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Second, it also means companies can guarantee that these historical vulnerabilities stay patched, since any changes or mistakes on individual instances will be automatically updated once the script interacts with the instance. First, as described above, it is possible to respond to security vulnerabilities quickly across all environments. When a new instance is launched, these tools are responsible for getting that instance ready for production, including security-sensitive configuration tasks like binding the instance to central authentication, installing intrusion detection agents, requiring multi-factor authentication, etc.īut crucially for security, these tools also enforce their manifests and will proactively change configurations on previously launched instances. These script resources are declarative management tools that configure instances, virtualized servers, or even bare metal servers. For companies with an automation script, the only necessary change was a single line in the manifests to make sure the newly released version was running instead.
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In traditional IT, a major vulnerability would mean every system engineer on staff working furiously for 18 hours to manually patch servers.
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When zero-day vulnerabilities are announced, many companies find themselves scrambling to update configurations across hundreds of thousands of servers and virtual instances. Continually check instances across the environment It is arguably the most vulnerable time in an instance’s life, and automating it eliminates countless opportunities for error.Ģ.
If your team has the manpower to only automate one aspect of a system engineering team’s tasks, choose infrastructure buildout.
They don’t have to “remember” best practices every time they spin up a new instance, because they only need to touch the scripts, not the instances, to make a change. In the world of infrastructure as code, you don’t just deploy one server with a single command, you deploy fleets of templated servers with defined security configurations automatically in response to pre-determined events.Īutomating infrastructure buildout significantly reduces the opportunity for engineers to make security mistakes, because engineers don’t have to manually configure security groups, networks, user access, firewalls, encrypted volumes, DNS names, log shipping, etc. Instead of hiring twenty engineers to deploy instances manually, two engineers can write and maintain the automation scripts that deploy instances without human intervention. It’s particularly impressive considering that as a health insurance company, it must comply with HIPAA’s rigorous security and privacy standards. In a traditional datacenter, the ratio is close to one engineer for every 100 servers. Two system engineers for tens of thousands of servers is a fairly impressive ratio. It doubled in size year-over-year and added server capacity hundreds of times since launch, yet still only employs two system engineers. Take, for example, a billion dollar health insurance company that launched its entire fleet of applications on Amazon Web Services - all in the span of three months. However, many enterprise organizations struggle with implementing best practices.Here are five tips for automating enterprise security systems:ġ. Smart business leaders will minimize the probability of human error, and security automation is the best way to minimize risk.
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Manual work is risk, and manual security work is a disaster waiting to happen. Cybersecurity spending will exceed $170 billion in 2020, but these initiatives are often useless in preventing an engineer from misconfiguring a firewall or forgetting to patch a security vulnerability on a new server. Misconfigured servers, including cloud virtual machines, accounted for a whopping 86% of records compromised in 2019, according to the IBM Cyber Intelligence Report.
Is your business protected against security threats? The answer may depend on how often your engineers do manual work.
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