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Founded by Julian Calvo, Ed.D. · Cybersecurity career intelligence · Est. 2024
Misconfiguration detection, IAM policy review, cloud security posture, and architecture review. Built for cybersecurity professionals securing AWS, Azure, and GCP environments.
Before using these resources:
iam review
Review this [AWS IAM / Azure RBAC / GCP IAM] policy. Tell me: 1. What the policy actually grants (resolve wildcards and inherited permissions) 2. Least privilege violations (where it grants more than the stated intent) 3. Privilege escalation paths from this role 4. A tightened version of the policy that preserves the stated intent 5. What I would need to test to confirm the tightened version still works Stated intent: [what the policy is supposed to do] Policy JSON: [paste policy]
When to use: Great first pass when tightening over-permissive roles. Confirm changes in a non-production environment before rolling out.
LLMs can miss service-specific inherited permissions. Validate with AWS IAM Access Analyzer, Azure PIM, or GCP Policy Analyzer.
misconfig triage
I have the following CSPM finding. Tell me: 1. What the finding actually means in business terms 2. Real-world exploitation scenarios 3. Whether this is likely exploitable in our environment based on the context I provided 4. Remediation: short-term compensating control vs. long-term fix 5. Detection: what I should alert on if we cannot fix it today Finding: [paste finding title and description] Environment context: [public/private, data sensitivity, connected services]
When to use: Helps prioritize a flood of CSPM findings. Do not auto-remediate based on AI output.
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 Cloud Securitys: 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 Cloud Securitys: 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 Cloud Securitys: 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 Cloud Security yet.
The DecipherU team vets every resource before adding it. Subscribe below to hear when new workflows ship.
No skills curated for Cloud Security yet.
The DecipherU team vets every resource before adding it. Subscribe below to hear when new skills ship.
No custom GPTs curated for Cloud Security yet.
The DecipherU team vets every resource before adding it. Subscribe below to hear when new custom GPTs ship.
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