The Governance Gap

Your organization is giving AI agents operational authority — without the oversight you'd require for any employee.

Autonomous agents are processing claims, managing vendor relationships, analyzing regulated data, and making operational decisions. When one exceeds its authorized scope — or gets manipulated — there is no independent evidence of what happened.

No independent governance layer — platform safety features are the vendor's internal controls, not external verification

No tamper-evident record — vendor telemetry can be modified and isn't independently verifiable

No proof of reasonable care — when something goes wrong, you can't demonstrate governance was in place

Documented Failure

Autonomous agent socially engineered into giving away full inventory at $0.00

A user convinced a customer-facing agent to set all prices to zero. Platform logs recorded it — but no independent evidence existed to prove governance was ever in place.

Emerging Requirement

Microsoft now assigns enterprise identities to AI agents — compliance frameworks will follow

Entra Agent ID treats agents as organizational actors with identity and audit requirements. Compliance and liability frameworks will follow — and they'll require independent governance evidence.

Governance Model

The Same Framework You Use for Employees — Applied to Agents

Your organization already governs human employees with contracts that define authority, work orders that scope specific tasks, and compliance functions that enforce boundaries and maintain records.

DriftGuard applies this proven model to AI agents. A charter defines the agent's standing authority — the ceiling of what it can ever do. A plan scopes a specific task. The plan can never exceed the charter. This is enforced by infrastructure, not by asking the agent to comply.

Your Workforce	DriftGuard Equivalent
Employment contract + SOPs	Charter (standing authority)
Work order / assignment	Plan (task-specific scope)
"Here's what I intend to do"	Plan attestation
Employee performs work	Agent executes via governed gateway
Compliance audits and enforces	DriftGuard enforces and records
Personnel file / audit trail	Hash-chained evidence ledger + sealed bundles

Enforcement

This Is What Happens When an Agent Drifts

The agent attempted an unauthorized tool call. DriftGuard caught the mismatch, denied the action, and halted the run — all before anything reached your systems.

DriftGuard activity narrative — run started, context verified, then search_tasks denied with AGENT_TOOL_MISMATCH at score 0.71, run halted at T2 gate awaiting approval

Intent Attested

Every tool call is scored against the charter in real time. The agent declared search_tasks — DriftGuard scored it at 0.71 and flagged AGENT_TOOL_MISMATCH.

Action Denied

The call never reached your systems. DriftGuard blocked it at the gateway — infrastructure-level enforcement the agent cannot bypass, disable, or negotiate with.

Run Halted at T2 Gate

The composite drift score triggered a T2 gate — automatic halt, awaiting human approval. The agent is frozen until an operator reviews and decides.

Hash-Chained Evidence Ledger — Each Record Seals the One Before It

1 · Charter Snapshot

agentclaims-proc-01

version3.2

prev_hash000000…

ca7f61…d723c09e

2 · Plan Attestation

taskapprove_claim

scopeverified ✓

prev_hashca7f61…

b0d3e1…48f6a2c7

3 · Drift Evaluation

composite0.722

gateT0 · pass

prev_hashb0d3e1…

e92c4f…11b805d3

4 · Enforcement Decision

actionapprove_claim

resultALLOWED

prev_hashe92c4f…

7a1d88…c3f9e052

5 · Evidence Sealed

bundlerun_5b972cf5

files14 artifacts

prev_hash7a1d88…

f3bc90…a6d4e71f

Each hash includes the previous record's hash — alter one entry and every subsequent hash breaks

How You Get Started

You Don't Write Governance Policies from Scratch

You can't govern what you don't understand. DriftGuard watches your agents in production — mapping every tool call, risk category, and behavioral pattern — so your governance policies are built on evidence, not assumptions.

DriftGuard tool usage treemap — 1138 calls across 30 tools over 4d 5h, color-coded by risk: green read-only, yellow write/mutate, red network/external

Tool Usage × Risk Mapping

1,138 calls 30 tools 4d 5h observed 3 risk tiers

Every tool call is classified by type — read-only, write/mutate, network/external — and mapped by frequency. You see exactly what your agent touches, how often, and how dangerous each action category is. 1,138 calls. 30 unique tools. The risk surface, quantified.

Workflow Pattern Detection

20 patterns 56 sessions ESTABLISHED CONSISTENT

DriftGuard automatically identifies recurring task sequences — bulk operations, data lookups, cross-system workflows. Each pattern is tagged as Established or Consistent, with session counts and average duration. You see what your agent actually does, not what it was told to do.

Activity Timeline

24hr view Low · Med · High Per-session drill-down

Hourly call volume across every session, color-coded by risk level. Spot behavioral anomalies, frequency spikes, and off-hours activity at a glance. Drill into any hour to see individual sessions and call counts.

Observe

Deploy DriftGuard in monitor mode. It profiles your agent's real behavior — tools, patterns, risk surface — without enforcing anything.

→

Charter

Observed patterns become authorized task patterns in your charter. Governance is grounded in what the agent actually does — then you tighten the boundaries.

Independent Verification

Platform Safety Features Are Internal Controls. You Need an Independent Layer.

