Seedata.io
Threat Intelligence
Seedata.io detect attackers by luring them to disclose their presence, turning their own techniques against them.
seedata.ioopens in a new tabEstablishedDeceptive TechnologyHoneypots
Threat Intelligence
Thinkst Canary
Most companies find out way too late that they have been breached.
EstablishedDeceptive TechnologyHoneypotsPenTestThreat IntelligenceInsider Threat Monitoring
Back to marketplace
Best for
Organizations evaluating deceptive technology solutions.
Overview
Most companies find out way too late that they have been breached. Even with millions of dollars invested in security, the average company only finds out they've been hacked after about 200 days! Canary Changes This. Most security solutions are needlessly complex, demand you change your focus to make them the center of your universe. Canary Changes This. Canaries can be deployed in minutes (even on complex networks) and are immediately useful. We've helped hundreds of companies around the globe discover when their other controls have failed. We can help you too. Canary is built with love by the folks at Thinkst, who have decades of experience in offensive cyber security research. We know what works, what doesn't and what burns defenders time while adding 0-value. Canaries are deployed (and loved) all over the world. From the networks of billion dollar Silicon Valley darlings to the networks of Nuclear Research Agencies. From universities in Australia to aquariums in the US Midwest, the Canaries happily serve, always vigilant.
The problem it solves
Thinkst Canary addresses deceptive technology needs.
Core capabilities
- Deceptive Technology
- Honeypots
- PenTest
- Threat Intelligence
- Insider Threat Monitoring
Ideal customer profile
Confirm fit with a CYBER BUYER advisor.
Use cases
Insider Threat Assessment
Why CYBER BUYER is featuring this vendor
Thinkst Canary is part of the CYBER BUYER vendor portfolio.
Questions to ask during evaluation
- Which deployment models and integrations are supported?
- How is pricing structured as we scale?
- What does a typical implementation timeline look like?
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