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.
VC funding for agentic AI security startups hit new highs in 2026, with identity governance, autonomous pentesting, and SOC automation drawing the biggest rounds.
A container security assessment reviews your images, registries, orchestration, and runtime against known weaknesses so you can fix them before an attacker finds them.
The June 2025 MCP spec made every server an OAuth 2.1 resource server, mandated RFC 8707 resource indicators, and added elicitation. Here is what changes for blue teams.
Claude and GPT both write vulnerable code by default in coding harnesses. Comparing model behavior, then Safeguard's approach versus Endor Labs' reachability-first SCA.
AI based cybersecurity tools range from genuinely useful triage assistants to thin wrappers around a generic model, and the difference is usually visible in how the tool handles context, not in its marketing.
The Model Context Protocol connects AI models to tools and data through a client-server design. Understanding that architecture is the first step to securing it.
Container security on AWS spans the image, the registry, the runtime, and IAM. Get those four layers right and you close the gaps that cause almost every incident.
An AI security app uses machine learning to detect, prioritize, or remediate security issues. Here is what the category actually delivers and how to judge one.
An AI cybersecurity company uses machine learning to detect, prioritize, and remediate threats faster than rules alone. Here is how to evaluate one honestly.
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