AI Security & Governance

Adopt AI without giving up control.

Agents, copilots, MCP servers and RAG pipelines are reaching production faster than most security programs can adapt. BLodgic helps you secure these systems, govern how they are used, and prove to executives, auditors and regulators that the controls work.

Assess Your AI Risk See How We Work

Senior practitioners leading every engagementExperience shaped at JPMorgan Chase, the Federal Reserve Bank of New York, Bloomberg, Goldman Sachs and HSBCBuilders of Audit CADDIE

Common triggers

When organizations call us.

AI agents and copilots moving into production
MCP servers and connectors granted broad access
Board or regulator asking how AI is governed
Customer due diligence on AI use
Shadow AI across SaaS tools
Need to align with NIST AI RMF or ISO/IEC 42001
No logging or audit trail for AI decisions
Need an AI readiness baseline first? See AI Transformation & Readiness

Capabilities

Five areas, one accountable program.

AI Governance

Policy
Inventory
Risk classification
Ownership
Approval process
Human oversight
NIST AI RMF
Regulatory alignment

Agent, MCP & Connector Security

Non-human identity
Credentials
Permissions
MCP servers
Tool access
Connector review
Agent offboarding
Supply-chain exposure

AI Architecture & Data Security

RAG
Vector stores
Model APIs
SaaS AI
Private deployment
VPC / on-prem patterns
Data flow
Sensitive data
Logging

AI Threat Modeling & Red Teaming

Abuse cases
Prompt injection
Data leakage
Tool misuse
Privilege escalation
Excessive agency
Model and application boundary testing

AI Auditability

Logging
Evidence
Traceability
Approvals
Incident investigation
Change management

Engagement model

How an engagement works.

01
Discover
Understand your environment, business objectives, obligations, current controls and constraints.
02
Prioritize
Convert findings into business-aligned risk and a realistic execution sequence.
03
Build
Develop controls, architecture, policy, evidence and operating practices with your team.
04
Validate
Test assumptions, controls, remediation and readiness.
05
Operate
Embed governance, executive oversight, recurring review and continuous improvement.

Deliverables

What you receive.

AI system inventory and ownership map
AI risk classification
AI policy and approval workflow
Threat models for agents, MCP and RAG
Identity and permission review for non-human identities
Logging and auditability requirements
Remediation roadmap
Red-team methodology and findings

Why BLodgic

What makes BLodgic different.

Operator-led

Recommendations come from people who have built and run security programs inside banks, technology companies and research organizations.

Execution, not just advice

We stay through remediation, evidence and implementation, so the roadmap turns into working controls.

Technology-enabled

Where it helps, we use Audit CADDIE and our own tooling to remove manual work. People stay accountable for judgment.

Related work

AI Security & Governance

Enterprise AI Governance & Security

Challenge

Fast adoption of AI agents, SaaS tools, APIs, connectors and cloud/data services created unclear ownership and control gaps.

Scope

NIST AI RMF
AI inventory
Identity and permissions
Logging
SaaS / MCP / API threat modeling
Governance
Remediation planning
Red-team methodology

Outcome. Established a governance baseline, prioritized material AI risks and created an executable remediation and operating model.

Related insightAI Security

The Road Ahead for GRC and Cybersecurity with Retrieval-Augmented Generation

Where retrieval-augmented generation fits in governance, risk and compliance work, and where it does not.

BLodgic · January 29, 2024 · 4 min read

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Tell us where you are stuck. We will help determine whether you need strategy, hands-on execution, specialized expertise, Audit CADDIE, or a combination.

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