We view cybersecurity as essentially the study of failure. You can’t detect, prevent or recover from failure without ultimately understanding at a deep level the systems and the software that you’re running and operating.
Pat Opet, Global CISO, JPMorgan Chase (Infosecurity Magazine, 2025)
For ai & security leaders
Understand your AI
The new problem isn’t shadow IT, its shadow agents in sanctioned IT.
Gain complete visibility into every sanctioned AI agent operating within your enterprise. ChatSee automatically discovers, maps, and monitors your sanctioned AI footprint to ensure compliance, assign ownership, and mitigate operational risk. By instantly identifying active guardrails and policy constraints, we ensure no agent operates outside your security perimeter.
THE PROBLEM
You Can't Govern the Unknown
Rapid agent deployment has outpaced security infrastructure, exposing enterprises to unmanaged autonomous risks.
Discovery & Metadata Blindspots
Discovery blindspots prevent the semantic mapping of sanctioned AI footprints and the metadata enrichment required for centralized behavioral oversight.
Fractured governance-to-business alignment
Governance functions—privacy, legal, corporate policy, security, and compliance—operate in silos and are disconnected from agent developers and operators.
Absence of unified control
There is no unified control plane across custom and platform-embedded agents (such as Copilot or Agentforce), which prevents consistent runtime failure detection and policy enforcement.
THE Solution
The AI Asset Registry
Automated discovery of agents and metadata
Chatsee automatically discovers agents, their roles and capabilities, ownership, access patterns, dependencies, and required policies, enabling operators to define the right taxonomy and guardrails.
Roles, capabilities, and ownership
By observing trace data alone, Chatsee infers each agent’s role, capabilities, owners, and users, and also derives user roles from behavioral signals.
Accessibility and dependencies
Chatsee maps each agent’s knowledge sources, sub-agents, tools, and the full dependency graph that underpins its behavior.
Governance policies from human input
From human interactions across channels, Chatsee learns and codifies policies and preferences so that agents stay aligned with human and organizational intent.
Keeping central teams in the loop
Chatsee keeps central teams tightly connected with agent owners in a structured, scalable way, instead of ad-hoc reviews and one-off exceptions.
From concerns to taxonomy and guardrails
Chatsee helps agent owners capture stakeholder concerns in a structured format and distills them into a clear taxonomyand actionable guardrails.
Structured automation workflows for governing teams
Chatsee provides structured, automated workflows to collect and reconcile input from privacy, legal, compliance, and corporate governance teams at the speed of software.
Integration with governance reporting platforms
The Chatsee platform supports custom reports and MCP servers that integrate directly with existing compliance and governance platforms used by target teams.
Unified Control
Chatsee connects to both custom agents and embedded agents (e.g., Copilot, Agentforce) to close the control loop on runtime and policy failures from central teams.
Taxonomy- and guardrail-based detection and failure clustering
Chatsee leverages an extensive taxonomy of failures across business verticals, developed from large-scale analysis of internet-facing agent deployments.
It applies guardrails derived from central governance requirements, and when failures are unclassified, it uses behavioral clustering to group and surface new failure modes.
Human input in the loop
Chatsee ensures human input is used judiciously: SREs and operators can route failures to the right teams, treat them canonically through clustering, and have Chatsee remember prior decisions so agents align with humans in just a few iterations.
Failure memory
Chatsee maintains a rich “failure memory” of effective remediations that can be applied at runtime or during development.
For each failure, Chatsee can suggest prompt updates, RL failure rules and rewards, high-quality fine-tuning data, and test cases to systematically eliminate recurring issues.