Norse3 Defence
Runtime AI Security for High-Assurance Environments
A policy-enforced control layer for your AI systems, copilots, and agents.
Inspect prompts, files, tool calls, and outputs before they become unsafe actions. Apply deterministic policy controls, narrow safeguard models, and human approvals to protect sensitive workflows.
Policy-Enforced Runtime Control
Deterministic rules for prompts, outputs, and agent tool use
Human Approval for High-Risk Actions
Sensitive or irreversible actions require explicit sign-off
Audit-Ready Event Trail
Every decision logged for security, compliance, and procurement review
Why Now
AI-enabled attack capability is accelerating. Regulatory guidance now explicitly calls for runtime controls and human oversight. Organisations running AI on sensitive systems need a policy-enforced protection layer today.
Frontier AI finds thousands of major vulnerabilities
Anthropic launched Project Glasswing and restricted its most capable model to defensive use after it discovered thousands of critical vulnerabilities in production software.
Assume attackers already have capable AI tools
The UK National Cyber Security Centre advised that defenders should assume at least some threat actors already use AI capabilities, and must adopt the same tools for defensive advantage.
AI will increase the frequency and intensity of cyber threats
By 2027, AI is assessed to shrink the window between vulnerability disclosure and exploitation even further, increasing pressure on defensive teams.
AI Cyber Security Code of Practice published
Requires AI systems to withstand adversarial attacks and unexpected inputs, with human oversight, audit trails, least-privilege permissions, and behaviour monitoring.
How Norse3 Defence Works
A runtime control plane that sits between your users, AI models, tools, and downstream systems. Every interaction passes through five stages before it can take effect.
Inspect
- User prompts
- Files & URLs
- Tool intents
- Model outputs
Score
- Rules engine
- Threat signatures
- Data classification
- Anomaly detection
Decide
- Policy engine
- Allow / rewrite
- Redact / block
- Escalate / approve
Enforce
- API proxy
- Tool-call gate
- Session controls
- Kill switch
Audit
- Event log
- Dashboards
- SOC alerts
- Compliance trail
Inspect
- User prompts
- Files & URLs
- Tool intents
- Model outputs
Score
- Rules engine
- Threat signatures
- Data classification
- Anomaly detection
Decide
- Policy engine
- Allow / rewrite
- Redact / block
- Escalate / approve
Enforce
- API proxy
- Tool-call gate
- Session controls
- Kill switch
Audit
- Event log
- Dashboards
- SOC alerts
- Compliance trail
Rules First, Guard Model Second
Deterministic controls handle the highest-confidence checks: role-based allowlists, data classifications, schema validation, tool permissions, and rate limits. A narrow safeguard model adds detection for exploit-seeking, prompt injection, and anomalous behaviour patterns. The policy engine is always the decision-maker.
Built for Sensitive Workflows
Wherever your organisation uses AI on internal systems, sensitive data, or regulated outputs — Norse3 Defence provides the runtime controls that make deployment defensible.
Protect AI Copilots
Secure copilots that access internal knowledge bases, documents, ticketing systems, and customer data. Ensure they operate within defined boundaries.
Screen Inputs for Threats
Detect prompt injection, exploit-seeking, malware delivery, and data extraction attempts across prompts, attachments, and URLs in real time.
Gate Agent Tool Calls
Validate every tool invocation from autonomous or semi-autonomous agents before it reaches downstream systems. Block, hold, or escalate as policy dictates.
Enforce Organisation-Specific Rules
Apply custom policies for what an AI assistant may see, say, retrieve, export, or execute based on your environment, data sensitivity, and regulatory requirements.
Generate Audit-Ready Logs
Every policy decision produces a structured event with user, system, policy, rationale, timestamp, and action taken — ready for security, risk, legal, and procurement review.
Control, Oversight, and Accountability
Norse3 Defence is designed around the principles that matter most in high-assurance environments: deterministic control, human oversight, and auditable decisions.
Runtime Controls
- Deterministic policy rules applied to every interaction
- Narrow safeguard models for exploit and injection detection
- Tool-call gating with explicit allow, block, and escalate actions
- Session-level controls including quarantine and kill switch
Human Oversight
- Approval required for sensitive or irreversible actions
- Reviewer console for high-risk decision review
- Configurable escalation paths to SOC and risk owners
- Policy authoring by your security and compliance teams
Audit & Compliance
- Structured event log for every policy decision
- Full audit trail with user, system, policy, rationale, and action
- Dashboard views for threat activity and policy performance
- Export-ready for security, legal, and procurement review
Architecture & Privacy
- API-first integration — deploy with minimal code changes
- Pass-through security layer with zero sensitive data storage
- Designed to support GDPR, HIPAA, and financial regulations
- Private deployment options for high-assurance environments
Aligned with the UK AI Cyber Security Code of Practice
Norse3 Defence maps directly to the Code's requirements for adversarial resilience, human responsibility, least-privilege permissions, audit trails, and behaviour monitoring — giving your procurement and compliance teams the language they need.
Request a Private Pilot
We are opening a limited design-partner program for organisations running AI in sensitive workflows. Tell us about your environment and we will scope a pilot together.
Ideal partners use LLMs, copilots, or agents on sensitive data and can name a risk owner who cares about auditability.