Cross-system agent audit

Every agent action,
one evidence trail.

Velorantia unifies multi-source logs across systems, agents and tools—then reconstructs behavior, identifies anomalies and turns fragmented events into trustworthy, verifiable evidence.

Evidence anchoringBuilt for BNB Smart Chain
90%+behavior coverage
90%+trace accuracy
6+risk classes
50%+audit efficiency
Velorantia consoleCross-agent audit session
VLR-0821LIVE
Behavior trailRefund investigation
4 agents · 3 systems
0109:42:07
Task receivedUser → Main agent
Intent captured
0209:42:08
Research delegatedMain agent → Research agent
A2A message
0309:42:12
Tool invokedResearch agent → MCP gateway
customer.lookup
0409:42:13
Privilege boundary crossedMCP gateway → Customer database
write access requested
Cross-system sequence correlatedIdentity, task, time and resource links resolved automatically.

Audit coverage

One task becomes one
complete evidence chain.

From a user instruction to its real system impact, Velorantia treats every agent task as the core audit unit and preserves the context required to replay, explain and verify what happened.

01Instruction02Planning03Model04Knowledge05Memory06Tools07Access08Outcome
01

Instructions & tasks

Capture user intent, task decomposition, planning changes and delegated steps.

Input · Plan · Task · Step
02

Model interactions

Preserve prompts, responses, model context and reasoning-related execution records.

Prompt · Response · Context
03

Tool invocation

Audit MCP, A2A, API, browser and desktop actions with parameters and outcomes.

Tool · Call · Result
04

Identity & access

Link agents, users, credentials, permissions and cross-domain resource access.

Actor · Role · Permission
05

Data & memory

Trace retrieval, memory reads and writes, sensitive data access and data movement.

Data · Memory · Resource
06

Anomalous events

Record policy violations, unsafe execution, intervention and final system impact.

Risk · Action · Impact

Coverage is designed to support investigation across current OWASP agentic risk categories, including goal hijack, tool misuse, identity abuse, memory poisoning and multi-agent failures.

Capability architecture

Built for heterogeneous
agent environments.

Instrumentation, proxies, probes and connectors bring distributed records into a single pipeline—from trusted retention and correlation to anomaly audit and explainable incident tracing.

Data sources
01Task & modelInputs, plans, model I/O
02Knowledge & memoryRAG, retrieval, memory state
03Tools & collaborationMCP, A2A, APIs, agents
04Systems & accessIAM, host, container, browser
Collection
01Agent instrumentationSDK · Hook · OpenTelemetry
02Protocol proxyModel · MCP/A2A · API gateway
03Environment probesHost · Container · Browser · Desktop
04External connectorsIAM · Database · Knowledge · Cloud logs
BEHAVIOR LINK ANALYSIS ENGINE

Turn raw events into an explainable task-level narrative.

TraceSessionTaskStepCallResource
01

Standardize

Normalize formats, align time, filter sensitive fields and verify integrity.

02

Retain

Create trusted, indexed evidence with signatures and retention controls.

03

Correlate

Link identity, task, time, calls and semantics across distributed events.

04

Audit & trace

Compare intent, plan and action to locate anomalies and explain root cause.

Audit outputs
Task timelineRisk evidence detailIncident trace graphTrusted audit reportIntegration API

Audit applications

From operational visibility
to trusted accountability.

The platform supports daily oversight, intelligent risk analysis and post-incident evidence—without depending on a single agent framework or log source.

01

Operational trail & process audit

Make each agent task visible, reviewable and attributable from input to outcome.

  • Task timeline reconstruction
  • Tool and privilege audit
  • Cross-agent collaboration audit
90%+critical behavior completeness target
02

Intelligent anomaly audit

Compare original intent, agent plans and real system behavior to reveal unsafe drift.

  • Intent deviation analysis
  • Runtime risk identification
  • Alerting and policy intervention
6+core risk classes covered
03

Security incident traceability

Locate the trigger, propagation path, affected identities and final system impact.

  • Abnormal path reconstruction
  • Impact-scope analysis
  • Verifiable evidence output
90%+abnormal incident trace accuracy target
Expected operational impact50%+ projected improvement in audit analysis efficiency

Move from manual, cross-system log searches to automated task-level evidence correlation.

Trusted evidence layer

Private by design.
Verifiable by proof.

Enterprise logs remain in controlled storage. Velorantia signs critical records, builds a Merkle evidence package and anchors only the proof root—preserving privacy while making tampering independently detectable.

01RetainEncrypted private logs
02SignIntegrity and identity checks
03PackageMerkle evidence root
04AnchorBNB Smart Chain target
Read the BNB Smart Chain documentation ↗
Evidence proofVERIFIED
100%integrity match
Evidence ID
VLR-2026-0814-021
Scope
4 agents · 3 systems
Events
1,284 linked records
Merkle root
0x8F2A...91C7
Network target
BNB Smart Chain
Designed for BNB Smart Chain anchoring

Capability build plan

Connect first.
Scale with evidence.

The roadmap moves from broad telemetry coverage to automated correlation, intelligent audit and verifiable evidence at enterprise scale.

Phase 01

Connect

Instrument agents and connect model, protocol, environment and enterprise logs.

Build
Phase 02

Correlate

Unify Trace, Session, Task, Step, Call and Resource identifiers into behavior graphs.

Build
Phase 03

Detect

Combine policy rules, behavior baselines and semantic analysis for intelligent audit.

Build
Phase 04

Prove & scale

Deliver trusted reports, APIs, BSC anchoring and an open contribution network.

Scale

Velorantia Security Network

Build the audit ecosystem with us.

Researchers and developers can contribute vulnerabilities, rules, datasets, connectors and SDKs—creating a verifiable contribution record for future community rewards.

Become a contributor

Build with evidence

Make agent behavior
visible, explainable and provable.

Bring your agent fleet, frameworks and business systems. We'll show you the complete behavior evidence chain.

Request a demo