DiscoveR

Find new attacks, prove you're protected, before deploy

Find every AI vulnerability. Prove you're protected.

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DiscoveRCONTINUOUS RED TEAM
SCANNING YOUR AI ESTATE
FINDINGS0
REPORT READY ✓
Red-team your AI. Continuously. With proof.

The problem

You don't know which attacks your AI would actually survive.

New jailbreaks and exploits land daily. A point-in-time pentest is stale the week after it's filed, and most of your agents were never in scope to begin with.

Mirror restores Proof · evidence you can never erase.

Coverage

What you've tested. What you haven't. Live.

An adaptive RL engine, not a static prompt library, fed by MITRE ATLAS and the OWASP LLM Top 10, re-run on every change. The gaps are as legible as the passes.

Coverage
0 agents scanned 0 critical 0 unscanned

Governance

The CISO gets the scans. Compliance gets the questionnaire. The scans are the answers.

DiscoveR

One encrypted scan

CISO Red-team posture + ranked findings
Compliance Security questionnaire, attested
Auditor Tamper-evident evidence log
Engineering Prioritized remediation tickets

Across the stack

DiscoveR finds them. AgentIQ blocks them. VectaX seals them.

01

Pre-deploy

DiscoveR + SecIntel red-team before anything ships.

02

Runtime: block

AgentIQ enforces policy on every live action.

03

Runtime: seal

VectaX keeps the data encrypted throughout.

Continuous. Scanning never stops. New attacks land daily and re-run automatically.

Frequently asked

Questions, answered

What is AI red teaming and why can't we just use our existing pen testing process?
DiscoveR is purpose-built for AI red teaming, a different discipline from traditional pen testing. Pen testing targets software vulnerabilities: code bugs, misconfigurations, and network weaknesses. DiscoveR targets how an LLM interprets language, follows instructions, and responds under adversarial pressure. Prompt injection, jailbreaking, goal hijacking, and data extraction through conversation are OWASP LLM Top 10 risks that don't appear in a standard pen test. DiscoveR's adaptive RL engine continuously runs attacks specifically designed to surface them across GenAI systems and agentic deployments.
How is this different from running a few manual jailbreak attempts in-house?
DiscoveR runs systematic, automated adversarial testing mapped to OWASP LLM Top 10 and MITRE ATLAS, the standard frameworks for AI adversarial testing. Unlike manual in-house testing, DiscoveR covers multi-turn attacks that unfold across an entire conversation, not just single-prompt exploits. The output is a signed coverage matrix with severity scores by attack category, board-ready and audit-ready from day one. New attacks land daily and re-run automatically.
What does the output look like? Can we share it with our board or compliance team?
DiscoveR produces a CISO-ready risk report that maps every finding to severity levels, OWASP LLM Top 10 categories, MITRE ATLAS techniques, and business impact, structured for executive review, not just technical teams. The report is designed for internal security audits, board-level risk reviews, and regulatory requirements including the EU AI Act, which mandates documented adversarial robustness testing for high-risk AI systems. The signed coverage artifact is evidence legal and compliance can share without a translation layer.
Does DiscoveR test only our model, or also our agents and integrations?
DiscoveR tests both LLM-level and agentic attack surfaces, not just isolated model behavior. As AI systems evolve into autonomous agents that call tools, access databases, and chain actions, the attack surface expands. Per OWASP's Agentic Security Initiative, goal hijacking and tool misuse are now the top agentic threats. DiscoveR covers these alongside classic prompt injection, RAG poisoning, data leakage, and model extraction. Coverage maps to the customer's specific agent topology, not a generic baseline.
How often should we run red teaming? Is this a one-time assessment?
DiscoveR is built for continuous adversarial testing, not one-time assessments. AI models drift, system prompts change, and new attack techniques emerge constantly; a point-in-time assessment is out of date before it's acted on. The EU AI Act and NIST AI RMF both frame continuous validation as a baseline expectation for high-risk AI deployments. DiscoveR integrates into the customer's release cycle so regressions are caught before production, not discovered after an incident.
Do we need to give Mirror Security access to our model or data to run DiscoveR?
DiscoveR operates as an external adversarial tester, simulating real attacker access patterns against the customer's AI system interface. No access to underlying model weights or training data is required. Mirror probes behavior, not data. For organizations with strict residency requirements under GDPR, HIPAA, or sovereign AI mandates, this is a critical architectural distinction: DiscoveR finds vulnerabilities the way an attacker would, without privileged access to the environment.

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See encrypted AI security in action.

FHE-native inference. Runtime agent guardrails. Continuous red teaming. One platform. Book a working session with the team.

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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.

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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.

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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.

Explore AgentIQ

Zero

AI Governance

The agent estate, governed. Discovers every AI agent (sanctioned or shadow) and runs the four governance workflows.

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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.

Explore Gateway

CodePrism

AI Coding

Coding on encrypted code. Coding assistance, indexing, review, and security scans, all on ciphertext.

Explore CodePrism