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    SMARE — Behavioral Security & Governance for Enterprise AI Agents

    AI Agents Are Active.
    Are You Secure?

    SMARE continuously discovers enterprise AI, including Shadow AI, establishes accountability and governance, observes agent behavior in near real time, and detects policy violations and behavioral drift with supporting evidence.

    • Visibility
    • Accountability
    • Governance
    • Evidence
    SMARE platform overview
    SMARE — agent-centric inventory, governance and behavioral findings in one console.

    The Security Gap

    Allowed does not mean intended

    Traditional controls establish identity, access and permissions. An AI agent can use valid credentials and approved tools while still acting beyond its intended business purpose.

    Traditional security asks

    • Who can access this system?
    • What data is being accessed?
    • What security event occurred?

    The agentic question

    Is this AI agent still behaving the way it was intended to?

    Existing controls remain essential. The point is narrower: permission alone does not express business purpose.

    Visibility

    Discover what you don't know exists

    SMARE builds continuous visibility into the AI operating across your enterprise from configured and integrated sources — including Shadow AI — and the relationships between each part of it.

    SMARE Shadow AI inventory listing discovered shadow agents, policy violations and models in use
    Shadow AI inventory — every discovered agent, its platform, model and policy violations.
    SMARE observed topology view of a shadow agent showing tools, models and connections
    Observed topology — relationships reconstructed from runtime telemetry, not approved design.
    SMARE shadow agent activity view with run statistics, risk highlights and recent traces
    Activity and risk — run statistics, anomalous behavior and sensitive data exposure.
    • Applications
    • Enterprise agents
    • SaaS agents where supported
    • Shadow AI
    • MCP servers
    • Tools
    • LLMs
    • Relationships between them
    • Ownership gaps
    • Telemetry gaps

    You can't govern, what you can't see!

    Accountability & Governance

    Discovery is the beginning, not the answer

    Once AI is visible, governance turns the inventory into an accountable record.

    SMARE Govern Policies catalog showing configured policy templates for AI models, MCP servers, data handling and more
    Policy catalog — configure, publish and version governance policies from SMARE-supported templates.
    SMARE Manage Shadow Agent view showing application binding, team ownership assignment, and individual owner assignments
    Application binding, Team ownership, Accountability policies for a discovered shadow Agent.
    Accountability
    Who owns this AI asset and who is responsible for decisions?
    Organizational Policies
    What models, MCP servers, tools and other components are approved?
    Approved Design Intent
    How is this agent expected to operate?
    Telemetry Coverage
    Do we have sufficient visibility into the behavior we are governing?

    Design Intent

    Establish how the agent is intended to operate

    Design Intent is the approved expression of why an agent exists, the outcomes it may pursue, the assets and actions it may use, and the constraints it must respect. It is established and approved — not inherited from permissions, and not the same as a behavioral baseline.

    What an approved Design Intent expresses

    Purpose
    Business purpose and expected outcomes
    Connections
    Systems and relationships
    Components
    Models and tools
    Data
    Data it may handle
    Boundaries
    Constraints and prohibited actions
    Conditions
    Operating conditions
    EXPECTED OUTCOME
    Measurable outcomes aligned with goals
    SMARE Agent Current Intent view showing Goals, Role, Constraints and Outcome
    Agent Current Intent captures approved purpose, role, constraints, and outcomes.

    Behavioral Security

    Detect policy violations and behavioral drift

    SMARE observes agent behavior in near real time, evaluates applicable organizational policies, and identifies meaningful departures from approved behavior — then preserves the evidence behind what it finds.

    SMARE drift trends dashboard showing topology, behavioral, and semantic drift counts over the last 24 hours
    Drift trends — topology, behavioral, and semantic drift with source, target, and timeline.
    SMARE drift evidence panel showing unexpected tool calls, tool deltas, and design intent violations
    Evidence panel — deltas, design intent violations, and investigation context for every drift.
    Approved behavior
    • PaymentsAgent → RiskScorerAgent
    • RiskScorerAgent → RiskHub MCP server
    • Model: approved LLM endpoint
    • Data: transaction records
    Observed behavior
    • PaymentsAgent → RiskScorerAgent
    • RiskScorerAgent → RiskHub MCP server
    • Model outside approved policyviolation
    • New tool call outside approved surfacedrift
    • New data path not present in baselinedrift
    Policy violation
    Observed activity conflicts with an organizational policy.
    Behavioral drift
    Observed behavior meaningfully departs from approved Design Intent or the approved behavioral baseline.

    Policy Violation / Intent DriftActivity ContextInvestigation Evidence

    How SMARE Works

    One continuous operating model

    Collect → Correlate → Govern → Detect & Share → Continuous Assurance. Each stage feeds the next, and the loop does not stop.

    Continuous Assurance

    1. Collect

      Telemetry comes from supported AI, cloud, application, identity and security systems.

    2. Correlate

      Build agent-centric context across inventory, topology and execution.

    3. Govern

      Establish accountability, apply organizational policies, and approve Design Intent and behavioral baselines.

    4. Detect & Share

      Surface policy violations, behavioral drift and supporting evidence to supported enterprise workflows.

    The workflow is a loop, not a one-time sequence. New assets, changed topology and evolving behavior continuously update governance and security context.

    Ecosystem Position

    Complements your existing security stack

    SMARE complements the existing security stack by adding agent-centric behavioral context. It does not replace IAM, SIEM, SOAR, cloud security, observability or data security.

    Enterprise context / telemetry

    • AI platforms
    • Cloud services
    • Applications
    • Identity systems
    • Security products

    SMARE

    • Inventory
    • Relationships
    • Ownership
    • Organizational policies
    • Design Intent
    • Behavioral baselines
    • Behavioral analysis
    • Evidence

    Security & governance workflows

    • SIEM
    • SOAR
    • Ticketing
    • Investigation
    • Managed services
    • Governance workflows

    Delivered through supported integrations and APIs.

    Enterprise

    Built for enterprise security teams

    FLEXIBLE DEPLOYMENT
    SaaS or deploy in your environmentUse SMARE as a multi-tenant SaaS platform, or deploy it within your enterprise environment when security, data residency or operational requirements call for greater control.
    OPEN INTEGRATION
    Connect across your enterprise ecosystemSMARE can bring together evidence from supported AI platforms, cloud and SaaS services, identity and security systems, and other agentic security controls — correlating it into a unified agent-centric governance context.
    INDEPENDENT ASSURANCE
    Govern without disrupting agent executionSMARE observes and correlates evidence across your environment without requiring every agent interaction to pass through SMARE.
    EVIDENCE COVERAGE
    Know what SMARE can actually seeSMARE makes telemetry coverage explicit — distinguishing what it supports, what is configured, and what evidence is actually being observed.

    Resources

    Learn about securing and governing enterprise AI

    Product demonstrations, technical perspectives and practical guidance for security teams navigating agentic AI.

    Videos

    Guides & Whitepapers

    Articles & Perspectives

    View all SMARE videosExplore all resources

    FAQ

    Frequently Asked Questions

    Next Step

    Request an Executive Briefing

    A working session for security and AI leadership on discovering enterprise AI, establishing accountability, and governing agent behavior with evidence.

    Start with a Scoped Evaluation

    • One representative environment
    • One meaningful agent or application workflow
    • Accessible telemetry
    • Accountable owners
    • Measurable validation outcomes