AI Safety and Security
For AI and infrastructure
Autonomous and continuous red-teaming, evaluations, and remediations that find the flaw, enforce the fix, and prove it happened.
Our team comes from
One engine One loop
Our agent runs capability evaluations and red-teams your product, applies the mitigations it finds necessary, and leaves a full audit trail — before and during deployment.
Hundreds of attacks in minutes.
Run any public capability evaluation on our platform to test the strengths of your systems and their infrastructure.
Run #142 · Breaches7 of 312
Samples0
Duration0 min
Defense rate97.8%
Breaches7
Performance by themeRunning
- Security & Access Control100%
- Privacy & Data Protection90%
- Trust & Safety100%
- Reliability & Availability100%
Weakest defenses
Sysprompt ExtractionData leakage · OWASP LLM01 · LLM06 Sensitive Information DisclosureCritical7 / 24 breached
Four kinds of target, each attacked differently
From a single chat endpoint to the network it runs on. Point the agent at what you ship and it picks the attacks.
Traditional
hosts, networks & services
- Reconnaissance
- Exploitation
- Privilege escalation
- Lateral movement
- Payload crafting
Single Agent
one chat endpoint — model, RAG, or agent
- Prompt injection
- Jailbreaks
- RAG data exfiltration
- Hallucination in customer advice
Private preview
Multi Agent
orchestrated agents & tool calls
- Tool-call hijacking
- Trust boundaries between agents
- Sweeps across red team models
Private preview
Harness
third-party agent harness
Ask us for early access.
One agent, five surfaces
01Tinycode CLI
You ask from the terminal.
Describe the target. The agent plans the assessment and asks before every command it runs.
02Platform
The finding lands for the whole team.
Run #142 arrives with every finding ranked by severity, ready to triage and mitigate.
03Cyber Range
Red teaming, as a game.
Challenges worth points against live AI targets. Talk the assistant into leaking its secret, submit the flag, move on to the next one.
04MCP Server
Let your own agent run the range.
Every range action is an MCP tool, from creating a challenge to inviting the team.
05Chrome Extension
Reach chatbots that have no API.
Pair a browser tab with a Platform endpoint and test the real chat UI.
Ship AI you can trust.
One agent. It red-teams, evaluates, mitigates, and keeps the evidence before and during deployment.
- 01
For Enterprises Deploying AI
- AI systems & Infrastructure Evaluation of LLMs, agents, web, cloud, APIs, docker images, and other traditional infrastructure for vulnerabilities. This is even more important in the agentic era for highly regulated industries such as those in housing, banking, and law enforcement. Power up your security & compliance teams.
- Compliance & Governance Continuous evidence trails that map to audit and policy requirements.
- 02
For AI Labs & Model Builders
- Private Red-Teaming Isolated environments to probe models without leaking research IP.
- Custom Research Tailored evaluations against your training and release gates.
- Regulatory Support Documentation and traces ready for safety reviews.
- 03
For AI Security Researchers
- Run our red-teaming agent Drive our red-teaming agent from the CLI and point it at your own targets.
- Sharpen your skills Hands-on scenarios spanning prompt injection, exfiltration, and agent abuse.
- Host your own events Spin up Arena challenges against live agent stacks and invite your team.