Continuous Visibility Into Your AI Risk.

Automated AI asset discovery, per-asset risk scoring, policy engine enforcement, and drift detection - continuous posture management for your entire AI estate.

Duration: 2-4 weeks setup + ongoing Team: AI Security Engineer + Posture Analyst

The Challenge

You might be experiencing...

Your AI estate is growing faster than your security team can track - new models, agents, and integrations are deployed continuously with no central visibility.

Without a continuous inventory of your AI assets, you cannot answer basic security questions: what AI systems are in production, what can they access, and what is the risk of each?

AI system permissions drift over time as capabilities are added - an agent that was appropriately permissioned at launch may be significantly over-permissioned six months later.

Compliance frameworks (NIST AI RMF, ISO 42001) require ongoing AI risk assessment, not just point-in-time audits - but your team has no mechanism for continuous compliance monitoring.

When new AI security risks are disclosed - a new attack technique, a vulnerability in an AI framework you use - you have no way to quickly assess which of your AI assets are affected.

AI security posture management brings continuous visibility to an AI estate that is constantly evolving. New models are deployed. Agents gain new tool permissions. Third-party AI integrations are added. Training pipelines are extended to new data sources. Each of these changes can shift your security posture - and without continuous monitoring, you discover the shift only when something goes wrong.

The Scale Problem in AI Security

Point-in-time security assessments work when the thing you’re assessing is relatively static. They are insufficient when your AI estate is growing continuously. A comprehensive AI security assessment conducted six months ago may accurately reflect a posture that no longer exists - new AI features may have been deployed, model permissions may have been expanded, and new agents may have been added to production without security review.

AI Security Posture Management solves the scale problem by making assessment continuous. Instead of a snapshot, you get a live view of your AI estate’s security posture that updates as your environment changes.

The AI Posture Score

Every AI asset in your inventory receives an AI Posture Score (APS) - a composite metric that combines five dimensions:

Data sensitivity - what categories of data does this AI asset process or have access to?

Permission scope - how broad is this asset’s tool access relative to its defined function?

Exposure level - is this asset accessible externally (public-facing) or only internally?

Monitoring coverage - is this asset instrumented for security monitoring at the application layer?

Compliance alignment - does this asset’s governance documentation meet your defined requirements?

The APS enables data-driven prioritization: your security team focuses hardening efforts on the assets with the worst posture scores, not on whichever assets come up in conversation or ad-hoc review.

Continuous Compliance Without Audit Scramble

For organizations subject to NIST AI RMF, ISO 42001, or EU AI Act requirements, continuous compliance monitoring eliminates the frantic pre-audit preparation cycle. Because compliance status is tracked continuously and mapped per-asset, the evidence package for an auditor is always current - not assembled from memory and historical documents in the weeks before an audit begins.

AI security posture management is the operational foundation that makes every other security investment sustainable: assessments can be re-run efficiently, incident response has asset context available immediately, and governance can be enforced through policy rather than manual review.

Our Approach

Engagement Phases

Weeks 1-2

Discovery

Automated AI asset discovery across your cloud environments, code repositories, and deployment platforms. Manual supplement through stakeholder interviews. Complete AI asset inventory established as the posture management baseline.

Weeks 2-3

Scoring

Per-asset risk scoring using the AI Posture Score (APS) framework - combining data sensitivity, permission scope, exposure level, monitoring coverage, and compliance alignment into a single score per asset.

Weeks 3-4

Policy Engine Setup

AI security policy rules configured based on your governance requirements and risk tolerance. Policy engine continuously evaluates each AI asset against defined rules - flagging violations and tracking remediation.

Ongoing

Continuous Monitoring

Automated drift detection - changes in AI asset configuration, permissions, or deployment are detected and re-evaluated against policy. New asset discovery triggers automatic onboarding to posture management. Monthly posture reports delivered.

What You Get

Deliverables

AI asset inventory - continuously updated registry of all AI systems with classification, ownership, and configuration metadata

Per-asset risk scores - AI Posture Score (APS) for each asset, updated automatically on configuration change

Policy engine - continuously evaluating all AI assets against your defined security and compliance policies

Drift detection - automated alerts when AI asset configuration changes in ways that affect security posture

Compliance mapping - automated alignment assessment against NIST AI RMF, ISO 42001, and EU AI Act requirements

Monthly posture report - posture trend, new assets, policy violations, and remediation status

Expected Outcomes

Before & After

Metric	Before	After
Asset Visibility	Unknown - no real-time AI asset inventory	Continuously updated AI asset inventory within 2 weeks
Risk Clarity	No consistent way to rank AI systems by security risk	Per-asset APS scores enabling data-driven prioritization
Compliance Posture	Point-in-time audit only - compliance status unknown between audits	Continuous compliance monitoring with real-time policy violation alerts

Technology

Tools We Use

Custom AI asset discovery NIST AI RMF ISO 42001 Policy engine SIEM integration

Common Questions

Frequently Asked Questions

How is AI Security Posture Management different from a one-time AI security assessment?

An AI security assessment is a point-in-time evaluation - it tells you your posture on the day the assessment is conducted. AI Security Posture Management is continuous - it tracks your AI estate as it evolves, detects when configuration changes create new risks, discovers new AI assets as they are deployed, and provides ongoing compliance monitoring. For organizations with rapidly growing AI portfolios, posture management is what makes security sustainable at scale.

What is drift detection for AI assets?

Drift detection monitors your AI assets for configuration changes that affect security posture - a model endpoint that gains new tool permissions, an agent that is deployed to a new environment without security review, an API integration that begins processing more sensitive data, or a model update that changes behavior in security-relevant ways. Drift events trigger automatic re-scoring and policy re-evaluation, alerting your security team to changes that require review.

How does compliance mapping to NIST AI RMF work?

The NIST AI RMF defines functions (GOVERN, MAP, MEASURE, MANAGE) and subcategories that represent specific AI risk management practices. Our policy engine maps each AI asset's configuration and governance status to the applicable NIST AI RMF subcategories, identifying gaps and tracking progress over time. The same approach is applied to ISO 42001 clauses and EU AI Act articles - giving your compliance team a structured view of where your AI estate meets requirements and where gaps remain.

How do you discover AI assets we might not know about?

Shadow AI is a real problem - AI systems deployed by individual teams or developers without central visibility. Our discovery combines automated scanning (cloud API inventory, code repository scanning for AI framework usage, network traffic analysis for AI API calls) with structured interviews and questionnaires to surfaces AI assets that don't appear in official inventories. Shadow AI discovery is often the most valuable output of the initial setup phase.

What triggers a posture report alert?

Alerts are triggered by: new AI assets discovered (especially shadow AI), policy violations detected on existing assets, significant APS score changes (either direction - improvements are noted as well as degradations), compliance gaps opened by configuration changes, and new AI security threat disclosures that affect assets in your inventory. Alert thresholds are configured based on your risk tolerance and team capacity during the setup phase.

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