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.
Small team, no big budget? This 90 day attack surface plan builds an asset inventory, assigns owners and closes the riskiest exposures first, step by step.
A plain briefing on attack surface management for a CFO or board: what it finds, what it costs in drivers, and the numbers that show whether it is working.
Asset count, scan frequency, coverage types and remediation effort drive attack surface management cost. Budget from your own counts, not a price list.
A constructed walk through one attack surface alert, from discovery to owner, fix and closure, showing the decisions and records a good process produces.
Year one attack surface management mistakes: counting assets not owners, ignoring internal sprawl, having no triage rule. Here is how to avoid each.
A four stage attack surface management maturity model, from a manual list to continuous, owner linked discovery, with signs you have reached each stage.
AI detection and response is young and loosely defined. These seven first year mistakes are avoidable if you scope tightly and test with your own agents.
Sound AIDR advice starts with an inventory of AI systems and tight agent permissions, then adds monitoring. Treat vendor claims as things to test.
An LLM firewall filters prompts and outputs inline to prevent abuse. AIDR watches AI activity to detect and respond. Learn the overlap and when each fits.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.
