Prompt Injection
Instructions cross a trust boundary.
Enterprise AI Security & Assurance
Put autonomous AI into production—without losing control.
Orbyntis helps CIOs, CISOs, and technology leaders make agent authority visible, controls testable, and every critical action reviewable.
Authority VisibleControls TestedEvidence Reviewable
SAP SystemsData & Knowledge
Agent
AI Ecosystems
Tools & Actions
AUTONOMOUS AI ASSURANCE
AgentShield
Test agent authority before critical actions reach production.
Explore AgentShieldAUTONOMOUS AI ASSURANCE
Evidence Vault
Keep the evidence behind every reviewable decision.
Explore Evidence VaultAUTONOMOUS AI ASSURANCE
Policy & Limits
Turn policies into explicit permissions and operating limits.
Explore Policy & LimitsAUTONOMOUS AI ASSURANCE
CI Gate
Bring assurance checks into the software delivery workflow.
Explore CI GateAUTONOMOUS AI ASSURANCE
Runtime Guard
Observe agent activity and control runtime risk.
Explore Runtime GuardApproved Technology Partners
MicrosoftAI Cloud Partner
Approved Technology Partners
MicrosoftAI Cloud Partner
Orbyntis AI Security LabSee where autonomous authority becomes exposure.Explore one architecture through 15 private, in-browser questions. Directional, not a certification.
Guided Exposure Check
One workflow.
Five control layers.
Answer from the perspective of the highest-impact agent you operate or plan to deploy.
- 01Context
- 02Authority
- 03Reach
- 04Controls
- 05Evidence
No responses leave this page.
Directional Exposure Index
0/100
Exposure mapped
Calculated only from the 15 answers above. This is not a vulnerability scan, certification, or compliance determination.Threat Exposure Map
Which paths are relevant to your architecture?
Select any combination. The map shows exposure paths to review—it does not claim that a selected platform is vulnerable.
Platforms & Frameworks
Agent Capabilities
Selected ArchitectureChoose your stack aboveSelections stay in this browser.
ORBYNTIS CONTROL VIEWAUTHORITYPOLICYEVIDENCE
Relevant Exposure Paths0
Select a platform or capability to begin.
Indirect Injection
External content influences agent behavior.
Tool Abuse
A valid tool is used outside intended purpose.
Unsafe Execution
Actions change systems without a sufficient gate.
Data Leakage
Sensitive context reaches an unintended destination.
Memory Poisoning
Stored context changes later decisions.
Agent Escalation
Delegated authority exceeds the initiating scope.
Identity Spoofing
Action ownership becomes ambiguous.
Privilege Escalation
Agent rights exceed least privilege.
Model Jailbreak
Policy behavior is intentionally bypassed.
Supply-Chain Risk
External models, tools, or content alter trust.
MCP Risk
Server authorization and tool scope need review.
Tool Poisoning
Tool metadata or behavior becomes hostile.
Evidence Gap
Critical actions cannot be reconstructed.
What Changes Before AI Acts
Make authority visible.
Make control provable.
Three questions matter before an autonomous system reaches production.
Know the boundary
Learn MoreFocus
Map what the system may access, decide, and change.
What You Leave With
Workflow boundary and authority inventory
Test the pressure
Learn MoreFocus
Exercise misuse paths before they become operational incidents.
What You Leave With
Test evidence and validation results
Prove the control
Learn MoreFocus
Leave reviewable evidence for engineering and governance teams.
What You Leave With
Operating cadence and evidence trail
ProductsFive products. One assurance path.Start with the risk you need to understand. Expand only when you are ready.
Assess exposure before AI acts.
Map permissions, tools, memory, identity, and action boundaries—then test where control can fail.
Keep assurance evidence reviewable.
Organize the evidence created through assessment, validation, and operational review.
Make ownership and approval explicit.
Connect AI actions to clear decision rights, review points, and accountable operating roles.
Test assurance as systems change.
Bring repeatable control validation into the delivery path before higher-risk changes move forward.
Keep authority visible in operation.
