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Everything your AI needs, in one place.
Ready-made agents, skills, personas, prompts, templates and tools. Each one is checked before it goes live, works with any model, and installs in a click. Rate what you use so the best rises to the top.
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A service that does a whole job for you - research, coding, support - and reports back.
Step-by-step instructions an AI follows for one kind of task. Install once, reuse everywhere.
A voice and set of rules layered onto any model: tone, audience, do's and don'ts.
A ready-to-use prompt with fill-in-the-blank variables and notes on when it works best.
A complete routing setup - models, rules and settings - in one file you can apply in a minute.
A single function an AI can call: a calculator, a search, a database lookup.
A language model endpoint with its price, speed and quality declared so the router can compare it.
deploying-cloud-deception-with-decoy-resources
Deploy cloud-native deception across AWS, Azure, and GCP using decoy (honey) resources whose only purpose is to generate a high-fidelity alert the instant an attacker touches them: canary IAM access k
deploying-honeytokens-and-canarytokens
Plants Canarytokens-based decoy artifacts (honey credentials, DNS tokens, web-bug URLs, AWS keys, documents, kubeconfigs) using Thinkst's open-source Canarytokens project and alerts via email or webho
implementing-canary-tokens-for-network-intrusion
Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement. Integrates with webhook alerting (Slack, Teams, email, generic HTTP)
implementing-deception-based-detection-with-canarytoken
Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and generating
implementing-honeytokens-for-breach-detection
Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers. Uses the Canarytokens API and custom webh
implementing-deception-based-detection-with-canarytoken
Deploy and monitor Canary Tokens via the Thinkst Canary API for deception-based breach detection using web bug tokens, DNS tokens, document tokens, and AWS key tokens.
implementing-canary-tokens-for-network-intrusion
Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement. Integrates with webhook alerting (Slack, Teams, email, generic HTTP)
implementing-canary-tokens-for-network-intrusion
Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement. Integrates with webhook alerting (Slack, Teams, email, generic HTTP)
implementing-canary-tokens-for-network-intrusion
Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement. Integrates with webhook alerting (Slack, Teams, email, generic HTTP)
implementing-canary-tokens-for-network-intrusion
Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement. Integrates with webhook alerting (Slack, Teams, email, generic HTTP)
deploying-honeytokens-and-canarytokens
Plants Canarytokens-based decoy artifacts (honey credentials, DNS tokens, web-bug URLs, AWS keys, documents, kubeconfigs) using Thinkst's open-source Canarytokens project and alerts via email or webho
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Install
One click. You get a manifest the router understands, plus copy-paste snippets for the CLI, Python and YAML.
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Prefer the terminal? osr stack apply registry://starter installs the starter template.