Agent Observability
Observe Every Agent. Detect Every Anomaly.
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Observe Every Agent. Detect Every Anomaly.
Autonomous agents make decisions, invoke tools, and exchange data across multi-step workflows. As these interactions grow, fragmented logs make it difficult to understand who authorized an action, which controls evaluated it, and what happened next. Security teams need connected evidence to identify unusual behavior, investigate incidents, and maintain accountability across autonomous AI.
PointGuard AI Agent Observability:
Traces agent actions across complete workflows
Explains identity, authorization, and policy decisions
Detects behavioral drift and unusual activity
Preserves signed evidence for audit and investigation
OpenTelemetry-compatible traces connect agent behavior, tool usage, MCP communications, and runtime security events. Cryptographically attributed, tamper-evident records preserve identity and decision context, while behavioral analytics reveal anomalous patterns. Shared dashboards bring operational health and security risk together, helping teams reconstruct agent activity and assess control effectiveness.
Gain continuous visibility across individual agents and multi-agent workflows, with the evidence needed to investigate risk and support governance. Integration with Agent Mission Control, MCP Security Gateway, and Guardian Agent connects observations with broader oversight and response.
telemetry
Capture real-time visibility into agent-to-agent communication, agent-to-tool activity, MCP traffic, prompts, responses, and execution paths. OpenTelemetry-compatible traces can be generated at the MCP Gateway or through Agent Mission Control, providing broad coverage without requiring an SDK inside every agent.
Monitor agent-to-agent communication
Trace agent-to-tool and MCP activity
Generate OpenTelemetry-compatible traces
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visibility
Observe identity claims, delegated authority, authorization decisions, policy enforcement, guardrail events, tool invocations, containment actions, and outcomes across complete agent workflows. Security context explains not only what happened, but which controls evaluated the action and why it was permitted or blocked.
Monitor policy and authorization decisions
Track identity, tools, actions, and outcomes
Visualize complete execution flows
audit
Cryptographically attest agent actions and record them in tamper-evident logs with full identity attribution. Signed records connect identity claims, requested actions, policy decisions, tool activity, and final outcomes to create a trustworthy history for compliance and accountability.
Maintain tamper-evident signed logs
Attribute actions to verified identities
Record decisions, actions, and outcomes
analytics
Build activity profiles for agents, tools, and workflows to identify unusual patterns and support security investigations. Behavioral analytics surface goal drift, anomalous tool usage, repeated no-progress actions, unexpected execution paths, and out-of-scope activity for review or response by Guardian Agent.
Establish normal agent behavior
Identify drift and anomalous patterns
Provide context to Guardian Agent controls
investigation
Reconstruct complete agent workflows using historical traces, signed action records, identity context, policy decisions, and MCP activity. Security teams can investigate incidents, validate enforcement, support post-incident review, and produce evidence for compliance without correlating fragmented logs from multiple systems.
Reconstruct end-to-end agent activity
Accelerate SOC investigations
Support compliance and post-incident review
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intelligence
Unify operational and security metrics in dashboards that show agent activity, tool usage, policy violations, anomaly trends, guardrail events, containment actions, and workflow outcomes. Teams can assess the health of individual agents and the broader autonomous AI ecosystem from one platform.
Monitor agent and workflow health
Measure policy and control effectiveness
Track operational and security trends
Most observability platforms stop at infrastructure telemetry. PointGuard AI provides security-aware observability purpose-built for autonomous AI, combining OpenTelemetry tracing, agent-to-agent and agent-to-tool visibility, cryptographic audit, behavioral analytics, MCP context, and integrated dashboards in a single platform.
Together with Agent Discovery & Registry, Agent Identity & Access, Agent Guardrails, and Guardian Agent, it enables organizations to discover autonomous AI, establish trust, observe every interaction, protect communications, and control unsafe behavior through a unified platform.
Clients Words
AppSOC brings it all together in one intuitive dashboard – helping me prioritize vulnerabilities and ensure compliance.
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