AI-SPM

Every AI asset, known and shadow.

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

Fragmented visibility across internal systems, industrial partners and supply chain environments creates blind spots and prioritisation noise. Security teams detect more issues but lack the context needed to determine what truly threatens sensitive programs, defense intellectual property and mission-critical infrastructures.

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 connects exposure signals to operational risk, enabling security teams to prioritise the threats that truly impact defense programs and strategic assets.

Gain deep asset visibility

Maintain visibility across classified and unclassified systems within complex environments.

Validate supply chain exposure

Identify weak contractor links and exposures across the broader supply chain.

Prioritise mission-critical risks

Focus on systems and exposures that could directly impact mission operations.

Correlate threats and accelerate response

Combine exposure data, threat intelligence and operational context to improve response efforts.

Impact

Unknown external assets brought back into scope across cloud environments

Previously unknown external assets brought back into scope across defense ecosystems
Attack paths toward classified environments and engineering systems identified earlier
Exposure prioritisation driven by propagation risk and program criticality
Exposure-to-remediation cycles reduced from weeks to days in critical scenarios
Faster coordination between security, engineering and industrial partner teams