Mitiga dramatically accelerates investigation, response, and time to recovery for cloud and hybrid environments, lowers the impact of cyber breaches, and optimizes cloud security incident readiness and resilience.
Zero-Cost IR
Mitiga’s shared responsibility approach to cloud incidents starts before the boom. This proactive investment in readiness, combined with advanced forensics data collection, lowers the impact of cyber breaches and optimizes an organization's incident response.
IR2 captures and enriches forensics data, using automation to accelerate investigation and find the answers to get back to business as usual.
Continuous visibility and orchestration across people, teams, time, and 3rd party organizations allows rapid and accurate decision-making during a crisis.
A commitment to improving cloud incident readiness helps your organization rapidly recover from an attack without incurring additional costs.
With all of the required log data collected and ready, investigation begins as soon as an incident is reported. No need to waste time retrieving data, or worse risk not having it.
As Slack becomes a dominant part of the infrastructure in your organization, it will become a target for attacks and at some point, it is likely to be breached (just like any other technology that we use). The impact of that breach, however, depends on how we prepare for it, by limiting its potential propagation and allowing for fast response.
UserData script manipulation by threat actors is a technique that has been known in the wild for several years and has been observed being exploited by many attack groups, but monitoring and detecting malicious manipulation of user data script is not trivial with standard AWS Cloudtrail logging.
It is hard to overstate the level of havoc generated on global enterprises by year-over-year increases in ransomware attacks. We can point to any number of analyst findings to substantiate this position, but the latest Verizon Data Breach Investigations Report provides a credible, state-of-the-world snapshot.
