AI Security Infrastructure/Active

Give Every AI Agent a Security Layer.

AgentGuard AI monitors autonomous agents, detects abnormal behavior, controls access to sensitive resources, and gives security teams complete visibility into every agent action.

AGENT ACTIVITY
10:42:18LIVE
──────────────────────────────────────────────────────
SUPPORT_AGENT10:41:02
ACTION: CRM_READ
RISK: LOW
ANALYTICS_AGENT10:41:37
ACTION: DATA_EXPORT
RISK: LOW
RESEARCH_AGENT10:41:54
ACTION: API_ACCESS
RISK: HIGH
awaiting next event
Actions / min allowed flagged blocked
Scanning
p99 9ms
0
Active Agents
+2 since 09:00
0
Actions / 24h
▲ 6.4% vs yesterday
00
Active Alerts
2 high · 1 medium
0.0%
Policy Compliance
Target ≥ 99.5%
01Live Security Console

See what your agents are doing.

One console for every agent action, policy decision and alert — streamed in real time so your security team is never guessing.

console/overview
10:42:18SO
System Security
Protected
Policies
4 / 4 enforced
Threat level
LOW
Last scan
10:42:18
0+2 today
Agents
024h
Actions
02 high
Alerts
012 blocked
Policies Triggered
Live Agent Activity
  • 10:42:18
    Support Agent
    LOW RISK
  • 10:41:54
    Research Agent
    HIGH RISK
  • 10:40:31
    Analytics Agent
    LOW RISK
  • 10:39:12
    Data Agent
    BLOCKED
Risk Signals · 60 min
3 high
-60m-30mnow
Threat level
LOW
score 0.14
Active Alerts
3 open
  • ALR-2041HIGH
    Unapproved external API destination
    Research Agent10:41:54
  • ALR-2040HIGH
    Restricted dataset access attempt
    Data Agent10:39:12
  • ALR-2038MEDIUM
    Privilege escalation pattern detected
    Automation Agent10:35:47
02Agent Monitoring

Every agent. Every action. One security layer.

Online Monitored Restricted

Support Agent

SUPPORT_AGENT · gpt-4.1
ONLINE
Risk
LOW RISK
Actions Today
184
Policy Score98%
Activity · 16hCRM → Customer Record
Recent actions
  • 10:42:18CRM → Customer Record #48213LOW
  • 10:37:03Zendesk → Ticket UpdateLOW
  • 10:29:46Knowledge Base → Article FetchLOW
Tools · Owner
CRMZendeskKnowledge BaseCustomer Operations

Research Agent

RESEARCH_AGENT · claude-sonnet-4
MONITORED
Risk
MEDIUM RISK
Actions Today
241
Policy Score91%
Activity · 16hExternal API Request
Recent actions
  • 10:41:54POST /external-api/exportHIGH
  • 10:31:09Web Fetch → arxiv.orgLOW
  • 10:22:37Vector Store → Similarity QueryLOW
Tools · Owner
Web FetchExternal APIVector StoreStrategy & Insights

Data Analyst

DATA_ANALYST · gpt-4.1
ONLINE
Risk
LOW RISK
Actions Today
312
Policy Score99%
Activity · 16hReport Generated
Recent actions
  • 10:40:31Report DB → Report GeneratedLOW
  • 10:33:20Warehouse → Query sales_q1LOW
  • 10:28:55Finance DB → Export (Escalated)MEDIUM
Tools · Owner
WarehouseReport DBBI ExportFinance Analytics

Automation Agent

AUTOMATION_AGENT · llama-3.3-70b
RESTRICTED
Risk
HIGH RISK
Actions Today
110
Policy Score72%
Activity · 16hPrivilege Change Attempt
Recent actions
  • 10:38:44Email API → Send (Approved Template)MEDIUM
  • 10:35:47IAM → Privilege ChangeBLOCKED
  • 10:19:02Scheduler → Job EnqueuedLOW
Tools · Owner
Email APIIAMSchedulerPlatform Engineering
03Threat Detection

Detect behavior that shouldn't happen.

AgentGuard continuously analyzes agent actions, tool usage, API requests, data access, and behavioral patterns to identify suspicious activity.