Platform permission systems are valuable — and insufficient. They're vendor-controlled, designed for UX, and produce telemetry only the vendor can verify. Regulators, insurers, and courts need evidence from an independent source.

Platform Safety (Internal)	DriftGuard (Independent)
Protects during operation	Governs and proves what happened
Controlled by the platform vendor	Controlled by your organization
Designed for user experience	Designed for compliance evidence
Covers one platform	Governs agents across all platforms
Vendor can modify at any time	Immutable, independently verifiable

DriftGuard evidence page — drift analysis scores, hash chain verification, and tamper-evident certificate

Flight Recorder

Boeing Builds the Avionics. The Black Box Is Independent.

Every aircraft carries a separate, standardized, tamper-evident recording device — regardless of manufacturer. After an incident, investigators pull the black box, not the vendor's internal telemetry.

Independent Audit

QuickBooks Has Controls. You Still Need an Auditor.

No public company tells regulators "we use QuickBooks, so we don't need an independent audit." The auditor uses their own standards and produces reports that external parties trust.

Building Inspection

The Architect Designs Safety. The Inspector Verifies It.

The builder's own QA is insufficient — they have an incentive to pass. The city sends an independent inspector who verifies compliance against standards the builder doesn't control.

Insurance Requirement

Door Locks Are Good. Underwriters Require Cameras.

Internal controls aren't credible to external parties. Insurers, regulators, and courts don't accept "we built safety in" — they require independent evidence that governance was in place and enforced.

NIST AI RMF

ISO 42001

EU AI Act

EO 14110

These are frameworks DriftGuard is designed to align with — not certifications held. DriftGuard is not certified, accredited, or endorsed by NIST, ISO, the EU, or any government body.

Regulated Industries

Pharma / FDA

Can you demonstrate to the FDA exactly what the agent did during compound analysis — and prove it never exceeded its authorized scope or modified safety thresholds?

Financial Services

When an autonomous agent exceeds its trading mandate, can you reconstruct the full decision chain for the regulator — with independently verifiable proof of integrity?

Insurance

Before underwriting AI agent liability, what tamper-evident evidence exists that governance infrastructure was deployed, configured, and actually enforced?

Federal Agencies

When the IG asks what your AI agent did with access to federal systems, can you produce a tamper-evident record that shows every action was governed, every violation was blocked, and the evidence chain is intact?

Technical Integration

Deploys Alongside Your Existing Agent Stack

DriftGuard sits between your agent and the tools it calls. No changes to your model, prompts, or business logic — governance is enforced at the infrastructure layer.

Works with any agent framework that makes tool calls or API requests.

LangChain LangGraph AutoGen CrewAI Semantic Kernel OpenAI Agents SDK Custom Agents MCP Servers

Deployment Models

Edge / On-Prem — runs inside your VPC or air-gapped environment. Data never leaves your perimeter.

Sidecar — deploys alongside each agent as a lightweight governance proxy.

Gateway — centralized enforcement point for all agent traffic in your environment.

Python Gateway integration

# Point your agent's tool calls through DriftGuard
from driftguard import GovernanceGateway

gateway = GovernanceGateway(
    charter="charters/claims-processor.yaml",
    mode="enforce"  # or "monitor" for shadow mode
)

# Wrap your agent's executor
result = gateway.govern(
    agent="claims-processor-01",
    action="approve_claim",
    params={"claim_id": "4821", "amount": 18500},
)

# result.allowed → True/False
# result.evidence → signed governance record
# result.violations → [] or list of blocked actions

Request Flow

Your Agent

→

DriftGuard Gateway

→

Your Systems / APIs

Policy check + evidence capture happens here — transparent to the agent

Governance isn't
a suggestion.

Your organization is giving AI agents operational authority — without the oversight you'd require for any employee.

The Same Framework You Use for Employees — Applied to Agents

This Is What Happens When an Agent Drifts

You Don't Write Governance Policies from Scratch

Platform Safety Features Are Internal Controls. You Need an Independent Layer.

Boeing Builds the Avionics. The Black Box Is Independent.

QuickBooks Has Controls. You Still Need an Auditor.

The Architect Designs Safety. The Inspector Verifies It.

Door Locks Are Good. Underwriters Require Cameras.

Deploys Alongside Your Existing Agent Stack

See Governance in Action — Not a Slide Deck

Governance isn'ta suggestion.

Your organization is giving AI agents operational authority — without the oversight you'd require for any employee.

The Same Framework You Use for Employees — Applied to Agents

This Is What Happens When an Agent Drifts

You Don't Write Governance Policies from Scratch

Platform Safety Features Are Internal Controls. You Need an Independent Layer.

Boeing Builds the Avionics. The Black Box Is Independent.

QuickBooks Has Controls. You Still Need an Auditor.

The Architect Designs Safety. The Inspector Verifies It.

Door Locks Are Good. Underwriters Require Cameras.

Deploys Alongside Your Existing Agent Stack

See Governance in Action — Not a Slide Deck

Schedule a Briefing

Governance isn't
a suggestion.