AI Security
Proof-Of-Concept Payloads From Discovered Paths
A taint path is not an exploit. Here is how a zero-day pipeline turns a reachable flow into a defensible proof-of-concept payload without inventing a vulnerability.
Mar 16, 20267 min read
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Griffin AI vs Windsurf Cascade for Security Review
Windsurf's Cascade agent is among the more capable in-editor agents. For security review specifically, it's a complement to Griffin AI, not a replacement.
Mar 16, 20262 min read
AI Security
Prompt Injection Defences: Griffin AI vs Mythos
Prompt injection is the defining AI security problem of this generation. The defences are structural, not cosmetic — and the architectural choices show.
Mar 16, 20264 min read
AI Security
Benchmark Reproducibility: Griffin AI vs Mythos
A benchmark you can't reproduce is marketing. A benchmark you can rerun on your own infrastructure is evidence. The reproducibility gap is wide.
Mar 16, 20266 min read
AI Security
Ethical Hacking Kya Hai? A Beginner's Guide to Security Testing
Ethical hacking means testing systems with permission to find flaws before criminals do. Here is what it actually involves, the phases, the skills, and where AI fits in.
Mar 16, 20265 min read
AI Security
Vector Database Poisoning Trend Watch
Vector databases are now central infrastructure for retrieval-augmented AI. The 2026 attack trend targets the index itself, not the model — and most defenders are not watching the right layer.
Mar 15, 20268 min read
AI Security
Prompt Injection Defence Stack 2026
No single control stops prompt injection. The current state of the art is a defence-in-depth stack with controls at five distinct layers. Here it is.
Mar 15, 20267 min read
AI Security
MCP Client-Side Security Considerations
The MCP client surface is often overlooked. We examine trust boundaries, schema handling, credential storage, and safe defaults for the agent side of the protocol.
Mar 15, 20267 min read
AI Security
Pricing Predictability: Griffin AI vs Mythos
A 40% cost surprise in year two is not a pricing issue — it is an architecture issue. Griffin AI and Mythos-class tools diverge on predictability in structural ways.
Mar 15, 20264 min read
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