This exchange neatly sums up a key IT security problem. Companies have to rely on staff to observe reasonable security practice, on partners not to pass on malware, and so on. Just like the financial markets, a big part of security is trust. But when that trust is undermined, things fall apart rapidly. And the problem is, it’s very hard to spot the clues that show when trust has been breached, and a security threat is emerging.
Drowning in data
Why is this? Because complex networks and security deployments throw out Gigabytes of log data every day. Although they’re vital, security systems such as IPS, IDS, firewalls and anti-virus also create problems by generating false positive alerts, often hiding emerging threats from the IT team.
A recent IBM survey of 700 European IT managers highlighted the scale of the issue. Over 45% received more than 4,000 security events per second. This volume of data swamps IT teams, and makes it almost impossible to prioritise potential threats.
Perhaps the most critical issue is delayed action. These events take time to sort through – time that can be exploited by REAL security threats. And before you know it, you could have business partners, customers or shareholders asking: "Why didn’t you notice what was happening?"
Filtering false positives
So what causes false positives? The biggest cause is insufficient alert context. Firewalls and intrusion systems don’t understand the business importance and vulnerabilities of all systems within the organization. For example, an attempted malware infection of a web server may be reported as a high-priority event by the firewall, even if systems have already been patched against it. This is the ultimate aim of security management: understanding and prioritizing reported activities in context. So if a threat arises, it generates an alert. The IT team doesn’t need to know if the threat presents no risk. This gives the IT team the ability to filter the noise, and focus on real threats.
Putting it in perspective
How do you contextualize threats, and filter out the extraneous noise from networks? This is where Security Information and Event Management (SIEM) solutions come in. A SIEM solution automates the collection, correlation and contextualization of security log data and events, which puts what’s happening on the network into perspective – removing the irrelevant noise, and enabling focus on the important events. This makes management easier, and frees up time for the IT team. Let’s look at a real-life SIEM deployment.
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