ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
593 articles
The Real Security Concerns About AI in 2026
The most grounded concerns about AI are not sci-fi scenarios; they are prompt injection, data leakage, supply chain risk in models, and opaque decisions. Here is how each one actually shows up.
Prompt Injection Defense Architectures in 2026
Prompt injection remains the LLM01 entry on the OWASP LLM Top 10 for a reason. A pragmatic look at the defense architectures that hold up in production this year.
Benchmark Contamination Concerns In Security Evals
When the test set is in the training set, the benchmark is broken. Security eval contamination is widespread and the mitigations are specific.
Griffin AI vs Claude Agent Skills for Security
Anthropic's Claude Agent Skills let you package tools and context for Claude. Here's how that primitive compares to Griffin's security-specific workflow scaffolding.
Griffin AI vs Mythos: The Security Platform Comparison
A senior engineer's side-by-side look at Griffin AI and Mythos — why engine-grounded reasoning beats pure-LLM security intuition when the audit clock starts.
Best AI Tool for Resume: What to Check Before You Trust One
The best AI tool for resume building is the one that improves your document without quietly harvesting the personal data on it. Here is how to judge these tools on privacy and security, not just polish.
Autonomous Security Remediation: The Promise and Peril of Self-Healing Software
Automated vulnerability patching sounds ideal until you consider what happens when the automation gets it wrong. Here's a realistic look at autonomous remediation.
Griffin AI vs GPT-5: Context Grounding
A million-token context window is a tool, not a solution. Context grounding for security requires architecture, not just capacity.
Evaluating Security-Specific Reasoning Models
Reasoning models have arrived in security tooling. Evaluating them requires different methodology from evaluating classification or generation models. Here is what good evaluation looks like.
Dark AI: How Attackers Weaponize Generative Models
Dark AI refers to generative models turned to malicious ends, from phishing at scale to malware assistance. Here is what defenders need to understand and do.
RSA Conference 2026: Supply Chain Themes
RSA Conference 2026 centered on AI governance, software supply chain regulation, and vendor consolidation. Here is the analyst view of what mattered.
Tool-Call Privilege Escalation In Practice
When an agent can call tools, the permission boundary is no longer between the user and the system. It is between the model's current beliefs and everything the model can reach. That is a much harder boundary to defend.
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