Cybersecurity career intelligence
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Founded by Julian Calvo, Ed.D. · Cybersecurity career intelligence · Est. 2024
Recon, scope clarification, finding writeups, and report generation. Built for cybersecurity professionals conducting authorized penetration tests.
Before using these resources:
scope clarification
I am scoping a cybersecurity penetration test. Generate the 15 clarifying questions I should ask the client before signing the SOW, grouped by: - Target assets and boundaries - Testing windows and blackout periods - Authorization chain of custody - Sensitive data handling - Success criteria and reporting expectations Context: [describe engagement type: external web app / internal network / red team / cloud]
When to use: Run this before your kickoff call. Catches scope creep and authorization gaps that would otherwise turn into billing or legal disputes.
AI-generated lists can miss client-specific details. Always review against your firm's own SOW template.
finding writeup
Draft a penetration test finding in this format: Title: Severity: [Critical / High / Medium / Low / Info] CVSS 3.1 vector string: [AV:/AC:/PR:/UI:/S:/C:/I:/A:] Affected asset type: Description: (2-3 sentences, what the finding is) Proof of exploit: (sanitized, no client-identifying strings) Business impact: (what an attacker could do, in business language) Remediation: (prioritized, with short-term mitigation and long-term fix) References: (CWE, OWASP, vendor docs) Raw finding notes: [paste your sanitized lab notes here]
When to use: Accelerates report writing after a long engagement. The structure forces you to separate evidence from impact from fix.
AI hallucinates CVSS vectors and CWE mappings. Verify every CVSS metric and CWE ID against first.org and mitre.org.
OpenAI's general-purpose conversational AI. Best for drafting, explanation, and structured reasoning. GPT-4o and o1 models handle cybersecurity reasoning better than smaller tiers.
For Penetration Testers: Use Plus tier for longer context windows and file uploads. Custom GPTs let you save repeat prompts.
DecipherU take: Strong default. Weaker at niche cybersecurity tool syntax (specific SIEM DSLs, cloud IAM edge cases). Cross-check technical output.
Visit official site →Anthropic's conversational AI. Claude Opus and Sonnet models are strong at long-form analysis, careful reasoning about risk, and producing structured writeups.
For Penetration Testers: Longer context windows than most alternatives. Projects let you persist role-specific instructions across chats.
DecipherU take: Excellent for policy drafting, incident writeups, and threat modeling. More cautious than ChatGPT, which is a feature in cybersecurity, not a bug.
Visit official site →Purpose-built security-focused AI assistant integrated with Microsoft Sentinel, Defender, Intune, and Entra ID. Natural language over security telemetry.
For Penetration Testers: Best value if your stack is already Microsoft. Stays inside your tenant, so data residency and compliance are straightforward.
DecipherU take: Worth it for SOC teams already on Microsoft Defender and Sentinel. Not worth switching stacks for.
Visit official site →No workflows curated for Penetration Tester yet.
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These custom GPTs are built by DecipherU specifically for cybersecurity career development. They run inside ChatGPT (requires a free or Plus account).
Answers questions about cybersecurity career paths, role requirements, salary ranges, and certification ROI using DecipherU's career intelligence data.
Open in ChatGPT →Simulates cybersecurity job interviews with role-specific technical and behavioral questions. Gives structured feedback on your answers.
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