Instructions & context
Direct, retrieved-content and multi-turn prompt injection, role impersonation and memory contamination.
ASCENDRA // AGENT ASSURANCEYour AI is live.
Your AI is live.
Are its boundaries?
Customer-facing agents can answer questions, retrieve information and take action. We evaluate whether they stay within their intended permissions — and whether you have the evidence to prove it.
Focused, authorized testing. Synthetic data. Evidence-first reporting. No public third-party probing.
ASCENDRA / SECURITY VALIDATION
Assurance begins with evidence.
Illustrative controls to verify when an agent is connected to business systems.
!Data access boundariesVALIDATE
!Tool permissions and approvalVALIDATE
?Prompt / RAG resilienceREVIEW
✓Runtime evidence mappingTRACE
20 bounded test scenariosILLUSTRATIVE • NOT A REAL SCAN
Conversation boundariesIdentity & data accessTool authorizationRuntime evidence
AGENT ASSURANCE / INTERACTIVE DEMO
See the conversation unfold.
Watch a fictional agent respond to approval pressure, prompt injection and identity challenges. Every prompt, reply and observation appears here. No live agent or customer data is connected.
SIMULATION ONLY · ≈18 SECONDS
CHOOSE A TEST STORY
01 / CONVERSATION FEED
0 of 4Prompt → response → follow-up
◌ Waiting to start · no external chatbot connected.
0 prompts shown0 replies shown0 observations shown
Simulation transcript
Fictional prompts and replies, with expected behavior and limitations.
WHAT YOU JUST SAWA scripted agent under increasing conversational pressure.How we validate real agents ↓Explore the full sample lab ↗
What we evaluateA model can refuse a request.
A model can refuse a request.
Its connected systems still need controls.
Our initial exposure check probes defined behaviors. Deeper validation combines the agent’s responses with actual authorization, data access and tool-execution evidence — never just a chatbot transcript.
Customer boundaries
Synthetic canary exposure, tenant separation, privacy, identity and role enforcement.
Tools & approvals
Approval gates, function permissions, outbound messaging and sandboxed business actions.
Truth & source quality
Policy fabrication, knowledge provenance, unsupported promises and tool-failure handling.
Monitoring & traceability
Correlation IDs, action receipts, audit evidence and a path to integrated runtime telemetry.
Roadmap & control plane
Severity-led findings with recommended identity, guardrail, DLP and runtime-control improvements.
From exposure to assuranceA practical entry point.
A practical entry point.
A more complete security picture.
Start with one authorized agent. Expand only where evidence and business impact warrant a deeper assessment.
STEP 01
Scope & permission
Agree environments, test accounts, synthetic data, API boundaries and rollback plans.
STEP 02
Challenge & observe
Run bounded test packs and capture responses with tool and identity evidence.
STEP 03
Validate findings
Separate observed failures from unverified or unavailable evidence. Prioritize business impacts.
STEP 04
Design next controls
Define runtime monitoring, IAM, DLP, approvals and the AI Control Plane roadmap.
ASCENDRA AGENT EXPOSURE CHECK
Know the risk before you scale the agent.
We’ll select one use case, agree safe testing boundaries, and provide an evidence-led readout with remediation priorities. Scoped assessments can lead into broader AI runtime visibility and control design.