Continuous Automated Red Teaming (CART) âĸ Pattern-First Reasoning (PFR) âĸ Real Physical Silicon & USB Mobile Bridges âĸ 4-Engine Desktop Computer Use âĸ Zero-Noise Proof-of-Exploitation & Automated PR Hotpatches
Seamlessly pivot between Zero-Knowledge, Partial-Access, and Full-Source operational assessment models without changing toolchains.
The ultimate benchmark of AI autonomy. Supply only an external domain, CIDR IP block, or raw APK binary. The swarm navigates the full kill chain from perimeter OSINT to exploit chaining with zero prior credentials.
Provided with low-privilege user credentials or API OpenAPI/Swagger specifications. Audits multi-tenant isolation, cross-account BOLA/IDOR vulnerabilities, and internal network pivots from footholds.
Full access to source code repositories, Infrastructure-as-Code (Terraform/K8s), and cloud IAM configurations. Merges static code taint tracking with live runtime exploit proofs to guarantee zero false positives.
Unified multi-tab cockpit orchestrating isolated Kali Linux runtimes, active CDP browser streams, desktop GUI suites, and physical hardware bridges.
Select an offensive security scenario below to preview RedHunter AI's multi-agent attack plan, execution deltas, and verified evidence capture.
Watch RedHunter AI autonomously discover, probe, and remediate enterprise zero-day business logic vulnerabilities in real time.
Launch continuous automated red team swarms, eliminate false-positive noise, and secure modern cloud, API, mobile, and hardware attack surfaces with deterministic proofs.
Moving far beyond simplistic LLM wrappers. RedHunter AI operates as a stateful, human-equivalent red team swarm capable of reasoning, physical execution, and deterministic exploit synthesis.
Dynamic ADB resolver auto-discovers Android SDKs across Windows, macOS, and Linux. Injects pixel-perfect touch taps, directional swipes, and hardware keys (`/system/bin/input`). Discovers installed apps, extracts APKs, audits SQLite databases (`run-as`), and bypasses SSL pinning via automated Frida scripts. Deep mastery of Apple iOS & macOS: synthesizes AppleScript/JXA, manipulates physical iPhones via `pymobiledevice3`, parses Mach-O symbols, and audits ARM64 assembly.
Operates with zero container boundaries. Bridges the operator's host machine into physical serial COM/tty ports, RJ45 Ethernet NICs, and silicon programmers. Features Autonomous Hardware ID with zero unsupported device refusals: dynamically queries vendor/product IDs, researches online pinouts and registers, and synthesizes C/Rust/Go harness code on the fly. Auto-locks baud rates (115200â9600), interrupts U-Boot/Cisco ROMMON bootloaders, extracts SPI NOR/NAND flash memory via SOIC8 clips (CH341A/FT232H), and carves SquashFS/JFFS2 partitions with `binwalk`.
Automates web penetration testing across two complementary browser engines. Connects via Chrome DevTools Protocol (CDP) to the operator's active Chrome/Edge browser, inheriting authenticated SSO sessions (AWS Console, GitHub, Jira) with zero cookie leakage. Injects an active visual neon perimeter HUD and interaction lock shield with manual takeover. Simultaneously dispatches untrusted links into isolated remote Browserbase CDP instances with 60fps canvas streaming.
Coordinates specialized subordinate AI agents across isolated memory frames to eliminate context window bloat during multi-hour campaigns. Every agent exposes standardized JSON agent cards (`.well-known/agent.json`). Specializations include `recon_specialist` (subdomains, ASN, ports), `exploit_reviewer` (disassembly, PoC verification), `code_auditor` (SAST taint tracking), and `network_exploiter` (protocol fuzzing and lateral pivoting).
Directly drives desktop security suites (Wireshark, Burp Suite Pro, Ghidra, Postman) running inside the isolated Kali Linux Virtual Desktop (`DISPLAY=:1`). Powered by 4 engines: Fast Frame Grab via `mss` and `scrot` for sub-100ms streaming over WebSockets; Input Injection via `xdotool`, `xte`, and `ydotool`; Semantic AT-SPI accessibility tree navigation (`pyatspi`); and Task Multiplexing inside headless `tmux` sessions.
