Pressure-test agent safety, financial control, and human judgement before production deployment

Pressure-test autonomous AI agents & human judgement before production deployment

Organizations are deploying autonomous AI agents far faster than they can govern or afford them. Recent market data reveals that while 37% of enterprises have tested or deployed AI agents, only 3% have agent-specific security controls in place. At the same time, unconstrained API usage and rapid token burn threaten to exhaust annual AI budgets in a single quarter. 

When security and engineering leaders cannot independently verify what an agent actually does versus what it claims to do, they cannot trust that agent as a control in production. Traditional governance relies on self-reported assertions or static policy checks, leaving managers blind to hidden costs and unverified security risks.

Introducing Immersive One’s Agentic Harness, an operational proving ground to pressure-test autonomous agents, quantify token spend, verify security guardrails and validate the effectiveness of human orchestrators before production deployment. Through three core capabilities (and more on the way), Agentic Harness turns agent behavior from a matter of assumed trust into verified evidence.

Agent tuning: Audit operational costs and model guardrails in a sandboxed environment

Deploying custom AI agents requires full visibility into prompt configurations, model choices, and operational costs before going live. Through Agent Tuning, teams access a sandboxed environment to configure, stress-test, and optimize agents prior to production deployment.

Teams can compare frontier and open-source models, test system prompts, evaluate Model Context Protocol servers under real operational constraints, and can even bring custom agents directly into the platform by uploading their existing agent skill files.

Every run generates an execution audit trail that logs token usage, latency, tool calls, and exact spend. Once an agent is validated, teams download the tuned skill files for production deployment, and re-upload those files later to iterate as operational requirements evolve. This visibility allows enterprises to deploy agentic AI with confidence, knowing their teams fully understand cost and security risks before going live.

Offensive AI ranges: Validate red-team agent breach capabilities through flag-capture verification

Assessing the efficacy of AI-assisted red teams requires objective proof rather than unverified agent claims. The Offensive AI Ranges capability provides isolated, provisioned target networks where operators can deploy AI red team agents against real targets. Teams validate agent capabilities through flag-capture mechanics, separating actual compromises from hallucinated outcomes. 

The capability maps all executed techniques directly to the MITRE ATT&CK framework and tracks cost per attack phase, equipping exercise leads with clear evidence of what their AI red team can breach.

Developer AI ranges: Remediate AI-native vulnerabilities across live development pipelines

AI coding assistants generate software faster than traditional AppSec processes can review, introducing novel AI-native threats that legacy static analysis tools miss. Developer AI Ranges embed developers and AppSec engineers in a realistic software development environment where they work alongside AI coding agents to triage security backlogs and remediate code. 

Operating across multi-language pull requests mapped to OWASP threats and MITRE ATLAS lists, the capability delivers ground-truth verdicts on exactly which vulnerabilities were identified and remediated versus which flaws bypassed human review. By surfacing real-time token spend across both the range and individual workflows, teams can evaluate developer efficiency and optimize cost-effective agentic coding habits before shipping to production.

Ground your AI adoption in verifiable proof

Validating autonomous AI before production changes how your organization adopts emerging technology. Instead of relying on assumed agent capabilities or waiting for unexpected API invoices, your teams enter production with tested evidence. You confirm that guardrails hold against live attack scenarios, establish clear token cost controls per workflow, and ensure your security and engineering practitioners have the skills to audit agent decisions within strict regulatory boundaries.

Get started

• Existing Immersive One Advanced customer? Log in to Immersive One to start using Agent Tuning & Offensive & Developer AI Ranges. Navigate via the Exercise menu to explore all available Agent Tuning labs and AI Ranges.
• Not an Immersive One Advanced customer? Try our AI Agent: CTI Daily Digest and AI Agent: Brand Check labs for free today and contact your account team to find out how to upgrade.
• Exploring Immersive One for the first time? Book a demo to see how Immersive One’s Agentic Harness delivers verified proof of agent safety, cost control, and execution fidelity.