Agentic Assurance Snapshot
A bounded baseline for an early or constrained system that primarily needs a clear view of evidence readiness.
Independent AI security assurance
Do you knowyour agent?
LeftOut Security finds what other AI security reviews left out. We independently assess an agent’s authority, blast radius, architecture, controls, and evidence—without selling the remediation.
Corporate promise: threats hide in the identities, dependencies, permissions, tools, and assumptions other reviews left out.
Before readiness
Does this actually need AI?
Challenge the problem, test the ordinary-software alternative, and find the minimum useful AI before you add security cost and attack surface.
Run the 60-Second AI CheckCorporate promiseFind what other AI security reviews left out
Independent by designPaid to tell the truth—not to sell the remediation
Campaign questionDo you know your agent?
DecisionProceed, constrain, or pause—with evidence
When this work matters
A real business decision is waiting on security evidence.
Enterprise saleA buyer is asking how the agent accesses data, handles untrusted instructions, and limits tool authority.
Production launchThe system is about to receive customer data or permission to take external action.
Diligence eventLeadership, investors, partners, or customers need a defensible security position.
Material expansionThe team is adding memory, MCP, OAuth, sensitive integrations, or greater autonomy.
Customer deadlineA questionnaire or architecture review is blocking a commercial decision.
Authority increaseAn assistant is becoming an agent that can change data, trigger workflows, or communicate externally.
Public engagement routing
Four routes matched to authority, complexity, and decision pressure.
The right route is determined after a non-sensitive consultation. Scope, fee, evidence requirements, and schedule are confirmed in writing. No website action creates an engagement or authorizes testing.
Agent Authority and Blast-Radius Review
For meaningful write access, privileged integrations, external action, persistent memory, cross-system reach, or weak containment.
AI Architecture and Control Assurance
For multiple trust boundaries, models, RAG, MCP servers, APIs, identities, data stores, or complex control dependencies.
Enterprise Independent Validation
For enterprise review, procurement, diligence, regulated requirements, or leadership decisions requiring independent inspection.
What the work looks like
See how the conclusion becomes defensible.
The final package connects evidence to system reach, credible failure paths, and an explicit decision. This preview shows the information structure without exposing client data or private assessment material.
Illustrative format · no client data
Founder reviewed
Assessment decision package
Untrusted input→Agent authority→Tool action→Business impact
Identities, data, tools, approvals, and downstream actions are shown in one traceable path.
ProvenObservedAssertedUnknown
Every material conclusion shows what supports it and where uncertainty remains.
ProceedProceed with conditionsPause
The report states the decision, its conditions, accountable owners, and what evidence could change it.
Illustrative information architecture only—not a client report, certification, guarantee, or assessment outcome.
Who it is for
The trigger matters more than company size.
This work is designed for teams facing a real launch, buyer, governance, or investment decision—not for every prototype that happens to use an LLM.
Strong fit
- A production or customer-pilot AI system.
- Agents that touch sensitive data or take external action.
- An enterprise deal, launch, diligence event, or customer deadline.
- An accountable sponsor who needs a defensible decision.
- A team willing to show evidence—not just assurances.
Probably not the right engagement
- A personal agent or early prototype with no material business decision.
- A request for certification, attestation, or legal opinion.
- A full penetration test or exhaustive source-code audit.
- Implementation, managed service, or 24/7 support.
- A team unable to define the system or provide relevant evidence.
How judgment is produced
Evidence. Reach. Blast radius. Decision.
The assurance method keeps system boundaries, authority, missing controls, evidence quality, exposure paths, and decision logic visible. It supports professional judgment; it does not replace it.
NIST AI RMFNIST CSFOWASP Top 10 for Agentic ApplicationsMITRE ATLAS
Independent by design
We are paid to tell the truth—not to sell the remediation.
LeftOut Security assesses. It does not sell implementation, managed security, certification, or an endless remediation engagement.
Your team or chosen implementation partner owns the fix. Any follow-up review is defined in writing and kept separate from remediation work.
Founder-led review
Tom Schreier, CISSP
More than 15 years across security operations, cloud security, vulnerability management, security architecture, and NIST-aligned governance in enterprise, regulated, and federal environments—now focused on how AI systems inherit authority and create business exposure.
About the ReviewerEvery final conclusion is reviewed and signed by Tom. AI may assist with evidence organization and analysis; it does not issue the assessment.
CISSP
Security architecture
Cloud security
Vulnerability management
Security operations
NIST-aligned governance
A focused engagement
Fast because the boundary is agreed first.
Many focused assessments can be completed in roughly ten business days once the scope, evidence, and responsible owners are ready. Larger or unusually privileged systems receive a schedule that matches the actual work.
Scope the decision
Confirm the system, business trigger, authorization, handling terms, evidence, fee, and schedule.
Map the system
Architecture, identities, data, tools, authority, and action paths.
Test the claims
Evidence review, abuse paths, control validation, and unknowns.
Make the decision
Founder review, signed report, trust brief, roadmap, and executive readout.
Start with a conversation
Tell us what your system can do—and why security matters now.
Send a short, non-sensitive overview. If the assessment is a fit, the next step is a focused consultation and a written scope. If it is not, LeftOut Security will say so directly.
This is not an evidence channel. Do not submit secrets, credentials, source code, customer data, logs, or confidential architecture.
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