SOC 2 Type II Evidence: Griffin AI vs Mythos
A SOC 2 Type II auditor samples a control population across a reporting period. Griffin AI creates that population as a natural output. Mythos-class pure-LLM tools leave you reconstructing it.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
A SOC 2 Type II auditor samples a control population across a reporting period. Griffin AI creates that population as a natural output. Mythos-class pure-LLM tools leave you reconstructing it.
What the FDA's 2026 premarket cybersecurity guidance actually requires for SBOMs, how reviewers evaluate them, and the patterns that cause 510(k) submissions to stall.
CISA is moving from SBOM guidance to enforcement in 2026. Here's what the mandate requires and how to prepare.
FedRAMP HIGH demands 421 controls with documented, continuous evidence. Griffin AI produces control-mapped records every day. Mythos-class pure-LLM tools cannot fill a 3PAO evidence package.
An engineer's assessment of what the CISA Secure by Design Pledge actually changed inside product teams, what it did not, and where the 2026 expectations are landing.
The EU Cyber Resilience Act wants mandatory vulnerability handling, SBOM delivery, and documented due diligence. Griffin AI produces those artifacts continuously. Mythos-class tools produce conversations about them.
A clear-eyed look at what parts of Executive Order 14028 actually made it into production across federal agencies, vendors, and the SBOM ecosystem by 2026.
SBOM adoption has grown rapidly, but maturity varies wildly. Here's where the industry actually stands heading into 2026.
The NIST SSDF attestation form asks structured questions with structured answers. A chat transcript is not an answer. We explain how Griffin AI produces the evidence auditors expect, and why Mythos-class tools struggle.
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