Zynap

AI governance is the accountability layer around the AI systems an organization runs. It decides who owns each one, what it's allowed to do, and what the organization needs to be able to show about it. That includes systems a team might not even describe

AI agent security is the work of deciding what an agent can reach, what it can do there, and which of its actions wait for a person. That's a different question from whether the model behind it performs well, and it's the question that decides what a mist

Application security automation covers the work that happens after a scanner produces a finding. That includes matching the finding against what your other tools reported, establishing whether the affected code is reachable, and checking whether anyone is

Your security depends on companies you don't run. Think of your SaaS platforms, your managed IT provider, your payment processor. Each one holds access, data, or both, and each one can be the way an attacker reaches you. Third-Party Risk Management, or TP

When you show cyber risk to a board or a client, you've got two options. You can give them a rating, high, medium, or low, or a red-amber-green heatmap of your security posture. That's quick to read, but a color is hard to budget against or compare from o