CISO
Know which agents hold access, what that access opens, and whether your controls hold, before an incident forces the question.
Independent AI agent governance, risk and assurance
Read-only, cross-vendor proof for CISOs, CROs, CIOs, compliance and internal audit, and the boards they report to. BioSiCureAi is designed to show what your AI agents can reach, whether your controls hold, and whether each agent stayed within what you approved.
The problem
AI agents now read, decide and act inside finance, HR, sales, IT operations, research and engineering. To do that work, each one holds keys: service accounts, API tokens, borrowed human logins, and connectors to SaaS tools and cloud.
Policies and inventories say what should happen. Few organizations can show what actually happens: which agents they run, what each one can reach, and whether it stayed within what was approved. Each platform governs its own agents, and the answer is spread across many teams and tools.
Much of this is the oldest control we have, least privilege, with a new actor holding the key. Boards, regulators and auditors are starting to ask for the evidence.
What we answer
Every agent, including the ones nobody approved, with an owner and the systems and data its access opens.
Controls tested, not assumed, so the answer rests on evidence rather than a policy document.
Each agent checked against what was approved, and checked again when something material changes.
A simple way to picture what governance has to cover is your Agent(ic) Perimeter: everything an agent can reach across your tools, systems and data.
How we work
Most organizations start with a fixed-scope Agent Governance Readiness Assessment. From there we support your agents through their lifecycle: before you buy, before go-live, while they run, and when the board or an auditor asks.
Our own read-only tooling is in development. It’s designed to give security, risk and IT leaders one shared view of agent risk, and to keep the evidence current between reviews.
Who it’s for
Know which agents hold access, what that access opens, and whether your controls hold, before an incident forces the question.
Put AI agents on the risk register with owners, and show whether their risk sits inside the appetite the board set.
An inventory you can stand behind, and a clearer path to approve the next agent with confidence.
Independent evidence that maps to NIST AI RMF and ISO/IEC 42001, ready before the question arrives.
Plain answers about AI agents: what we run, who owns it, what could go wrong, and how we know.
Regulated enterprises such as financial services and healthcare, higher education and research, FFRDCs and federal contractors.
Independence
If AI agents are on your risk register, or your board has started to ask about them, we’d like to compare notes.