Dark server room representing existing AI agent infrastructure
THE GOVERNANCE GAP

Your team shipped three AI agents last quarter. Does anyone know what data they touched?

Most teams can't answer that. BastionShield makes sure you can.

Book a demo
THE PROBLEM

Agents need more than access. They need boundaries.

As agents gain the ability to act across your tools and APIs, four gaps tend to open up. Not every organisation has all of them, but most putting agents into production recognise at least one.

Unclear agent identity

When an action reaches a system, you need to know which agent made the request, who owns it, and what it was meant to do. Without that, an agent is just another anonymous API caller.

Permissions that drift

An agent wired up for one job quietly accumulates access to tools and actions beyond its remit. Nobody set out to over-permission it; it happened one integration at a time.

No account of what happened

When something goes wrong, teams struggle to reconstruct which actions an agent attempted, which policy applied, and what the outcome was. The evidence was never captured.

Sensitive actions with no checkpoint

Some operations should not proceed on an agent’s say-so alone. Without a defined point for review or escalation, the model decides, and you find out afterwards.

WHAT BASTIONSHIELD IS

Not a tool. Infrastructure.

BastionShield sits between your organisation and its AI agents as the identity system, permission engine, audit trail, and compliance record, all in one platform. This is not an AI automation product. It is the infrastructure that governs them.

Identity LayerGovernance EngineCompliance Infrastructure
Bulwark Platform Architecture
Your Enterprise AI Agents
Customer Service
Data Analytics
Code Automation
Document AI
Finance Ops
All agent traffic intercepted
BASTIONSHIELD BULWARK
01
Identity
02
Access
03
Logging
04
Risk
05
Compliance
Structured evidence, collected as it happens
Evidence You Can Export And Show Your Auditors
Decision Receipts
Tamper-Evident Log Chain
Agent Inventory
Access & Approval Records
Risk & Anomaly Alerts
One-Click JSON Export
Governance built in, not bolted on
THE PRODUCT, RUNNING

Every agent decision, as it happens.

  • Allow, deny and escalate outcomes on a single stream
  • Escalations queue for a named human rather than failing silently
bulwark / overviewDemo data
Overview
Real-time health of your AI agent estate.
Active agents
24
Decisions today
18,432
Pending approvals
3
Flagged today
1
Decisionslive
agt_support_7Allow
agt_billing_2Escalate
agt_crm_syncAllow
agt_intake_9Deny
agt_report_1Allow
agt_triage_4Allow
PLATFORM MODULES

Five Layers of AI Agent Governance

MODULE 01 / 05Foundation Layer

Agent Identity System

Every AI agent deployed inside your organisation receives a cryptographically signed identity, a persistent record that defines who the agent is, what it was created to do, and who owns it.

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  • Unique agent IDs with cryptographic signing
  • Lifecycle management: create, suspend, rotate, revoke
  • Agent registry dashboard with full inventory view
  • API and SDK for programmatic agent registration

Hover to pause

HOW IT WORKS

The BastionShield Bulwark Architecture

Five integrated layers that together form the complete governance stack for AI agents.

AI Agents
Your deployed automation layer
Identity Layer
Cryptographic agent IDs
Permission Engine
Access control and policy enforcement
Activity Monitor
Tamper-evident audit logging
Compliance Export
One-click EU AI Act and NIST AI RMF evidence packs

Every layer connects to the next. Identity informs access. Access shapes audit. Audit feeds compliance. Built to operate continuously, not just at audit time.

SHADOW AI DISCOVERY

Find the agents nobody registered.

  • Five discovery sources, no agent self-declaration required
  • Risk-scored findings with suspected owner and data access
  • One click to bring a finding under governance
bulwark / shadow-aiDemo data
Shadow AI
Scanning…
Run scan
Total discovered
0
High / critical
0
Discovery sources
Network egressscanning
OAuth grantqueued
Expense feedqueued
Browser DLPqueued
Secret scanqueued
WHO USES BASTIONSHIELD

Built for every organisation deploying AI agents

SAAS COMPANIES

AI Copilots Without Governance Risk

SaaS companies deploying AI copilots inside customer environments have no way to audit agent actions or demonstrate compliance to enterprise buyers. This is now a sales blocker.

Solution: BastionShield provides the audit trail and compliance evidence that unlocks enterprise sales.

Security Review EvidenceAgent Audit LogCustomer-Facing Reports
ENTERPRISE OPERATIONS

Internal AI Agents at Scale

Large organisations running internal automation agents across HR, finance, and operations cannot track what data those agents accessed or what decisions they influenced.

Solution: Centralised identity registry and activity log for every internal AI agent.

Full Activity LogAccess ControlAnomaly Alerts
FINTECH & FINANCIAL SERVICES

Regulatory Compliance for AI Systems

Financial services firms face DORA, FCA AI guidance, and incoming UK AI legislation, with no tooling built to generate the required evidence for AI system oversight.

Solution: Per-agent decision records, access history and risk events, exportable as the evidence your own regulator or auditor asks for.

Decision RecordsAccess EvidenceAutomated Evidence
HEALTHCARE & LIFE SCIENCES

Patient Data in AI Workflows

Healthcare AI workflows touching patient records require complete audit trails and access restriction, requirements that general AI platforms cannot meet.

Solution: GDPR Article 30 processing records and access control for healthcare AI agents.

Processing RecordsData Access ControlExportable Evidence
STEPS TO INTEGRATION

Instrument in an afternoon. Enforce when you trust it.

Governance projects fail when they start by blocking production traffic. Bulwark is designed to record first, so you tune against real behaviour rather than guesses, and enforce only once the denials make sense.

