The Future of Security is Agentic.
Autonomous AI agents attack, defend, and learn in real time — replacing slow, expensive manual pen testing with continuous security validation that scales.
Access DashboardSecurity teams rely on periodic pentests. Attackers operate continuously.
Red team delivers a report. Blue team reads it weeks later. Nothing is validated under real concurrent attacker pressure. Defenses are never tested against a live, adaptive adversary. The gap between offense and defense is wide, slow, manual, and expensive.
Mean time to identify a breach
IBM Cost of a Data Breach Report, 2024
Mean time to contain a breach
IBM Cost of a Data Breach Report, 2024
Global average cost of a data breach
IBM Cost of a Data Breach Report, 2024
Of breaches involved a known, unpatched vulnerability
Ponemon Institute / ServiceNow, 2019
The only purple team platform where red and blue never stop fighting each other.
The industry takes about 9 months on average to find and contain a breach in a system. SENTRYFORGE compresses that entire cycle into a single simulation, where all agents work continuously, round after round.
A full 6-round session produces scored, timestamped results for every round. The 277-day industry breach window compresses to roughly 3 hours of continuous simulation.
How It Works
Each round cycles through six phases. Red and Blue agents operate simultaneously during the attack phase — scoring is timestamp-aware.
Inject
Orchestrator plants vulnerability via AI reasoning
Preparation
Both agents read memory and plan their strategy
2 min | Memory recall from prior rounds
Attacks target across vulnerability categories
80 tool calls | 10 min
Monitors, detects, and patches in real-time
50 tool calls | 10 min
Defend
Blue team applies final patches and hardening
Scoring
Deterministic rubric evaluates every action
Timestamp-aware | Patch timing determines point value
Reset
Commit state, write memory, restart environment
Key Capabilities
Simultaneous Red vs. Blue
Red team attacks and blue team defends at the same time — not sequentially, not scripted. Both AI agents reason, adapt, and counter each other in real time within the same 10-minute window.
Agents That Learn Between Rounds
Each agent loads memory from prior rounds before planning its next move. A research agent compresses all outcomes into strategic briefings — so attackers and defenders get smarter every cycle.
Objective, Timestamped Scoring
Every exploit and every patch is timestamped to the second. A deterministic rubric scores who acted first — eliminating subjective assessments and producing auditable, comparable results across sessions.
Real Offensive Tooling, Sandboxed
Agents wield actual penetration testing tools — nmap, sqlmap, nikto, hydra — against a live target inside a 7-layer isolated environment. Real exploitation, zero production risk.
24/7 Autonomous Security
Two blue-team agents protect your server — one defends actively during simulation rounds, the other monitors continuously around the clock. Your target is never left unguarded.
Zero-Downtime Resilience
The orchestrator checkpoints state after every phase transition. If a simulation crashes mid-round, it automatically recovers and resumes — no lost data, no manual restarts, no wasted compute.
Why SENTRYFORGE
Leading security platforms focus on offense. SENTRYFORGE is the only platform that runs autonomous red and blue teams simultaneously — with memory, scoring, and intelligence synthesis built in.
| Platform | What it is | What it misses |
|---|---|---|
| AttackIQ | Breach and attack simulation platform that validates security controls using scripted MITRE ATT&CK scenarios | Simulates attacks without real exploitation, no autonomous blue-team agent, no round-to-round learning |
| Pentera | Automated security validation that safely exploits real weaknesses across an organization's attack surface | Offensive-only with no automated defensive agent, no concurrent red+blue orchestration, no evolving memory |
| NodeZero | Autonomous pentesting platform that discovers, chains, and exploits attack paths across live infrastructure | Tests live infrastructure without isolation, no automated blue-team agent, no deterministic scoring rubric |
| SENTRYFORGE | Autonomous concurrent AI red + blue + research agents, isolated sandbox target, deterministic timestamp-aware scoring, adaptive memory across rounds | — |
Roadmap
Stage 0 — MVP
CompleteSingle-tenant, single-target (DVWA), single AI provider (Claude), single VPS, manual deployment, one operator. Hardcoded IPs, flat file dashboard, no user accounts. The entire system runs one simulation at a time.
Stage 1 — Custom Targets
In ProgressTarget abstraction with no DVWA-only dependency. Full support for custom target installation with inject/native/hybrid vulnerability modes, per-target scoring adaptation and agent prompt parameterization. Ships with DVWA, Juice Shop, and WebGoat by default.
Stage 2a — Multi-Session
Upcoming3–4 concurrent simulations on a single host via dynamic subnet allocation and a lightweight Go session manager. First paying customers onboarded before committing to full Kubernetes migration.
Stage 2b — Full Multi-Tenancy
UpcomingKubernetes namespace isolation per simulation, Go control unit with REST API and WebSocket streaming, OAuth2/SSO, usage-based billing, PostgreSQL + S3 storage, immutable audit logs, and SOC 2 compliance.
Stage 3 — Custom AI
PlannedFine-tuned open-weight models trained on simulation data. Provider-agnostic abstraction layer, phase-based model routing, hybrid inference with API fallback. Requires thousands of scored sessions as training data.