We help teams ship AI agents that act on behalf of users without becoming the easiest way into the company. Architecture, identity, MCP hardening, evaluation.
A document it read last week can still be giving it instructions today. We trace every path that writes to memory and gate each one as a privileged action with provenance.
Tool descriptions, tool results, and sampling messages share one context with no privilege separation. A payload split across two of them looks harmless to every scanner and complete to the model. We separate the channels and check the assembled context.
One image in a support ticket can rewrite the configuration file your agent trusts on every future turn. We put config and memory writes above the approval line regardless of how benign they look.
The monitor judges from a transcript, and the agent writes most of the transcript. We build checks from system-observed state and data provenance, so the agent cannot argue its way past them.
A column comment becomes an instruction on every path that shares the same context builder. We classify every string entering a prompt by who controls it.
We read your code and your infrastructure before we write a recommendation. Findings come with the mechanism, not just the CVSS score, so your engineers understand why a control matters and can extend it without us. We write designs your team can implement, and when you want us to implement them, we do that too. Every engagement ends with something you own: a threat model, a design document, a test suite, or working code.
20+
years of security engineering across Amazon, Microsoft, Smartsheet, and telecom
1,000+
engineers trained and mentored on secure-by-design practice
Procurement
security programs that cleared enterprise procurement and opened upmarket sales
Pre-launch
penetration tests delivered on deadline for public technology companies
From our research
18 September 2026
Guardrail models judge from the transcript, and the agent authors most of it. Why self-report is a soft gate, and how to give the monitor a view the agent cannot write to.
Read the analysis →17 September 2026
A payload split across an MCP tool description, a tool result, and a sampling message defeats every single-channel check. What privilege separation between channels looks like.
Read the analysis →15 September 2026
An injection an agent judges worth remembering becomes a standing instruction in every later session. Why it persists, and the memory-write control that stops it.
Read the analysis →“Fantastic service. Foretheta helped us in our data science project. They did incredible work in making our application run faster and more secure with fewer resources.”
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