Eliminates analysis paralysis and circular reasoning. Gear 1 (Instant Reflex) executes physical actions with 0 thinking tokens. Gear 2 (Speculative Parallel Canaries) executes 2â4 lightweight non-blocking probes concurrently via `Promise.all`. Gear 3 (Swarm DAG Fanout) distributes complex attack trees. Enforces State-Differential Reality Checks to break loops after 2 stagnant turns and permanently records dead ends in a Tabu ledger.
Proprietary 8-Tier Memory Architecture: Episodic (active IP scopes and engagement timelines), Semantic (vector embeddings of CVE signatures and past exploits), Procedural (executable playbooks and verified harnesses), Working (active context window frame), Topological Cyber Graph (Dijkstra shortest attack paths from foothold to crown jewels), Tabu Negative Memory (dead-end recording preventing repetitive fails), Long-Term Archive, and Swarm Telemetry. Bidirectional `ENGAGEMENT_NOTES.md` disk syncs every 4 seconds.
Pre-loaded Docker microVM equipped with `nmap`, `naabu`, `httpx`, `ffuf`, `sqlmap`, `nuclei`, and `trivy`. Full Digital Forensics suite with Universal Removable Storage Forensics: automated bit-stream raw disk imaging (`dd`/`dcfldd`) for USB flash drives, SD cards, and external NVMe/SATA media. Cryptographic SHA-256/MD5 chain-of-custody verification, deleted file carving with `photorec`, unallocated slack space recovery, and filesystem timeline analysis via The Sleuth Kit (`fls`, `icat`, `fsstat`).
Native Anthropic MCP client/server exposing RedHunter AI capabilities via JSON-RPC 2.0. Dynamically registers external security servers and integrates with Composio for 100+ platforms including GitHub, Jira, Slack, AWS, and Linear. Integrates with Pipedream to trigger automated webhooks notifying SecOps channels when critical vulnerabilities are confirmed.
Proactively deconstructs multi-step attack objectives into structured checklists (`todo_write`). As each phase completes, the agent invokes `todo_write({ merge: true, ... })` to update completion checkmarks in real time without screen refresh. Operators can queue mid-flight guidance messages into the active agent context without interrupting tool execution.
Dissects crashes down to C-level root causes by ingesting GDB crash outputs and core dumps (fault addresses, signals, and registers). Audits memory mitigations (ASLR, DEP/NX, Stack Canaries, PIE, RELRO) and maps vulnerabilities to official CWE identifiers (`CWE-120`, `CWE-121`, `CWE-416`). Synthesizes ready-to-merge C/Rust/Python hotpatch diffs paired with reproducible curl scripts and raw terminal traces.
Military-grade RF spectrum monitoring and satellite communications (SATCOM) auditing mapped to the Aerospace SPARTA Top 15 controls: RTL-SDR & HackRF spectrum analysis, satellite ephemeris TLE orbital pass prediction, and Hamlib `rotctl` antenna tracking. Paired with a 12-layer deepfake forensic suite: rPPG green-channel pulse, shadow ray solar angles, audio-visual phoneme-viseme sync, PRNU sensor noise ballistics, and courtroom-admissible FRE Rule 902(14) PDF dossier generation.
Audits industrial automation and critical infrastructure against the Purdue Model. Inspects Modbus TCP registers, Siemens S7comm communications, DNP3 protocols, and PLC safety interlock boundaries.
Deep white-box SAST fusing Abstract Syntax Trees (AST), Control Flow Graphs (CFG), and Program Dependence Graphs (PDG) to trace user-controlled tainted inputs into dangerous system sinks across C/C++, Rust, Go, Java, and TypeScript.