Support runtime review and response around sensitive tools, actions, and business workflows.
Services
Engineering depth where
assurance needs it.
Explore only the service relevant to your immediate risk.
Enterprise AI Consultation & Engineering
Explore ServiceChallenge
A working AI pilot still needs explicit data boundaries, approval paths, and production acceptance criteria.
Engagement Outputs
A documented target architecture and trust-boundary map Prioritized engineering and security requirements A controlled path from pilot to production
AI Red Teaming
Explore ServiceChallenge
Model-only tests can miss prompt injection, tool misuse, and approval bypass across the complete action chain.
Engagement Outputs
A threat-informed adversarial test plan Evidence-backed findings ranked by business impact Remediation guidance and validation criteria
Agent Security & Runtime Risk Assessment
Explore ServiceChallenge
An agent's identities, tools, memory, and integrations can give it more authority than its owners expect.
Engagement Outputs
An inventory of agent capabilities and trust boundaries A risk-ranked control-gap assessment Recommended runtime, approval, and containment controls
Secure Software Development
Explore ServiceChallenge
Assessment findings need reliable implementation across application logic, identity, APIs, and review interfaces.
Engagement Outputs
Security requirements translated into working software Reviewable integration and control patterns Validation evidence for implemented remediation
AI Governance, Observability & Compliance Advisory
Explore ServiceChallenge
Policies need defined owners, observable controls, and evidence from the systems they govern.
Engagement Outputs
Clear ownership and approval responsibilities Defined runtime evidence and review requirements A governance model connected to engineering controls
How It Works
A practical path from unclear autonomy to controlled operation.
Orbyntis work starts by making the agent boundary explicit, then turns risk into engineered controls, validation evidence, and operating ownership.
Map authority
Explore AssessStep Output
Workflow boundary and authority inventory
What You Leave With
A defined agent authority boundary
Find misuse paths
Explore Threat ModelStep Output
Threat scenarios and control assumptions
What You Leave With
Prioritized misuse paths and control assumptions
Build controls
Explore EngineerStep Output
Control plan and remediation backlog
What You Leave With
Engineering actions tied to business risk
Prove the change
Explore ValidateStep Output
Test evidence and validation results
What You Leave With
Validation evidence that can be reviewed
Review evidence
Explore OperateStep Output
Operating cadence and evidence trail
What You Leave With
Operating ownership for monitoring and change
Learn AI Security
Move from concern to a testable risk boundary.
Use these evergreen guides to understand autonomous AI threats, agent security decisions, enterprise patterns, and common assurance questions.
AI Agent Security
Explore GuideTopics Covered
Agent identities and permissions Tool access and context boundaries Runtime controls and reviewable evidence
Focus
A practical hub for authority, tools, identity, context, controls, and runtime evidence.
Autonomous AI Threat Library
Explore GuideTopics Covered
Prompt injection and poisoned context Excessive permissions and unsafe tool use Approval bypass and audit gaps
Focus
Threat families for agentic workflows, mapped to business impact and control questions.
MCP Security
Explore GuideTopics Covered
MCP server and tool security Prompt injection and data exposure Testing connected agent workflows
Focus
Server, tool, testing, prompt injection, and data exposure guidance for MCP-connected agents.
RAG Security
Explore GuideTopics Covered
Retrieval trust boundaries Indirect prompt injection Data leakage and security testing
Focus
Retrieval testing, prompt injection, and data leakage guidance for enterprise AI systems.
AI Security FAQ
Explore GuideTopics Covered
Agent security and red teaming Human approvals and ownership Evidence and assurance decisions
Focus
Short answers to common questions about agent security, red teaming, approvals, and evidence.
Enterprise Case Studies
Explore Case StudiesTopics Covered
Enterprise context and assessment scope Control areas and deliverable patterns Lessons that generalize without exposing customer details
Focus
Anonymous patterns from AI risk, red teaming, governance, and assurance work.
Bring us the system
you need to trust.
Start with a focused briefing. Leave with a clearer assurance path.
Request a Briefing