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    SMARE — Behavioral Security for Enterprise AI Agents

    AI Agents Are Active.
    Are You Secure?

    SMARE secures enterprise AI agents by understanding their intended behavior, detecting behavioral drifts and policy violations, and investigating emerging risks with correlated evidence.

    01

    Discover & Contextualize

    Visibility, attribution & accountability

    02

    Establish Trust Boundaries

    Policies, Design Intent & baselines

    03

    Detect & Investigate

    Behavioral drift & AI risk investigations

    SMARE platform overview
    SMARE — visibility, trust boundaries and behavioral risk investigations in one platform.

    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 behavioral security question

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

    Existing security controls remain essential. SMARE adds behavioral security by detecting when an agent's observed actions deviate from its intended purpose—even when those actions are technically permitted.

    Discover & Contextualize

    Discover what you don't know exists

    SMARE continuously discovers and contextualizes enterprise AI—including Shadow AI—across supported data sources. By mapping applications, agents, tools, models, interactions, and ownership, SMARE establishes the context needed to identify behavioral security risks.

    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
    • Shadow AI
    • MCP servers
    • Tools
    • LLMs
    • Evidence Coverage
    • Relationships
    • Ownership gaps

    You can't secure behavior you can't see or contextualize.

    Establish Trust Boundaries

    Define how your AI agents are expected to behave

    Once AI assets are discovered and contextualized, SMARE helps establish their trust boundaries through ownership, organizational policies, approved Design Intent, and behavioral baselines. These provide the reference against which observed behavior can be evaluated.

    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 configured policies list showing published and draft policies across AI models, MCP servers, data, and governance
    Configured policies — define and manage security expectations for enterprise AI assets.
    SMARE Manage Shadow Agent view showing application binding, team ownership assignment, and individual owner assignments
    Application binding, team ownership and accountable owners 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?
    Evidence Coverage
    Do we have sufficient evidence to evaluate behavior against established trust boundaries?

    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 Design Intent establishes the approved behavioral expectations against which runtime activity is evaluated.

    Behavioral Security

    Detect and Investigate AI Behavioral Risks

    SMARE continuously analyzes AI agent behavior against organizational policies, approved Design Intent, and behavioral baselines. It detects meaningful deviations, correlates evidence, and investigates emerging risks to distinguish genuine security threats from benign changes.

    SMARE Policy Violations view listing active violations by severity, policy, violator, and resolution status
    Policy violations — active, high-risk, and newly detected violations across the enterprise.
    SMARE violation resolution panel showing remediation, policy update, exception, and dismiss workflows
    Evidence-driven resolution — remediate, update policy, grant exception, or dismiss with audit history.
    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-driven analysis — understand what changed, how behavior deviated from expectations, and the potential security impact.

    Policy Violation / Behavioral DriftRisk CorrelationAI Risk Investigations

    How SMARE Works

    Continuous Behavioral Security for AI Agents

    SMARE continuously collects and correlates evidence, establishes trusted behavioral expectations, detects deviations, and investigates emerging AI risks.

    Behavioral Security

    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. Establish Trust

      Establish accountability, define organizational policies, and approve Design Intent and behavioral baselines to set trusted behavioral expectations.

    4. Detect & Investigate

      Detect policy violations and behavioral drift, correlate evidence, and investigate emerging AI risks to support informed security decisions.

    Behavioral security is continuous. New agents, changing relationships, evolving behavior, and investigation outcomes continuously inform security context and trusted behavioral expectations.

    THE BEHAVIORAL SECURITY LAYER

    Close the AI Agent Behavioral Security Gap

    Your existing security stack provides essential controls for identity, access, infrastructure, data, and security events. SMARE complements these controls with behavioral security for enterprise AI agents — understanding intended behavior, detecting deviations, and investigating emerging risks using correlated evidence.

    Enterprise context / telemetry

    • AI platforms
    • SaaS AI
    • Applications
    • Identity systems
    • Security products
    • AI Gateways & Proxies

    SMARE

    • Evidence & Context
    • Inventory & Relationships
    • Identity & Ownership
    • Organizational Policies
    • Design Intent
    • Behavioral Baselines
    • Drift & Violation Detection
    • AI Risk Investigations

    Security & Risk Workflows

    • SIEM/SOAR
    • AISOC
    • 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 brings together evidence from supported AI platforms, cloud and SaaS services, identity and security systems, and other security controls — correlating it into unified, agent-centric context for behavioral security investigations.
    INDEPENDENT BEHAVIORAL SECURITY
    Secure agent behavior without disrupting 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

    Explore Behavioral Security for 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 to explore how SMARE establishes intended agent behavior, detects behavioral drift, and investigates emerging AI security risks using correlated evidence.

    Start with a Scoped Evaluation

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