  1. 01

    Instrument

    5 min setup

    Drop in our SDK. One line of code per agent. Python, TypeScript, or REST API.

    • Zero runtime dependencies
    • No infrastructure changes
    • Fails open by default
  2. 02

    Observe

    Week one

    Monitor mode records every agent action and blocks nothing. You get a real inventory, including the agents nobody registered.

    • Shadow-AI discovery
    • Per-agent behavioural baseline
    • Nothing in your critical path
  3. 03

    Enforce

    When you are ready

    Derive scopes from traffic you actually recorded, then turn on the gate for consequential actions and route the irreversible ones to a human.

    • Scopes derived, not guessed
    • Report-only before blocking
    • Human approval on irreversible actions
  4. 04

    Prove

    Continuous

    Every decision lands on a hash-chained trail with a standalone verifier, so an auditor can check it without running our software.

    • HMAC-SHA256 chain
    • Independent verifier
    • Export to your SIEM
Pythonpip install bulwark-sdk
from bulwark import BulwarkClient

bw = BulwarkClient(api_key="bw_live_...")

# Monitor mode: records, never blocks
bw.observe("agt_123", "crm.read", resource="customers")

# Enforcement: returns allow / deny / escalate
verdict = bw.decide("agt_123", "crm.write", resource="customers")
Any languageREST, no install
curl -X POST https://api.bastionshieldtechnologies.com/v1/decide \
  -H "Authorization: Bearer bw_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "agentId": "agt_123",
    "actionType": "crm.write",
    "resource": "customers"
  }'

# -> { "decision": "allow" | "deny" | "escalate", ... }
WHAT WE HOLD

We never store what your agents read or write.

Bulwark records that an action happened. It does not record the contents of that action. Content is stripped before anything is written to disk, so the data your agents handle never reaches our storage in the first place.

Removed before storage

  • Prompts and completions
  • Message and conversation content
  • Request and response bodies
  • Documents, attachments, transcripts

Anything that looks like a card number, email address, national insurance or social security number, bank account, phone number or access token is masked as well, wherever it appears.

Kept, because governance needs it

  • Which agent acted, and on whose behalf
  • What kind of action it was, and on what resource
  • The verdict, and which rule produced it
  • Who reviewed it, and what they decided

This is what an auditor asks for. None of it requires knowing what the data said.

And you can check we did it

Every stored record carries a marker showing what was removed from it and how large the original was. You can prove minimization happened without ever having trusted us with the content, which is a stronger position than a policy document, because it survives the question “how would we know?”

EVIDENCE, NOT LOGS

Proof of why an action was permitted.

A log says an action happened. A decision receipt records the agent, the human it acted for, the policy applied, who held authority to approve and what they decided, linked into a hash chain so any later edit is detectable.

  • Two identities: the agent and the human principal
  • HMAC-SHA256 chain; altering history breaks every later link
  • Standalone verifier, so an auditor need not trust our software
bulwark / decision-receiptsDemo data
Decision receipt
Why this action was permitted, not just that it happened.
Agentagt_billing_2
On behalf ofr.mensah@acme.co.uk
Actionrefund.create · £4,200
Data classFinancial
OutcomeEscalate
Decided byj.okafor@acme.co.uk
Approval statusApproved
Evidence anchorchain verified
sha256:9f2c4b…a71e · prev:4d81ff…02bc
TRUST AND GOVERNANCE

Evidence you can check without trusting us.

The governance principles Bulwark is built around, stated plainly. We describe what the product does, not a framework we claim to be certified against.

Least privilege by declaration

An agent’s allowed tools are declared up front, and actions outside that scope are flagged rather than assumed safe.

Human oversight where it matters

Selected actions route to a person for approval, with the context needed to make the call, and the outcome is recorded.

Content stays out

Prompts, completions and other free-text content are stripped at ingest. Bulwark governs the fact of an action, not the conversation behind it.

Independently verifiable audit

The evidence chain is hash-linked with HMAC-SHA256 and exportable, and a standalone verifier checks its integrity with no secret required for linkage.

Bulwark can support your governance process and produce evidence for it. It does not make your organisation compliant with any framework, and we do not claim certifications we do not hold.

FAQ

Questions teams ask first.

What is Bulwark?

A security and governance layer for AI agents. It gives each agent an identity and a declared scope, evaluates the actions an agent takes against your policy, and keeps a tamper-evident record of the decisions. Version 1 observes and records; it does not block.

Does Bulwark sit in my request path?

No. Bulwark evaluates an action and returns a decision; your own code acts on it. Because it is out of the execution path, it cannot add latency to, stall, or break your agent, and it never needs to see the content of a prompt or a completion.

What do you store?

Metadata about decisions and events. Prompt and completion content, message bodies and other free-text content fields are stripped at ingest before anything is written, and each stored record marks what was removed.

How are agent activities audited?

Decisions and relevant events are appended to a hash-linked chain using HMAC-SHA256. You can export the evidence bundle and check its integrity yourself with a standalone, zero-dependency verifier, so the record does not rest on trusting us.

Does Bulwark replace our identity or security systems?

No. It complements them. Bulwark governs what your agents are permitted to do and records it; it does not replace your IdP, your secrets management or the access controls on the underlying systems.

How do we get started?

Bulwark is sales-led. Book a demo and we will walk through how it maps to your agents, your tools and the evidence your own reviewers ask for.

GET STARTED

Get governance over your AI agents before your auditors ask for it.

Make the right decisions before they become expensive mistakes.

Book a demo to see Bulwark on your stack, or a deeper architectural review with our team. No commitment, and we work with what you already run.

Book a demoBook an architectural review
UK-based teamResponds within 1 business dayWorks with your existing stack