privacy compliance
Twelve lines of Python are enough to add a policy check between an AI agent and the tools it calls. That is the practical starting point for...
Phishing campaigns fail at one specific moment: when the infrastructure is live but the first malicious email has not yet sent. Cyren Threat Intelligence...
The gap between an AI agent deciding to call a tool and that call actually executing is where policy enforcement belongs. Most deployments leave that gap...
When an MCP-compatible AI agent decides to call a tool, that call executes before most security controls even see it. The gap is not theoretical. A...
Publishing a security component as open source under the MIT licence does something a closed binary cannot: every security engineer, AI platform team, and...
Most threat intelligence arrives after an attack is already underway. A campaign lands in inboxes, a URL fires, an analyst pivots on an IOC, and the...
Tool calls in agentic AI systems run with whatever permissions the hosting process holds. Without a gate between the agent and the tool, there is no...
Identity-based attacks succeed because defenders see the signal too late. A credential leaks, sits on a dark-web forum for days or weeks, and the account...
An AI agent that can call tools, query databases, and execute code operates with the same trust level as the credentials it runs under. If nothing checks...