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Not so long ago, a worm or virus on the enterprise network meant a late night for an IT administrator digging into firewall or intrusion-detection logs to isolate a problem and control the damage -- an annoying and marginally effective approach for yesterday's simpler threats. Unfortunately, many of today's most dangerous threats escape detection by individual security solutions, even with diligent oversight by administrators because:

  • Complex multidimensional attacks may be sub-threshold events for any single security solution
  • The speed and scale of attacks can quickly overwhelm personnel -- and new attacks appear faster than administrators can research them
  • Attacks occur where and when administrators are unavailable -- at remote offices, or during regional disasters
  • Disgruntled or financially-motivated administrators are themselves behind some of the most dangerous and costly attacks

A cooperative approach with automated correlation across multiple security solutions is the key to coping with enterprise threats like these. Years of responsible investment have equipped most enterprise networks with powerful individual security technologies. Problem is that they are largely point product in nature and attempt to secure issues in a vacuum. Today's solutions take identification, mitigation and reporting a step further by coordinating security across multiple devices from deep within network infrastructure and adapting to meet the changing security threats. These new adaptive solutions save money and time, help maintain compliance with health, securities, banking, privacy, and other regulations, and reduce documentation and reporting burdens.

What's the state of open source? Find out right here.

Adaptive threat management

Adaptive threat management (AdTM) solutions establish a dynamic cooperative system that provides network-wide visibility and control to adapt to changing threats and risks. The solutions are "adaptive" because they change the network's security posture in response to threat conditions, for example by quarantining or isolating a suspect computer, user, or network leg, collecting additional information during an intrusion attempt, or throttling bandwidth allocated to specifically identified applications during a network attack.


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