Strict 4-step verification protocol (Hypothesize â Exploit â Independent Execution Trace Verification â Deterministic Proof). Completely eliminates LLM hallucinations and produces reproducible curl and terminal evidence.
| CAPABILITY / METRIC | TRADITIONAL PEN-TEST | LEGACY DAST SCANNERS | REDHUNTER AI PLATFORM |
|---|---|---|---|
| Audit Cadence | Annual / Periodic (1x/yr) | Scheduled / Triggered scans | 24/7 Continuous CART Swarm |
| Turnaround Time | 4â8 weeks per audit | Hours (produces raw output) | Minutes to hours (Live PoC) |
| False-Positive Rate | Low (manual filter, but slow) | 70%â80%+ False-Positive Noise | 0% Noise (Verified PoC Traces) |
| Multi-Step Logic & APIs | Manual human bottleneck | Zero business logic reasoning | Autonomous Pattern-First Reasoning |
| Physical & Mobile Testing | Requires separate specialized lab | Zero physical hardware capability | USB Mobile + Hardware Serial/SPI |
| Remediation Output | 80-page static PDF document | Generic vulnerability descriptions | Automated GitHub/GitLab PR Hotpatches |
Experience the unified multi-surface operational cockpit that powers RedHunter AI's autonomous red team engagements.
We are currently pre-launch and building in public. We are engineering exactly what the security community needs â removing the 4-week audit bottleneck and eliminating 80% false positives. Secure your queue position and share your operational advice to directly steer our multi-agent swarm.
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Real-time stream of security professionals, red team leads, researchers, and students who have joined our waitlist and provided roadmap advice:
Born from deep frustration with legacy security: months-long manual penetration tests, 80% false-positive scanner noise, and tools trapped inside web browsers while real adversaries breach physical silicon and orbital telemetry.
RedHunter AI was conceived by Sunny Thakur (Founder & Systems Architect). For years, offensive cybersecurity has suffered from an absurd paradox: cloud infrastructure, microservices, and AI applications evolve at machine velocity, but enterprise security still relies on once-a-year manual penetration tests that cost $50,000 and take 4 to 8 weeks to deliver a static 80-page PDF.
Automated scanners were supposed to fix this â yet legacy DAST tools merely flood SecOps inboxes with 80% false-positive noise, static regex alerts, and zero exploit validation. Sunny realized that true defense requires human-equivalent adversarial thinking operating continuously at machine speed: a multi-agent swarm that doesn't just guess vulnerabilities, but proves them with deterministic execution traces and ready-to-merge remediation hotpatches.
"Real adversaries don't restrict themselves to web forms or standard API endpoints. They tap hardware serial lines, extract flash memory chips, manipulate USB mobiles, and compromise orbital telemetry. If your red team can't touch physical reality, your defense is an illusion."
We strategically base our company in Vancouver, British Columbia, Canada. Vancouver provides immediate alignment with US Pacific Time (PST), making real-time pilots, live operations, and customer support with Silicon Valley and North American enterprises instantaneous.
British Columbia offers a premier deep-tech engineering ecosystem, robust cross-border access to Seattle and San Francisco, and streamlined international immigration channels that allow us to recruit elite systems programmers, kernel exploit researchers, and hardware hackers globally.
We do not believe in ivory-tower cybersecurity. We are currently pre-launch and building RedHunter AI transparently with our early waitlist cohort. Every feedback submission, advisory questionnaire answer, and feature request directly shapes the tools we ship.
Every finding must be backed by reproducible deterministic Proof-of-Exploit (PoE) terminal traces and curl scripts. No theoretical noise or hallucinated CVE matches.
RedHunter AI shatters container barriers, bridging real serial UART ports, SPI flash SOIC8 clips, physical mobile phones over USB, and software-defined radio SATCOM streams.
Defense is the ultimate objective. For every validated vulnerability, RedHunter AI automatically synthesizes ready-to-merge GitHub/GitLab pull request hotpatch diffs.
Connect with our core offensive security architects to discuss custom VPC deployments, hardware lab testing, or continuous red team onboarding.