AI-SPM

Every AI asset, known and shadow.

Firewalls & Security Groups

what is actually reachable across each boundary

Three boundaries, one route that actually connects — validated, not inferred from configuration.

Validated 1 route that actually reaches production

Your developers are deploying AI tools faster than your security team knows about them. Panop discovers every model, API, and data pipeline, and maps the attack paths to sensitive data.

Key challenges

AI systems are deployed faster than security teams can inventory them, and the tooling that governs cloud and application risk was not built to reason about models, agents or the data they can reach.

Limited AI Visibility
Organizations often lack a complete inventory of AI models, agents, APIs, and shadow AI, making it difficult to understand and manage their expanding AI attack surface.
Emerging AI Threats
AI systems introduce new risks such as prompt injection, data leakage, model manipulation, and excessive agent permissions that traditional security tools cannot effectively detect or validate.
Fragmented Risk Management
AI security is frequently disconnected from existing cybersecurity programs, making it difficult to prioritize AI risks alongside cloud, identity, and application exposures while meeting evolving governance and compliance requirements.

How Panop helps

Panop brings AI assets into the same exposure model as the rest of your estate, so AI risk is prioritised alongside cloud, identity and application exposure.

Inventory every AI asset

Discover the models, agents, APIs and data pipelines in use across the organisation, including those deployed without security review.

+326/06 – 21/08

Critical 27 High 203 Medium 259 Low 99

Surface shadow AI

Identify AI services reached by your applications and staff that never entered a governance process.

Business Risk Register

likelihood × impact, traced to the exposure driving it

ID	Business Risk	Band	L	I	Top Driver	Owner	Treatment
BR-1	Data Breach & Confidentiality	High	5	3	Unrestricted file upload on portal	CISO	Mitigate
BR-2	Operational Disruption	High	5	3	Unrestricted file upload on portal	CTO	Mitigate
BR-3	Fraud & Financial Loss	High	5	3	Unrestricted file upload on portal	CFO	Accept
BR-4	Regulatory & Legal Exposure	High	5	3	Deprecated TLS 1.0 on gateway	CLO	Mitigate
BR-5	Reputational & Brand Damage	High	5	3	Deprecated TLS 1.0 on gateway	CMO	Mitigate
BR-6	Intellectual Property Theft	High	5	3	Unrestricted file upload on portal	CISO	Mitigate

Every band traces back to a specific, validated exposure — so the treatment decision is defensible.

Map paths to sensitive data

Trace which models and agents can reach regulated or confidential data, and through which permissions.

Risk Evolution

exploitable chains, critical chokepoints & assets at risk over 30 days

Exploitable chains Critical chokepoints Assets at risk

Daily snapshots accrue over time — the trend fills in as history is recorded.

Govern against emerging requirements

Align AI exposure findings with the controls the EU AI Act and internal governance policies expect you to evidence.

Maturity Model

NIST CSF 2.0 · current profile against target

Current Target profile

Every function is scored from live evidence, not a questionnaire — so the gap to target moves as the estate does.

Impact

A complete inventory of AI assets and the data they can reach

Models, agents and AI APIs brought into scope alongside cloud and application assets
Shadow AI deployments surfaced before they reach production data
Excessive agent permissions identified through reachable data paths
AI risk prioritised in the same queue as the rest of the estate
Faster coordination between security, data and engineering teams on AI governance