One unified model gateway
Every major model, smart routing that can cut AI spend by up to 40%, no lock-in, and a single commercial relationship. Compliance-aware controls sit in the same path.
CWG Innovations / RealRelay.ai
Your AI is only as safe as your cyber.
Every AI platform sells models, routing, and agents, then leaves security to somebody else: a separate vendor, a separate contract, and an annual pentest that is out of date soon after it lands. RealRelay.ai brings autonomous red teaming into the same platform, gateway, console, and commercial relationship.
Every major model, one gateway
Typical AI platform
Yes
RealRelay.ai
One unified model gateway with compliance-aware controls and no lock-in
Smart routing to cut cost
Typical AI platform
Rarely
RealRelay.ai
Up to 40% lower AI spend
Marketplace of industry agents
Typical AI platform
Some
RealRelay.ai
Clinical, media, finance, and cyber agents configured for regulated deployments
Air-gapped / on-premise option
Typical AI platform
Rare
RealRelay.ai
Customer-managed keys with no outbound telemetry
Autonomous red team built in
Typical AI platform
Buy it separately
RealRelay.ai
An AI red team agent with 22 attack phases
What security costs you
Typical AI platform
A second vendor plus an annual engagement
RealRelay.ai
Part of the platform relationship, with no separate red-team procurement cycle
You get the full AI system: every major model behind one unified gateway with compliance-aware controls, cost-cutting smart routing, and a marketplace of ready industry agents, with an autonomous, evidence-grade red team operating inside it. One platform. One bill. No separate security line item, procurement cycle, or wait for next year’s engagement window.
Turn it on against your applications, your APIs, and the AI agents you deploy on RealRelay.ai. These are surfaces traditional annual red-team engagements were never designed to cover. First findings land in minutes to hours, depending on scope, and every reported finding arrives already proven.
22
attack phases per full run
Verified
findings only, with proof required before reporting
Minutes
to first results, depending on scope
Every major model, smart routing that can cut AI spend by up to 40%, no lock-in, and a single commercial relationship. Compliance-aware controls sit in the same path.
Clinical Scribe, Content Engine, AML Triage, SOC Triage, and more, pre-built and configured for regulated deployments.
An AI red team running 22 attack phases against your authorized estate and proving every reported finding.
Inside the Red Team Agent
The AI red team runs 22 sequential attack phases and proves every reported finding with a working exploit before you see it.
Passive and active subdomain enumeration, DNS resolution, HTTP probing, port scanning, technology fingerprinting, and WAF detection. Wildcard mode discovers every subdomain you own and scans each host individually.
Directory and file brute-forcing for .env, .git, backups, and stray configs; cookie security and CORS credential-theft testing; open redirects; broken-link hijacking and content spoofing; subdomain takeover through dangling CNAME and NXDOMAIN scanning.
Login logic flaws, JWT attacks, OAuth/OIDC and 2FA bypass; IDOR, ID enumeration, horizontal and vertical privilege escalation, HTTP method override; password-reset token prediction and email header injection.
XSS, SQL and NoSQL injection, OS command injection, SSTI, path traversal, and XXE; SSRF against cloud metadata and internal services; file-upload bypasses using extension, null byte, and polyglot techniques; Java deserialisation, PHP object injection, and Log4j JNDI.
Race conditions and TOCTOU, concurrent-request and price-manipulation testing, mass assignment; API endpoint discovery, Swagger/OpenAPI enumeration, GraphQL introspection, batching and DoS abuse; cross-site WebSocket hijacking; S3, Azure, and GCP bucket misconfiguration and AWS metadata SSRF; CMS-specific testing for WordPress, Joomla, and Drupal.
Behavioural differential fuzzing, parser testing, and timing analysis. This targets the class of issue that signature-based scanners structurally cannot find.
A mandatory verification phase sits between discovery and reporting. Scanner-only findings without exploitation proof are rejected. What survives reaches you with the evidence needed to reproduce, prioritize, and fix it.
A severity vector that records how the confirmed issue is scored.
Command output or equivalent evidence showing that the issue is real.
The relevant request and response, preserved for technical review.
Practical remediation guidance attached to the confirmed risk.
Reports arrive as a branded PDF with an executive summary, severity distribution, and technical analysis, or flow into your pipeline over REST API while live scan events stream as they happen. Your security team stops triaging maybes and starts closing confirmed risk.
Scope is explicit, with an out-of-scope list you control and rate limits configurable to your engagement rules. Destructive commands are blocked by default, and read-only exploitation techniques are preferred. Run the full 22-phase operation or select a focused subset, such as reconnaissance before a launch or injection testing after a release.
Browser-driven DAST covers modern single-page applications, and continuous scheduling replaces the once-a-year red-team engagement.
RealRelay.ai inherits CWG’s enterprise security stack, from PII redaction and DLP to managed SOC services, and offers fully sovereign, air-gapped deployment when regulations demand it.
Next-gen web application firewall, API discovery, and real-time bot mitigation.
Zero-trust identity with MFA, privileged access management, and threat detection.
Data-loss prevention, database masking, and HSM-backed key management.
Continuous configuration audits and compliance across AWS, Azure, GCP & Kubernetes.
The autonomous agent provides continuous, evidence-first coverage. CWG specialists remain available when an engagement calls for human-led assessment, response, or adversary simulation.
Continuous SOC monitoring detecting, analyzing, and neutralizing incidents around the clock.
Risk evaluation mapping topology to regulatory benchmarks with remediation strategies.
Human-led adversary simulation against structural defenses, systems, and employee readiness.
Rapid containment for active breaches with malware isolation and recovery support.
Run it on sovereign-ready cloud with data-residency choices, or fully on-premise and air-gapped with customer-managed keys, open models running locally, and no outbound telemetry. These are the same deployment options as the rest of RealRelay.ai because the red team is part of the same platform.
We are actively working toward SOC 2 and the CSA Cyber Essentials mark, and we do not describe ourselves as certified for anything we have not yet earned.
Deploy on isolated national or regional clusters. No raw query parameters or training telemetry ever cross regional boundaries.
The full agent + harness stack runs on your own servers with local open-weight models (Llama 3, Qwen). No external dependencies.
Helm charts or Docker Compose seed your container clusters.
Integrate PostgreSQL with pgvector and existing stores via MCP.
Deploy the runtime with scoped RAM and execution privileges.
Initiate PII sanitization and security proxies for compliant isolation.
Security is not a feature bolted onto RealRelay.ai. It is where the CWG team started, and it is why offensive testing, air-gapped deployment, and compliance-aware routing are built into the platform rather than sold alongside it.
Ask any AI vendor to prove the platform running your agents is safe. Then ask us.