The trust layer for the intelligence era.
VectaX
CodePrism
AgentIQ
Zero
DiscoveRThe core problem
Encryption stops at the moment AI starts thinking.
Most security tools protect data at rest and in transit. Then they hand it over in plaintext for the model to read. We call this the inference gap. Every inference call is a data-exfiltration call waiting to happen.
Mirror Security is built on a different principle. Data stays encrypted through inference, through memory, and through every agent action. The model computes on ciphertext. The vector store retrieves on ciphertext. The agent runs inside a policy boundary that never sees raw data.
FHE-native inference closes the gap that VPC isolation, TLS, and disk encryption all leave open. Encrypted guardrails decide what an agent is allowed to do, in real time, without trusting the model's output.
Computes on data it can never see. Acts under rules it can never bend. Leaves proof it can never erase.
- user.query
- [ ciphertext ]
- policy.check
- allow
- vector.search
- [ ciphertext ]
- audit.trail
- signed
- model.compute
- [ ciphertext ]
- plaintext.exposure
- none
Six products. Three guarantees.
One trust layer, expressed as three promises.
Every Mirror product is one layer of the same surface. Adopt one, or stack them — each maps to a guarantee the platform can keep.
"...on data it can never see."
Encrypted compute
"...under rules it can never bend."
Runtime control
"...it can never erase."
Continuous proof
Six layers. One agent estate.
Every Mirror product is one layer of the same surface. Adopt one, or stack them.
VectaX
AI Data Security
Encrypt context, prompts, embeddings, and inference output end-to-end. AI keeps working on data that's mathematically guaranteed to stay private.
DiscoveR
Vulnerability Scanning
Hunt prompt injection, model leaks, and AI-specific zero-days as they emerge across every model, agent, and integration in your stack.
AgentIQ
AI Agent Security
Watch every action, tool call, and decision from your agents. Anomaly alerts, automated response, and a full audit trail built for compliance.
Zero
AI Governance
The agent estate, governed. Discovers every AI agent (sanctioned or shadow) and runs the four governance workflows.
Gateway
AI Gateway
Inspect, authenticate, and throttle traffic before it reaches your models. Prompt firewall, edge auth, and policy enforcement with an audit trail at the door.
CodePrism
AI Coding
Coding on encrypted code. Coding assistance, indexing, review, and security scans, all on ciphertext.
Why Mirror Security
Most AI security tools add inspection. We remove exposure.
Prompt scanners, content filters, and DLP wrappers all assume the model sees plaintext. They inspect what's already exposed. Mirror Security keeps it encrypted in the first place.
Encryption all the way through
Not just at rest. Not just in transit. Through inference itself. FHE-native compute means the model never sees plaintext, even during execution.
Policy before output
Guardrails don't just scan model output. They authorize agent actions before they execute, with signed capability tokens and a full audit trail.
Proof, not promises
DiscoveR validates every defense with real adversarial attacks. Compliance reports come with signed evidence, not checklists.
Production ready
Built for regulated, agentic environments.
Mirror runs where the stakes are highest. Sovereign clouds, regulated industries, and agent fleets that need to act under proof, not promises.
Framework aligned
OWASP Top 10 for LLMs, OWASP GenAI DSGAI 2026, NIST AI RMF, MITRE ATLAS v5.1, EU AI Act, ISO 42001, GDPR, DORA, MiFID II.
Deployment flexible
Global SaaS, private cloud, sovereign region, on-prem, or fully air-gapped. FIPS 140-3 cryptographic primitives. ITAR-aware architecture. Customer-controlled keys at every layer.
Observable & auditable
Every encrypted compute, every policy decision, every red team finding gets a signed, timestamped trail. Built for regulators, not just engineers.
Get started
See encrypted AI security in action.
FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.