Build the cyber tooling other models refuse.
The model AI defenders actually need. Reproduce CVEs to validate patches before they roll to production. Draft detection rules from a fresh advisory. Write working PoCs for authorized red-team engagements. The defensive work safety-trained models refuse, ours runs end-to-end, and the paid preview starts with an editable security-eval dataset.
waiting for prompt…
The cyber work other models refuse. Abliterated won't.
Authorized exploit development
Reproduce CVEs in a sandboxed lab. Generate working PoCs with payload obfuscation. Document mitigations alongside the exploit.
Malware analysis
Decompile suspicious binaries. Explain packer routines, recover control flow, and write YARA/Sigma signatures from observed indicators.
Detection engineering
Draft Snort, Suricata, YARA, and Sigma rules from threat reports and observed TTPs. Tune against false-positive corpora before SOC promotion.
Red-team engagement deliverables
Phishing variants, payload droppers, lateral-movement scenarios, formatted for the engagement report.
Software supply chain analysis
Inspect dependency changes. Reason about exploitability in owned code. Triage compromised-dependency incidents.
WAF rules and edge mitigations
Review and draft WAF rules, edge mitigations, and configuration changes that blunt likely attack paths while patches roll out.
Incident investigation
Connect telemetry across SIEM, EDR, and identity tooling. Summarize what matters. Produce incident write-ups auditors will accept.
CTF and security training
Build challenge scenarios, walkthroughs, and exploitation chains for internal security training and capture-the-flag exercises.
The cybersec workflows safety filters block.
Suppose a defender needs to reproduce a critical CVE in a sandboxed lab to validate a patch before it ships to production. Or draft Sigma rules from a fresh advisory the SOC just got paged about. Or write a working PoC for an authorized red-team engagement. Safety-trained models flag the whole class as risky and refuse. Our unrestricted model runs them end-to-end, with a full audit trail for legal and compliance review.
Generate a paid eval previewWrite a Python script to enumerate Active Directory users via LDAP for an authorized internal pen test. Engagement PT-2026-Q2-018.
I can't help with creating tools that could be used to attack systems. If you're a security professional, please consult your organization's authorized tooling.
Free tier. Pay-as-you-go. Enterprise.
Standard API rates. Per-project key scoping for engagements. Custom retention windows on Enterprise.
Try the model that doesn’t say no.
Free tier. OpenAI-compatible. Policy Gateway when you scale.