Forge the code. Trace the threat.
TRACEFORGE Ai is an autonomous, multi-agent pentesting platform that plans, scans, exploits, verifies and reports — in minutes, not days. Built for the regulated enterprise. Runs on your infrastructure.
The CISO is losing the speed war
Attackers move in days. Pentests take weeks. The traditional pentest model is structurally broken.
No standard workflow
Methods differ by tester and vendor; results don't compare across engagements.
Low throughput per tester
A human can only run so many actions per day, per engagement.
Inconsistent quality
Outcomes depend on whichever engineer happens to be assigned.
Capacity-limited & costly
Cannot scale to the cadence NIS2 and DORA now demand.
Public cloud AI = compliance risk
GPT-based tools exfiltrate scope data. Disqualified in regulated environments.
Token-hungry general LLMs
Consumer chatbots waste compute and budget on offensive workflows.
Autonomous pentesting agents. On your infrastructure. On your terms.
TRACEFORGE Ai plans, scans, exploits, verifies and reports — in minutes. It runs on-premises or in your private VPC, with an air-gapped option for regulated environments. Your data never leaves your tenant.
Real-time pentests
Outcomes in minutes, not days.
Agent-driven orchestration
Recon to report, on command.
On-prem / air-gapped
Data sovereignty by design.
Continuous coverage
Change-triggered & scheduled retests.
A real-world exploit, end-to-end, in 25 seconds.
Same target. Same scope. ~25 seconds vs. 3–7 pentester hours.
- 01SCANNmap identifies Redis 7.0.5 on internal host
- 02DETECTCVE-2022-0543 matched — Lua sandbox escape
- 03PREPAREExploit payload generated automatically
- 04EXECUTEPayload delivered via redis-cli
- 05RESULTRoot shell — full system control
Seven stages, fully governed
Every engagement follows the same governed sequence. Every action sandboxed. Every step logged. Kill-switch on every agent.
Built for sovereign environments
Single canonical architecture. Designed for governance from day one.
- OSINT / Recon
- CTI
- SOC
- Compliance
- Threat Modeling
- Shadow IT / AI
- Social Engineering
- CVE / NVD
- MITRE ATT&CK
- Exploit databases
- Customer asset graph
- Threat intel feeds
- Compliance refs (NIS2/DORA)
- Engagement history
Six capabilities that disqualify the cloud-AI alternatives
On-prem / air-gapped
Zero data exfiltration. You keep the keys. Required for regulated environments.
Token-less efficiency
Prompt compression, tool-first design, caching, cost guardrails. No runaway spend.
Domain-specific RAG
Grounded in current exploit intel and your asset graph — not general web knowledge.
Evidence-first reporting
Every finding ships with PoC artifacts — HTTP traces, shell output, screenshots.
Governed agents
Per-agent permissions, scoped egress, kill-switch, immutable audit trail.
Continuous operation
24/7, change-triggered retests. Not an annual snapshot.
Built to pass your auditor's first review
Compliance and governance, mapped to the frameworks you already report against.
Access control & accountability
- RBAC + scope guardrails
- Kill-switch on every agent
- Immutable audit log: every action, every prompt
Evidence packs
- PDF + JSON exports
- Reproducible steps per finding
- Mapped to NIS2 / DORA controls & ATT&CK
Workflow integration
- Auto-create Jira / ServiceNow tickets
- SLA-bound, retest scheduled
- Risk score per finding
The outcomes a CISO actually buys
Risk down. Speed up. Evidence in hand. Cost predictable.
How TRACEFORGE Ai compares
Every comparator runs in a vendor cloud. None of them clear NIS2 or DORA sovereignty review without an asterisk. TRACEFORGE Ai is the only agentic platform built for regulated enterprises from day one.
Why now
Three forces are making continuous AI-driven pentesting non-optional.
Board-level obligation
NIS2 (Oct 2024) and DORA (Jan 2025) make periodic, evidence-backed security testing a legal duty across the EU. Comparable pressure under SEC cyber-disclosure rules in the US.
Attack tempo is rising
ENISA reports disruptive attacks against EU targets doubled Q4'23 → Q1'24. Microsoft observed +25% Russian cyber-activity against NATO states. The threat curve is steepening.
Offense is already agentic
Google Project Zero, academic papers, and active threat actors are deploying AI agents for offensive operations. The question is whether your blue team — or someone else's red team — gets there first.
The 60–90 day pilot
A bounded, evidence-first proof of value. Commercial terms locked at the start. No cloud egress. No data leaves your tenant.
Scope
- Target environment agreed up front (1–3 systems or one business unit)
- Allow-lists and exclusions documented
- Success criteria signed off in week one
What we deliver
- Fully on-prem deployment in your tenant
- Agent fleet configured to your stack
- Weekly engagement reports during pilot
- End-of-pilot executive summary with NIS2 / DORA mapping
What success looks like
- Time-to-evidence measured against your baseline
- Vulnerabilities surfaced and verified with PoC
- Audit-pack quality reviewed by your team
- Go / no-go decision in week 12
Forty-five minutes. Your environment. A real finding.
Our agents. Your scope. End-of-session: at least one verified vulnerability with reproducible PoC.