AI Coding Assistant Security: 2026 Buyer Comparison
A security-focused buyer comparison of AI coding assistants in 2026: code quality risk, data exfiltration controls, license exposure, and policy enforcement.
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 security-focused buyer comparison of AI coding assistants in 2026: code quality risk, data exfiltration controls, license exposure, and policy enforcement.
New 2026 survey data reveals a widening gap between vulnerability alert volume and remediation capacity — and what security teams say actually helps.
Scanning tells you what's inside a container image; signing proves where it came from. Here's how signature verification closes the gap that CVE scanners like Trivy leave open.
Safeguard's latest PulseMeter survey finds 71% of teams hit a supply chain incident this year, but only 34% feel confident they'd catch one in time.
NPM's open, high-velocity ecosystem makes it a top target for supply chain attacks. Here's how vulnerabilities slip past scanners like Trivy undetected.
New survey data on the state of agentic AI adoption shows enterprises racing to deploy autonomous agents faster than security teams can govern them.
CVSS scores flood teams with thousands of "Critical" findings, but fewer than 5% of CVEs are ever exploited. Here's how reachability and exploit data fix triage.
Safeguard's 2026 AI Trust Report surveyed 1,412 developers and finds 91% use AI coding tools weekly, but only 34% trust the code it produces.
Why CVSS severity alone fails to prioritize vulnerabilities, how Trivy's default scoring falls short, and how EPSS, CISA KEV, and reachability data cut remediation backlogs by 95%+.
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