000090180270
Scanning · 1,204 signals/min
Current threat level
LOW
Composite 0.14
Baseline updated 14s ago
  • Unusual API Request
    Outbound calls to destinations outside the approved policy set.
    6 / 24h
    10:41:54
  • Privilege Escalation
    Attempts to widen scopes, roles or credentials mid-session.
    2 / 24h
    10:35:47
  • Sensitive Data Access
    Reads or exports touching restricted or classified datasets.
    14 / 24h
    10:39:12
  • Abnormal Tool Usage
    Tool-call patterns that diverge from the agent's learned baseline.
    9 / 24h
    09:12:03
  • Policy Violation
    Any action that contradicts an active enforcement rule.
    22 / 24h
    10:41:54
  • 1,204
    signals / min
  • 38 ms
    detect latency
  • 0.4%
    false positives
04Continuous risk scoring
Risk Engine
Last evaluation 10:42:18
Current Threat Level
LOW
Composite score 0.14 / 1.00
LOW
GUARDED
ELEVATED
HIGH
SEVERE

No active critical threats detected.

Behavior Analysis
baseline drift 0.8%
0%
Policy Compliance
3 rules evaluated / action
0%
Access Control
2 scopes pending review
0%
Anomaly Detection
model v3.2 · 1,204 sig/min
0%
05Policy Control

Set the boundaries before agents cross them.

Policy · POL-01

Restrict Sensitive Data

StatusEnabled
IF
Agent requests sensitive dataset
THEN
Block request
AND
Create security alert
AND
Record audit event
Scope All agentsHIGH14× / 24h · last 10:39:12

Policies are declarative rules evaluated on every agent action — before the request reaches a tool, an API, or a dataset. Decisions are made in-line, in milliseconds, and every outcome is recorded.

  • Enforced at the tool-call boundary
  • Allow · block · escalate · suspend
  • Versioned, testable, auditable
Policy Status3 / 4 enforced
Evaluation p99 6 msDecisions / 24h 2,541
06Enforcement in action
Security Event Detected
ALR-2041 · 10:41:54 · Policy POL-02
High Risk
Agent

Research Agent

Monitored

Attempted restricted API access

POST/external-api/export→ data-relay.unknown-host.io
Reason

Destination is not included in approved API policy.

Policy match

POL-02 · External API Access
× Unknown domains → block

Request Blocked
View Audit Log
Request context
{
  "agent":    "RESEARCH_AGENT",
  "session":  "8F3A-2C",
  "tool":     "http.request",
  "method":   "POST",
  "host":     "data-relay.unknown-host.io",
  "payload":  "[redacted · 42 KB]",
  "contains": ["customer_email", "account_id"],
  "policy":   "POL-02",
  "decision": "BLOCK"
}
Handling timeline
  • 10:41:54.012
    Request intercepted at tool-call boundary
  • 10:41:54.015
    Destination evaluated against POL-02 · External API Access
  • 10:41:54.018
    Destination not in approved list → REQUEST BLOCKED
  • 10:41:54.021
    Alert ALR-2041 created · severity HIGH
  • 10:41:54.024
    Audit event evt_9c41a1 recorded
Event summary
Agent
Research Agent
Session
8F3A-2C
Tool
http.request
Policy
POL-02
Payload
42 KB · redacted
Data classes
PII · account
Latency
6 ms
07Complete auditability

Audit Log

14 of 14 events
Immutable · SHA-256 chained Integrity verified
08How It Works

From connection to control in four stages.

A single data path: every agent action flows through AgentGuard before it reaches a tool, an API, or a dataset.

  1. 01

    Connect

    Connect your AI agents and tools.

    SDK · Proxy · MCP
  2. 02

    Observe

    AgentGuard observes actions and behavior.

    Every tool call · API · dataset
  3. 03

    Analyze

    AI analyzes behavior and identifies risk.

    Baselines · anomalies · scoring
  4. 04

    Control

    Policies automatically allow, block, or escalate actions.

    Allow · Block · Escalate
09Why AgentGuard

Security infrastructure built for autonomous software.

Agents act on their own. AgentGuard makes sure every one of those actions is observed, evaluated, and accountable.

MOD-A

Real-Time Visibility

Understand what every AI agent is doing.

  • Live activity streams
  • Tool & API call tracing
  • Session replay
MOD-B

Behavioral Detection

Identify unusual actions and behavioral anomalies.

  • Per-agent baselines
  • Anomaly scoring
  • Privilege escalation signals
MOD-C

Policy Enforcement

Automatically control what agents can access.

  • Allow / block / escalate
  • Enforced at the tool boundary
  • Sub-10 ms decisions
MOD-D

Complete Auditability

Keep a searchable record of every important action.

  • Immutable event chain
  • Filterable audit log
  • Compliance-ready exports
Control the agentProtect the dataTrust the automation

AI agents are becoming autonomous.

Your security layer should be too.

Monitor every action. Control every boundary. Detect every anomaly.

Security StatusOperational