AegisRTAutonomous goal pursuit
Examine whether an agent respects its authority when a task encounters insufficient resources, missing approval or pressure to complete—even without a malicious instruction. Premium: under validation.
Agentic AI security testing · Evidence-based red teaming
Red Team What Autonomous AI Agents Decide and Do
AegisRT focuses on real autonomous AI agents and multi-agent systems—not standalone chatbot prompts. Evaluate planning, tool use, delegated authority, approval boundaries and responses to lower-trust information through authorised, controlled staging workflows.
Agentic Standard: invitation-only beta. Agentic Premium: advanced engineering capability under validation. Customer-agent connections require approval and staging integration.
Security testing beyond the final answer
An AI agent may pursue a legitimate objective while making decisions about tools, resources and permissions. AegisRT tests observable agent behaviour in defined synthetic and staging boundaries—not merely whether a model can be persuaded to produce unsafe text.
Tools, approvals & client boundaries
Assess restricted tool requests, cross-client scope, approval bypass and multi-step decisions. Separate attempted actions from gateway decisions and any simulated effect.
Delegation, memory & untrusted inputs
Evaluate prompt injection through lower-trust material, agent-to-agent messages, delegated roles and memory-related risks. Broader multi-agent coverage is in Premium validation.
Agentic Standard and Agentic Premium
Both offerings focus on agentic systems. Standard provides bounded adversarial testing; Premium extends the engineering scope toward autonomous decisions and multi-agent workflows. The two offerings have different release stages.
Bounded adversarial testing
Designed to test a customer's approved staging agent through a reviewed HTTPS bridge, using autonomous AI-generated challenges and defined synthetic tool boundaries.
- Prompt injection through lower-trust content
- Client-scope and approval-boundary scenarios
- Observed mock-tool requests, decisions and evidence gaps
- Scoped HTML/JSON technical evidence
Customer-specific end-to-end integration and reporting access require separate acceptance; access is not public self-service.
Autonomous behaviour and multi-agent evaluation
Advanced engineering candidate for deeper evaluation of consequential agent decisions, including clean-task misalignment without injected instructions.
- Goal pursuit, planning and resource/approval obstacles
- Multi-stage actions, memory and agent delegation
- Signed evidence and simulated action-outcome verification
- Contextual-bandit and sequential Q-learning attack optimisation
Availability: offline mechanisms validated in synthetic benchmarks; real-model and independent customer-agent acceptance remain pending. Premium is not yet commercially released.
In the form, select Agentic AI Assurance and describe your proposed Premium pilot.
How an enterprise connects its own agent
Testing is designed around an actual customer-operated agent—not a substitute synthetic chatbot. Staging-only scope and technical acceptance are required before a customer test.
Request scoped access
Discuss the use case, agent permissions and evaluation objectives. AegisRT issues individual B2B accounts only after approval; there is no public self-registration.
Prepare an authorised staging bridge
Your engineer follows the applicable integration contract for an approved HTTPS endpoint and, where needed, mock-tool instrumentation. Your agent remains on your infrastructure; model weights and source-code upload are not generally required.
Review bounded evidence
Once the integration and evaluation request are approved, run permitted scenarios and review evidence available for the authorised scope. Report and download capabilities must be validated for the particular pilot.
Demonstration versus your agent
Try the AegisRT demonstration
Explore a controlled model-driven demonstration using AegisRT's synthetic tools and test data. Demo outcomes are not findings about your organisation's agent.
Connect your own autonomous agent
The intended customer route evaluates an authorised staging agent through an approved HTTPS bridge. It remains a bounded black-box evaluation unless additional trusted tool-dispatch instrumentation is available.
Model-agnostic integration approach
AegisRT's staging contract is designed for hosted models, privately deployed inference and agent orchestration frameworks that can meet the required API and safety conditions. Compatibility must be established for each integration.
Evidence has boundaries. Authenticated bridge tool events do not independently prove which underlying model made a decision, reveal off-path tools or demonstrate that production permissions are secure. Synthetic effects are not real-world business effects.