Send relevant telemetry and alerts into the wider monitoring and incident-response workflow.
Training & enablement
Prepare security, DevOps and application teams to understand events, tune policy and manage exceptions.
Managed operation option
Extend implementation into recurring monitoring, tuning and support through managed-security services.
Security outcomes
Application security with less rule-management friction.
The goal is not only to block traffic, but to make application protection faster to operate and easier to govern.
Coverage for known and unknown attacks
Add behavioural detection alongside traditional application-security controls.
Reduced operational overhead
Use automation and learning to reduce repetitive rule maintenance and triage work.
Faster compensating controls
Apply virtual protection while development teams work on permanent remediation.
API and edge visibility
Bring internet-facing application and API activity into the wider cyber-defence picture.
Clearer governance
Document policies, exceptions and response actions as part of application-security operations.
Your direct benefits
Measurable value for security teams and decision-makers.
Stronger application protection
Add controls for common web threats, zero-day-style behaviour, API abuse and malicious request patterns.
Lower operational friction
Reduce time spent maintaining large static rule bases and reviewing low-value alerts.
Faster risk reduction
Use virtual protections to reduce exposure before application code can be changed.
Flexible operating model
Deploy the technology in the architecture that best fits hosting, sovereignty and operational needs.