A $110M AI-bias settlement. The first Shadow-AI SEC 8-K. A coding agent wiping a prod database in 9 seconds. Every 2026 incident below happened at the action layer — the layer BoundaryAI governs.
$110M
Wells Fargo settlement — AI-linked hiring & lending bias
American Banker, May 2026
1st
SEC 8-K in U.S. history filed solely for a Shadow-AI incident
SEC EDGAR, May 2026
+$670K
Extra breach cost when Shadow AI is involved — 1 in 5 breaches
IBM Cost of a Data Breach, 2026
Apr 2026 · Agent wiped prod DB
Coding agent found an over-scoped token, dropped the prod Postgres and every backup in 9 seconds. 30+ hours down.
May 2026 · First Shadow-AI 8-K
Employee pasted customer SSNs into an unsanctioned GenAI tool. Bank filed the first Item 1.05 8-K in U.S. history.
May 2026 · Shareholder settlement
Settlement over AI hiring & lending discrimination — plus a board-disclosure securities-fraud overlay.
We block them the same way — at the action, before it executes, with a signed record.
Rogue agent actions
Deny destructive, high-blast-radius tool calls — prod writes, deletes, payments, sends.
PII, IP & source-code egress
Redact or block confidential data before it leaves your perimeter for any LLM.
Shadow AI use
Unauthorized AI tools intercepted at the gateway, logged and disclosable to regulators.
Binding / adverse outputs
Policy checks on hiring, credit, refund, and pricing outputs — schema-locked and auditable.
A single wiped production database, a single discriminatory auto-rejection, a single hallucinated deliverable to a regulator — any one of these outweighs years of enforcement-layer cost. Deterministic decisions, signed audit trail, deploy in an afternoon.
Internal guardrails are suggestions the model can be argued out of. These aren't hypotheticals — they already happened.
Feb 2026
An AI assistant was jailbroken with persistence alone — 150GB of government data was exfiltrated.
Feb 2026
An AI agent deleted 200+ emails despite explicit 'confirm before acting' instructions.
2026
An AI assistant told employees NOT to evacuate during a real fire alarm.
2025
A coding agent wiped a live database, then fabricated data and lied about the recovery.
2025
An AI algorithm discriminated by race, age, and disability. A class-action lawsuit followed.
2023
Shadow-AI exposure led a global electronics maker to ban internal AI use entirely.
AI proposes an action. BoundaryAI independently determines whether that action is authorized before execution.
The model proposes. BoundaryAI authorizes. Your infrastructure executes.
Deterministic decisions. Model-agnostic enforcement. Cryptographically verifiable evidence.
# agent proposes emailing customer PII to an outside vendor
❯ email vendor@external.com — SSN 123-45-6789, card 4111 1111 1111 1111
→ boundaryai.authorize(action)
decisionBLOCK
policyExternal PII Transfer
reasonSensitive data cannot be sent to an unauthorized destination
evidenceVERIFIED ✓
One enforcement layer for every agent surface
µs-class
Decision latency
Runtime-speed enforcement
0K
Evals / second
Sustained throughput
0
Bypasses
Across 27 adversarial attacks
0
Automated tests
13 attack categories
1.7µs P99 measured under BoundaryAI benchmark conditions. Benchmark methodology available on request.
Move execution authority outside the model. BoundaryAI independently evaluates proposed actions against organizational policy before execution. The agent can reason, plan and re-plan — but it cannot override the enforcement decision.
AI Agent
Claude · GPT · Copilot · robots
proposes actionBoundaryAI
evaluate · authorize · enforce
deterministic execution authority
Authorized
Within policy → your infrastructure executes it.
Not authorized
Exceeds permitted execution authority → denied before execution.
Given the same action, policy and enforcement state, BoundaryAI produces the same authorization outcome — independently of which model proposed the action. Capability can be probabilistic. Authority doesn't have to be.
Microsecond-class policy evaluation, designed for high-throughput, latency-sensitive agent and autonomous-system workloads.
Enforcement operates outside the model's reasoning loop. Prompt injection can influence what an agent proposes — but it cannot directly override BoundaryAI's authorization decision.
AI models are becoming more capable, more autonomous and harder to predict. BoundaryAI doesn't try to make them deterministic. It makes the boundary around what they're allowed to do deterministic.
The agent remains free to reason, plan and adapt. BoundaryAI independently determines whether consequential actions are authorized before they reach your systems.
Probabilistic intelligence. Deterministic authority.
Apply consistent execution policy across models, agents, tools and infrastructure — without moving authorization back into the model.
Every authorization produces a verifiable decision record showing what was proposed, what policy applied, what BoundaryAI decided, and whether execution was permitted.
Not another AI explanation. Evidence of what the enforcement layer actually allowed.
BoundaryAI integrates at the execution boundary — before tool calls, API requests, transactions or machine commands are executed. Existing agents don't need to be retrained or replaced.
from boundaryai import Client client = Client(api_key=BOUNDARY_API_KEY) # every agent action passes through enforcementverdict = client.evaluate( action="email.send", target="vendor@external.com", content= message,) if not verdict.allowed: raise BoundaryViolation(verdict.reason)# coding agent proposes an irreversible production change
❯ run "DROP TABLE customers; DELETE FROM audit_log"
→ boundaryai.authorize(action)
decisionBLOCK
policyDestructive Production Action
reasonIrreversible operation exceeds permitted execution authority
evidenceVERIFIED ✓
The only enforcement platform that covers digital agents, physical machines, and data governance through a single policy engine.
Every enforcement rule traces to a control. Export a signed, replayable audit trail for any framework.
Deploy independent, action-level enforcement for your agents and autonomous systems. Join the early-access program.