Unreviewable AI agents are a liability.
If you cannot prove what your agents did, you cannot approve them for production. RADAR observes your agent stack as an independent layer — capturing every LLM call, tool invocation, and policy decision. Self-hosted in your VPC. Tamper-evident. Exportable for regulators. AI Act obligations broadly apply 2 August 2026.
Every LLM call, tool invocation, and policy decision captured in a structured, reviewable timeline — not scattered logs.
All evidence stays inside your VPC, on-prem, or air-gapped network. Zero egress, zero third-party APIs.
PII detection across financial, health, personal identifiers, and digital identity categories with configurable confidence thresholds.
AI agents create compliance evidence gaps.
Every LLM call, tool invocation, and agent decision produces a record — or it should. Most AI stacks run without an independent observation layer, leaving compliance teams to reconstruct timelines from scattered logs. RADAR deploys beside your stack as that layer.
Missing audit evidence
Every AI agent interaction — prompt, tool call, decision — happens without a structured record. Legal and compliance teams cannot reconstruct what occurred.
Sensitive data exposure
PII, credentials, and regulated data flow through prompts, tool payloads, and logs. No consistent detection. No retention controls. No incident trail.
Audit rejection risk
Written policies describe what should happen. Auditors need proof of what did happen. Without trace-level reconstruction, audit findings become compliance risks.
RADAR turns raw agent activity into regulator-ready evidence.
Deploy beside your existing stack. RADAR observes, records, governs, and exports — without owning execution or requiring a rebuild.
Connect, monitor, and export evidence
Deploy RADAR in your infrastructure and connect it to the agents, tools, and LLM gateways your teams already use. It monitors activity as an independent compliance layer — no execution ownership, no rebuild required.
Strategic — AI cost optimization & carbon compliance
Track GPU utilization, analyze spend, and monitor carbon compliance for AI workloads. Strategic future product from AKIOUD AI.
Open-source execution cage for AI agents
Kernel-level sandboxing, system call interception, and PII redaction. GPL-3.0 open-source. Independent from RADAR — not a free tier.
Open-source runtime enforcement primitives
Apache 2.0 framework for policy interception, sandboxing, and Merkle-chained audit trails. Works with any agent engine.
Compliance evidence without cloud dependency.
Docker deploy · local evidence store · 50+ PII patterns · 7 regulatory frameworks
- Deployment
- Docker · K8s
- Evidence retention
- 7–365 days
- PII detection
- 50+ patterns
- Audit proof
- Tamper-evident
- Data boundary
- Your VPC / on-prem
- Network mode
- Air-gap capable
- Agent stacks
- LangChain · CrewAI · Any
- Framework maps
- EU AI Act · GDPR · SOC 2
The evidence your audit team actually needs.
RADAR by AKIOUD AI turns agent activity into structured records — reviewable by security, legal, procurement, and compliance teams without engineering involvement.
LLM and tool timeline
Capture prompts, completions, tool calls, decisions, session context, and replay metadata without moving evidence to a third-party cloud.
Sensitive-data signals
Detect PII and regulated identifiers across prompts, tool payloads, and traces so exposure can be reviewed with retention controls.
Review and escalation records
Record approvals, human review queues, policy findings, risk flags, and unresolved exceptions for regulated decision workflows.
Audit-ready exports
Produce evidence packs, SIEM-ready events, trace exports, and retention records for regulator, auditor, and internal risk reviews.
From raw agent activity to a regulator-ready evidence pack.
The product story becomes credible when the output is concrete: a traceable package of events, findings, controls, and exports.
Trace record
Every material LLM call, tool invocation, and decision receives a session identity, timestamp, actor, model, tool, and evidence hash.
Governance finding
PII exposure, policy drift, missing review, anomalous cost, and high-risk activity become structured findings instead of scattered logs.
Framework mapping
Findings map to reviewable controls across EU AI Act, GDPR, SOC 2, HIPAA, ISO 42001, PSD2, and internal policy.
Evidence export
Compliance teams export an audit pack, SIEM events, retention ledger, and review summary without asking engineers to rebuild the workflow.
Email address and account identifier detected in prompt context for session 7f42. Both values were masked before export. No unresolved exposure.
A clean boundary: your stack executes, RADAR proves.
The product is intentionally independent from execution. That makes adoption easier for engineering teams and cleaner for audit teams.
Your agents keep running
LangChain, CrewAI, custom services, internal workflow engines, LLM gateways, and tools remain under your ownership.
Independent evidence layer
RADAR observes activity, records governance signals, maps evidence to frameworks, and keeps telemetry inside your infrastructure.
Your teams review and export
Security, legal, compliance, procurement, and audit teams get the records they need without rebuilding the agent workflow.
Self-hosted by design, not as an enterprise afterthought.
RADAR is evaluated where regulated teams actually need it: beside production systems, inside the data boundary, connected to existing security and audit tooling.
