We’re three founders who started Meshulash at 17 with a clear goal: let enterprises adopt AI safely-without slowing teams down or changing the way people work.

We finished school early. One of our first money-making projects (not our proudest moment) was an automation that wrote school papers. From there we moved to building real AI models, agents, and automations for businesses-advising teams on how to implement AI and seeing, up close, both the power and the risks: accidental data leaks, prompt injections, and models with overly broad access to company systems.
Then came the reality in Israel: a war. One of us was drafted into an elite IDF cyber intelligence unit; the other two, who couldn’t enlist for medical reasons, channeled that drive into what we knew best-securing AI use in organizations. That path led to Meshulash.

Clean/redact sensitive content before it leaves, flag or block risky prompts, and keep employees in their normal flow.

Govern AI/agent access to code, data, and systems (least privilege), fence dangerous actions, and record what was actually executed.

Prompt-level visibility and evidence for GDPR, SOC 2, and Israel’s Privacy Protection Law Amendment 13-without adding friction.

Real-time prompt/response tracking-who used what, when, what was redacted or blocked.

Enforce guardrails as users type; prevent incidents instead of reporting them later.

SaaS, Hybrid, or fully On-Prem-aligned to your security and data-residency policies.


AI should serve people and the organization-securely.

Protection that’s powerful yet invisible to users.

Innovation and security awareness are in our DNA.