Related Products
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About
CanaryVaults is a deception-based security platform for AI applications and agents. It uses decoy signals to reveal exposed credentials, data leaks, prompt injection, and suspicious agent activity. Its six components include decoy email identities; CanaryRAG, which embeds invisible, plausible false facts in documents to reveal when their contents surface in AI responses; CanaryShield, a three-layer prompt-injection firewall available as an OpenAI-compatible proxy or an API for scoring text; CanaryHoneypot, decoy AI endpoints that return synthetic data and record attacker activity; CanaryAudit, a tamper-evident log of agent actions; and CanaryAgent (early access), which provides heartbeats, skill scans, and an action timeline for OpenClaw agents. Alerts are available through email, Slack, Discord, Telegram, and HMAC-signed webhooks. API access is included on all plans. A free plan requires no credit card, and paid plans start at $12/month.
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About
Feature flags for java made easy. Enable. and disable features at runtime - no deployment. Implement multiple paths in your code with predicates evaluated dynamically (if/then/else). Enable features not only with flag values but also drive access with roles and groups (Canary Release). Different frameworks supported starting by Spring Security. Implement custom predicates (Strategy Pattern) to evaluate if a feature is enabled. Some are provided out of the box: White/Black lists ,Time based, Expression based. Connect external source like a Drools rule engine. Keep your code clean and readable: Avoid nested if statements but use annotations. Thanks to Spring AOP target implementation is pick at runtime, and thus driven by feature statuses. For each features execution, ff4j evaluates the predicate therefore it's possible to collect and record events, metrics to compute nice dashboards or draw curves for features usage over time.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Teams building AI apps, RAG pipelines and AI agents: developers, security engineers and SaaS companies that need to know when their AI stack is attacked or leaking data.
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Audience
Businesses or individuals looking for a proposition for feature toggle written in Java
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and VideosNo images available
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Pricing
$12/month
Free plan: $0, forever, with no credit card required. Shield: $12/month, billed monthly. Pro: $24/month, billed monthly. Enterprise: $120/month, billed monthly; contract terms are available for negotiated capacity and invoice billing. API access is included on every plan.
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Company InformationCanaryVaults
Founded: 2026
India
www.canaryvaults.com
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Company InformationFF4J
ff4j.org
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Integrations
Amazon DynamoDB
Not Supported
Apache HBase
Not Supported
ArangoDB
Not Supported
Couchbase
Not Supported
Discord
Supported
Docker
Not Supported
Drools
Not Supported
Eureka ERP
Not Supported
HashiCorp Consul
Not Supported
Hazelcast
Not Supported
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Integrations
Amazon DynamoDB
Supported
Apache HBase
Supported
ArangoDB
Supported
Couchbase
Supported
Discord
Not Supported
Docker
Supported
Drools
Supported
Eureka ERP
Supported
HashiCorp Consul
Supported
Hazelcast
Supported
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