The Secure Delivery Control Plane for Agentic AI

Autonomous agents need
security guardrails.

Artemy is the Secure Delivery Control Plane — the governing intelligence that sits above every tool, enforces policy at runtime, and ensures AI agents deliver what you intended without introducing security risk, drift, or unaccountable change.

Request a Pilot → See the Platform

Runtime policy enforcement · Agent identity & access control · Immutable forensic ledger · SOC2 ready

app.artemy.ai — Delivery Confidence Control Plane

80/100

Confidence Score

4.2/d

Deploy Freq.

6.1%

Change Fail Rate

47m

MTTR

/ 100

DORA Health

88%

Intent Align.

74%

Dep. Risk

62%

Agent Rel.

95%

🔴

Platform-Core API collision detected

Team Helios · Sprint S-41 · 4h ago

dependency

🔴

Agent privilege escalation — BLOCKED

Coding Agent · Infra write-access · 12m ago

security

🟡

PRD-112 intent drift — 3 stories diverged

Product · Payments Flow · 1d ago

intent drift

The Problem

AI agents are writing your
production code. Who's
governing what they do?

53% of enterprise post-mortems now link failures to ungoverned AI. Every major platform optimizes a slice of the lifecycle, but none enforce security, policy, or accountability across autonomous agents at runtime.

🤖

Uncontrolled Agentic Risk

Autonomous AI agents generate code, modify infrastructure, and make decisions — at machine speed, without a governing layer. No identity. No policy. No accountability.

💔

Intent Loss Across Systems

Business intent originates in PRDs and roadmaps — but degrades as it flows into backlogs, code, and automation. No platform tracks the drift.

🌍

Global Delivery Friction

Distributed teams spend ~30% of their time reconstructing context rather than advancing work. Handoffs fail. Knowledge is lost between time zones.

📊

Governance vs Speed False Tradeoff

Teams bypass controls under delivery pressure. Leaders choose between velocity and security — when the Secure Delivery Control Plane eliminates that tradeoff.

Where existing platforms stop

PlatformCore StrengthSecurity Gap

Jira / ADOTask trackingNo agent governance

GitHub CopilotCode generationNo security enforcement

ServiceNowProcess controlNo runtime blocking

LLM AgentsAutomationNo identity, no policy

LinearBDORA metricsNo prescriptive action

Artemy SDCPSecure control plane✓ Full guardrails

THE CTO QUESTION THAT KEEPS YOU AWAKE

"Given everything our agents are doing — how confident are we that we'll deliver what we intended, securely?"

90% of CTOs surveyed reported no single source of truth for delivery and risk. 53% of post-mortems linked failures to ungoverned AI.

How It Works

Observe. Enforce. Learn.
Continuously.

The Secure Delivery Control Plane runs a five-stage loop at every trigger — code change, agent action, spec update, policy violation — with no evaluation phase. The system is always on.

①

Observe

Artemy ingests signals from Jira, GitHub, ADO, ServiceNow, Slack, and meeting transcripts — read-only, no disruption.

②

Interpret & Predict

The Intent Graph maps execution to original strategy. Confidence scoring and dependency forecasting surfaces risk before it materializes.

③

Enforce

The Policy Engine evaluates every agent and human action before it executes — blocking unsafe changes, escalating high-risk decisions, enforcing compliance in real time.

④

Learn & Attribute

Every action — blocked or approved — is written to the immutable Security Ledger. Models improve. Agent trust levels adjust. Compliance reports generate automatically.

The Secure Delivery Control Plane

Five layers. One secure
delivery operating system.

Security is not a feature layer in Artemy — it is a first-class dimension woven across the entire control plane, from agent identity to forensic ledger to runtime policy enforcement.

🔗

Layer 1

Integration & Signal Fabric

A unified, normalized event stream from your fragmented enterprise landscape. Read-only. No disruption.

Jira, ADO, Linear, ServiceNow
GitHub, GitLab, CI/CD pipelines
PagerDuty, Slack, Teams, email
Meeting transcripts via Astra

🧠

Layer 2

Intent Graph & Knowledge Model

Artemy's proprietary memory system — connecting business objectives to code and outcomes in a single semantic model.

OKR → PRD → ticket → code lineage
Versioned intent history
Dependency mapping
Evidence provenance

⚡

Layer 3

Agent Runtime & Orchestration

Host and coordinate Artemy's multi-agent ecosystem safely. LLM-agnostic, model-agnostic, auditable by default.