Agents and tools
Your current frameworks, gateways, APIs, queues, and internal workflow systems keep their ownership boundary.
Evidence collector
A self-hosted collector normalizes activity, governance signals, PII findings, and review events.
Local evidence store
Traces, findings, retention rules, and export history remain in your VPC, on-prem, or air-gapped environment.
Review workflows
Security, legal, and compliance teams inspect evidence without relying on screenshots or engineer-written summaries.
SIEM and audit packs
Structured events and evidence bundles flow to SIEM, data warehouses, audit workpapers, and regulator responses.
EU AI Act evidence, without legal theater.
Map AI activity to transparency, oversight, risk-management, and record-keeping evidence. AI Act obligations broadly apply from 2 August 2026, with exceptions.
Article 13 Transparency
Session timelines, model context, tool activity, and user-facing disclosure records that help teams explain how an AI workflow behaved.
Article 14 Human Oversight
Review queues, approval history, escalation records, and unresolved-exception evidence for workflows that require human oversight.
Risk Management & DPIA
Risk signals, sensitive-data findings, incident notes, and DPIA-supporting exports that legal and security teams can review.
Audit & Evidence
Trace exports, evidence packages, retention history, and review summaries for auditor requests and regulator-facing workpapers.
Built for the teams that can block AI deployment.
RADAR gives each buyer the evidence they need to approve, monitor, and expand agent workflows without losing control of data.
Know what touched sensitive data
Review PII findings, tool access, anomalous activity, unresolved exceptions, and SIEM-ready security events.
Map activity to obligations
Connect agent behavior to transparency, oversight, record-keeping, retention, and incident-review evidence.
Adopt without a rebuild
Connect RADAR beside existing stacks and keep runtime ownership, deployment patterns, and observability workflows intact.
Evaluate inside the boundary
Start self-hosted, validate evidence quality, confirm data residency, and expand to paid Pro or Enterprise licensing.
Evaluated by teams that cannot wait for regulation.
Teams validating RADAR for production AI agent deployments.
“Our compliance team needed trace-level evidence for every customer support interaction. RADAR gave us that without moving data to a cloud we don't control.”
“Our platform team refused to deploy agents without independent audit trails. RADAR sits beside our stack without owning execution — that was the deciding factor.”
“We evaluated three monitoring tools. Only RADAR kept evidence inside our air-gapped environment and mapped findings to EU AI Act articles out of the box.”
Validated in production environments.
Reference scenarios with measured outcomes from RADAR evaluations.
Readiness Before GA
“We run policy, observability, and cost tests inside your environment before launch. GA is earned, not assumed.”
EU AI Act enforcement is August 2026.
Regulated teams deploying AI agents need compliance evidence before enforcement begins. RADAR lets you evaluate self-hosted today.
From self-hosted evaluation to enterprise compliance.
The commercial path is RADAR: start free in your infrastructure, then expand into paid governance, integrations, and evidence packs.
Self-hosted evaluation for monitoring existing agent stacks and validating evidence flows.
Paid governance, PII controls, configurable retention, and compliance evidence workflows.
Procurement-ready deployment, SSO/SIEM integrations, support, and compliance evidence packs for regulated teams.
Open source stays visible as technical proof, not the buying path.
AKIOUD AI maintains open-source enforcement projects because regulated buyers trust teams that can show real low-level depth. RADAR remains the commercial product.
RADAR
Self-hosted compliance evidence for regulated enterprises. This is the product the website sells and the path buyers evaluate.
AKIOS OSS
Open-source execution cage for AI agents. It proves technical depth, but it is not the free tier of RADAR.
EnforceCore
Apache 2.0 runtime enforcement framework for AI agents. Useful as a separate developer/security primitive.
Technical FAQs.
Pricing.
From free self-hosted evaluation to enterprise compliance deployment. Compare features →
RADAR Free
Freeself-hosted
Self-hosted free evaluation of RADAR. Start proving compliance evidence in your own infrastructure.
Self-hosted deployment
Agent activity monitoring
PII and policy evidence
Local trace retention
Technical evaluation path
RADAR
Custompaid license
Paid self-hosted compliance platform for regulated teams that need governance, evidence packs, and integrations.
RADAR monitoring and replay
PII detection and governance checks
Tamper-evident audit trails
Team RBAC and self-hosted trial
SIEM-ready compliance events
Audit evidence exports
Enterprise
Customcontact us
Procurement, SSO/SIEM, retention, evidence packs, and support for regulated organizations.
VPC / On-prem deployment
SLA & 24/7 Support
Audit log export
Custom integrations
Dedicated account manager
On-site training
AI Act enforcement is 3 months away. Start evaluating today.
Deploy RADAR self-hosted in under 5 minutes. No license key required. Your data stays in your infrastructure.