- The AI Agent Readiness Check outlines six questions security leaders can use to determine whether an agent is ready for authority in production.
- Cloud Range's AI Validation Range™ connects an organization’s own AI agents through a secure API key connection to a controlled, non-production cyber range, where live-fire attack simulations run against them and their performance is measured.
- 95% of Cloud Range customers report improved readiness after live-fire simulations, and that measurement approach is now applied to AI agents.
Nashville, TN, Aug. 27, 2026 (GLOBE NEWSWIRE) -- Validating an AI agent in 2026 means measuring its performance during a live attack it has not yet encountered before it holds authority over production systems. Cloud Range's AI Agent Readiness Check sets out six questions security leaders can use to determine whether an agent is ready for that authority. The International AI Safety Report 2026 identifies the measurement problem that the questions in the AI Agent Readiness Check help address. The report describes an evaluation gap in general-purpose AI systems and notes performance on pre-deployment tests does not reliably predict real-world utility or risk.* Cloud Range enables organizations to put AI agent validation into practice inside its AI Validation Range™, connecting their own agents through a secure API connection to a controlled, non-production cyber range where live-fire attack simulations run against them. Cloud Range supplies the enterprise environment and adversary emulation, and the organization uses them to test its own AI.
"Pilots and surgeons train in simulation because making judgment calls under pressure requires safe practice. The same standard applies to an AI agent making decisions in a security operations center," said Debbie Gordon, Founder and CEO of Cloud Range.
Key Facts:
- Simulation-driven training on the Cloud Range platform has reduced mean time to detect by up to 66%.
- Teams have improved overall incident response time by up to 30%.
What does the AI Agent Readiness Check measure?
The AI Agent Readiness Check identifies six areas to measure before deployment. Each question targets a decision an organization has to make before giving an AI agent authority in production. The evidence comes from validating the agent while live-fire attacks run against it in a controlled, non-production environment.
| Question | What it establishes |
| How does the agent behave when evidence is contradictory? | Reliability when telemetry disagrees with itself |
| Can restricted data be extracted from it? | Sensitive information disclosure under adversarial conditions |
| Where are the boundaries of its agency? | Actions attempted when a goal conflicts with a permission |
| What does a false positive cost at volume? | Whether triage workload is reduced or relocated |
| How does it perform against unfamiliar attack patterns? | Where confident wrong answers surface |
| How does it compare to the organization's own team? | The human baseline the agent's results are measured against |
How is an AI agent validated before deployment in a SOC?
Cloud Range's AI Validation Range™ connects an organization's own AI models and agents through a secure API key connection, then places them inside infrastructure reflecting operational reality across IT, OT/ICS, cloud and hybrid environments running licensed versions of the security tools the team already uses. Organizations can ingest their own network traffic baselines as PCAPs, rather than using a generic dataset, to test whether the agent can distinguish normal activity from anomalies within a fully emulated, realistic network environment. Live-fire attack simulations also run against that environment while the agent works the incident, and detection and response actions are measured. No production system is exposed.
How do a security team and an AI agent get compared?
Both run identical live-fire simulations in the same environment, scored on the same criteria.
| Dimension | Security team | AI agent |
| Detection | Time to detect | Time to detect and detection performance |
| Triage | Prioritization under incomplete signals | Decision logic and confidence when signals conflict |
| Response | Playbook and workflow alignment | Escalation behavior and actions taken without a human |
| Failure mode | Breakdowns in coordination | Unsafe outputs, policy failures, data exposure |
Cloud Range can put full security teams and AI agents through the same simulated incidents, with each performing the role they would have in real-world response, enabling direct performance comparison under identical attack conditions.
How is the MITRE ATT&CK® framework applied inside cyber range simulations?
Cloud Range maps adversary behavior in its simulations to the MITRE ATT&CK® framework. Each stage of a multi-stage attack corresponds to a documented technique rather than a generic alert, so a security leader can report which techniques were detected and which went unnoticed. The same mapping applies when an AI agent works the incident.
"When a technique goes undetected, we can point to exactly where in the attack chain it slipped through. This tells a team what to fix in order to improve," Gordon said.
How do security teams benchmark detection and response times on a recurring cadence?
By running a program of live-fire simulations on a schedule and tracking identical metrics across missions. Following live-fire simulation programs, Cloud Range customers report a 30% improvement in overall incident response time. FlexRange™ Readiness Programs deliver missions led by Cloud Range Attackmasters, each closing with a performance debrief.
Frequently Asked Questions
Question: How do you validate how AI agents will behave during a cyberattack before deploying them in production?
Answer: The AI Validation Range™ connects an organization's own models and agents through a secure API key connection to a controlled, non-production cyber range built to reflect its real environment. Live-fire attack simulations run against that environment while the agent works the incident, and its detection and response actions are measured with no production system exposed.
Question: What happens when an AI security agent meets an attack pattern it was not trained on?
Answer: That is precisely what validation is designed to surface. Running an agent through multi-stage attacks it has not seen shows whether it escalates to a human or produces a confident wrong answer. Those findings inform oversight rules before deployment.
Question: How does a single platform support both AI agent validation and human SOC team training?
Answer: Cloud Range provides both in one environment. The same cyber range that runs live-fire simulations for security teams also hosts AI agent testing, training, and validation. This makes it possible to compare human and AI performance under identical conditions.
* International AI Safety Report 2026, chaired by Yoshua Bengio and authored by more than 100 AI experts, published February 2026 (DSIT 2026/001).
About Cloud Range
Cloud Range is a leader in Cyber Readiness and Validation, helping organizations continuously measure and improve how people, processes, and AI perform under real-world attack conditions. As the creator of the industry's first full-service, cloud-based cyber range, Cloud Range provides realistic IT, OT/ICS, and cloud environments where organizations can safely train, test, validate, measure, and benchmark cyber readiness across people, processes, and AI agents.
Used by enterprise organizations, government agencies, higher education institutions, critical infrastructure organizations, and managed security service providers (MSSPs), Cloud Range helps organizations strengthen cyber readiness through live-fire cyberattack simulations, objective performance measurement, expert guidance, continuous readiness programs, and AI validation.
Cloud Range has received multiple industry awards recognizing innovation and leadership in cyber readiness, cyber defense, and cybersecurity excellence and has been recognized by leading analyst and research organizations for its contributions to cyber readiness, cyber ranges, AI validation, and modern security operations. Learn more at cloudrangecyber.com.
MITRE ATT&CK® is a registered trademark of The MITRE Corporation.
