Research, field notes and product news from the team building the end-to-end AI trust platform.
AI now generates 30-50% of enterprise code, yet traditional AppSec still assumes human authors and linear workflows. Agentic remediation flips security from…
Anthropic's GTG-1002 report shows how AI agents can be socially engineered through clever prompts rather than broken security. Cranium shares strategies to…
Agentic AI doesn't just generate text; it takes actions, makes decisions, and touches real systems, raising the stakes for security teams. These…
Agentic AI acts like an employee—making decisions, writing code, and taking actions—but without identity, oversight, or IAM policies. Traditional security built for…
With the Senate rejecting a federal AI moratorium, states like California and Texas are pursuing divergent rules, creating major compliance challenges for…
Unlike a traditional firewall that polices IP packets, an LLM firewall inspects natural language—the prompts users send and the responses models return.…
As the UN calls for global AI governance, Cranium addresses the risks raised through robust AI security, policy enforcement, and ethical development…
LLM hijacking campaigns show how attackers exploit large language models to leak data, manipulate outputs, and gain unauthorized access. Monitoring and governing…
AI agents now make decisions and take actions with growing autonomy, introducing real but often invisible risk. Without AI-native oversight, enterprises are…
Agentic AI can perceive, reason, and act autonomously, but that autonomy fails when an agent’s actions diverge from human intent. Closing this…
See how Cranium helps your organization accelerate the secure adoption of AI — from your first model to your entire agentic supply chain.
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