38+ specialized Astra agents
Multi-LLM routing
Governed tool access
Deterministic execution

🛡️

Layer 4 · Core

Secure Delivery Control Plane

The runtime security and governance heart of Artemy — enforcing policy before every agent action, blocking unsafe changes, and maintaining a forensic ledger of every decision.

Runtime policy engine — Advisory, Approval, Blocking modes
Agent identity & least-privilege access control
Immutable Security Evidence Ledger
Delivery Confidence Score (security as a first-class dimension)

📊

Layer 5

Experience & Interaction Layer

Role-appropriate intelligence delivered where your teams already work — not another tool to adopt.

CTO portfolio confidence cockpit
Jira & GitHub embedded insights
Slack / Teams integration
Astra voice meeting assistant

🔒

Enterprise Ready

Security & Deployment

Enterprise-grade controls from day one. Deploy in your preferred model with full data residency control.

SSO / SAML, RBAC, tenant isolation
SOC2 / SOX audit artifacts
SaaS, private cloud, on-prem, hybrid
PII redaction, minimal data retention

Security Guardrails for Agentic AI

Agents are governed actors,
not trusted tools.

Every AI agent in Artemy operates under explicit identity, scoped least-privilege permissions, defined autonomy boundaries, and continuous behavioral monitoring. Autonomy is earned — not granted by default.

53%

of enterprise post-mortems

linked failures to ungoverned AI

90%

of CTOs surveyed

have no unified delivery & risk source of truth

existing SDLC platforms

enforce runtime agent security across all tools

☠️

Prompt Injection & Hallucination

Malicious inputs or model errors cause agents to generate vulnerable code, exfiltrate data, or make unauthorized changes — propagating into production at machine speed.

Artemy SDCP: Behavioral anomaly detection flags deviations from expected patterns. Every agent output is validated against spec and policy before execution.

🔓

Privilege Escalation & Lateral Movement

AI agents with overly broad permissions can modify infrastructure, access sensitive systems, or trigger cascading failures across the SDLC without a governing layer to stop them.

Artemy SDCP: Least-privilege, dynamically scoped permissions per action. The Policy Engine blocks unauthorized access before it executes — not after.

👻

Shadow Changes & Architectural Drift

Agents autonomously refactor code, alter configurations, or introduce new dependencies — creating undocumented system changes that bypass review, compliance gates, and architectural governance.

Artemy SDCP: The Intent Graph detects drift from original specification. Every agent-driven change is traceable, attributable, and written to the immutable Security Ledger.

⚡

Cascading Failures at Machine Speed

Unbounded agent automation can trigger blast-radius failures across dependent services before any human has the opportunity to intervene or review the chain of events.

Artemy SDCP: Blast radius constraints limit agent action scope. Confidence thresholds auto-escalate high-risk decisions to human approval before execution proceeds.

📋

Compliance Exposure & Audit Gaps

Agent-driven actions leave no auditable trail in existing tools — exposing organizations to SOC2, SOX, and regulatory gaps when security incidents require forensic investigation.

Artemy SDCP: An append-only Security Evidence Ledger records every action with verified identity attribution. SOC2/SOX audit artifacts generate automatically.

🕳️

Supply Chain & Dependency Vulnerabilities

AI coding agents introduce new dependencies and packages without security vetting — silently expanding your attack surface with each autonomous code generation cycle.

Artemy SDCP: Dependency intelligence tracks vulnerability propagation likelihood. Supply chain risk is a scored dimension in Delivery Confidence — not a blind spot.

Runtime Policy Enforcement

Three modes.
One enforcement layer.

The Policy Engine doesn't wait for incidents — it evaluates every human and agent action before it executes. Organizations progress through enforcement modes as their governance maturity grows.

Advisory

Surfaces risks and policy violations

Recommendations only. No blocking. All decisions remain with humans. Ideal for establishing a baseline understanding of agentic risk exposure.

Approval

Routes high-risk actions to defined approvers

Human sign-off required before high-risk agent actions proceed. Scope, blast radius, and confidence thresholds determine what escalates.

Blocking

Autonomously blocks unsafe or non-compliant actions

Real-time enforcement. Unsafe agent actions never execute. Every block is logged with full attribution to the Security Evidence Ledger.

🔒 Security Evidence Ledger — Live Feed