4 stories
The regulators are done with “Trust as policy”. That chain used to be an internal maturity problem, something a security program could work on over time: A developer trusts AI-generated code because it compiles. A reviewer trusts an AI-generated summary because it reads plausibly.
Black Hat USA 2026 didn’t introduce the AI security problem, but made it clear how fast that problem is becoming operational. An independent study initiated and funded by Checkmarx helps explain why.
Learn why a hybrid application security strategy combining deterministic tools and AI delivers better protection, lower costs, and faster remediation for AI-generated code.
Modern applications don’t just run on code anymore. They run on models, agents, embeddings, datasets, and autonomous tools like MCP servers. Developers are pulling pre-trained LLMs from Hugging Face, integrating open-source agent frameworks, and wiring up AI pipelines faster than security teams can…
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