Setting the Stage for Cybersecurity with Threat Intelligence
Effective cybersecurity requires an understanding of what assets need to be protected
By: Greg Akers
Jul. 27, 2014 02:00 PM
Ransomware is the latest example of the increasingly sophisticated and damaging inventions of hackers. Individuals and organizations of all sizes are finding that their data has been locked down or encrypted until a ransom is paid. One program, CryptoLocker, infected more than 300,000 computers before the FBI and international law enforcement agencies disabled it. A few days later, Cryptowall showed up to take its place. Companies paid $1.3 billion last year in insurance to help offset the costs of combatting data attacks like these.
Other examples include highly customized malware, advanced persistent threats and large-scale Distributed Denial of Service (DDoS) attacks. Security professionals must remain ever vigilant to both known and new threats on the rise. However, with proper visibility into the extended network and robust intelligence, an attack can often be detected and stopped before it causes significant damage. By using the network to gain intelligence, cyber defenders can gain greater visibility of adversary actions and quickly shut them down.
Since an attack can be broken down into stages, it is helpful to think of a response to an attack in stages as well: before, during and after. This is standard operating procedure for anyone in the security profession. Let's examine each stage:
Before: Cyber defenders are constantly on the lookout for areas of vulnerability. Historically, security had been all about defense. Today, teams are developing more intelligent methods of halting intruders. With total visibility into their environments - including, but not limited, to physical and virtual hosts, operating systems, applications, services, protocols, users, content and network behavior -defenders can take action before an attack has even begun.
During the attack, impact can be minimized if security staff understands what is happening and how to stop it as quickly as possible. They need to be able to continuously address threats, not just at a single point in time. Tools including content inspection, behavior anomaly detection, context awareness of users, devices, location information and applications are critical to understanding an attack as it is occurring. Security teams need to discover where, what and how users are connected to applications and resources.
After the attack, cyber defenders must understand the nature of the attack and how to minimize any damage that may have occurred. Advanced forensics and assessment tools help security teams learn from attacks. Where did the attacker come from? How did they find a vulnerability in the network? Could anything have been done to prevent the breach? More important, retrospective security allows for an infrastructure that can continuously gather and analyze data to create security intelligence. Compromises that would have gone undetected for weeks or months can instead be identified, scoped, contained and remediated in real time or close to it.
The two most important aspects of a defensive strategy, then, are understanding and intelligence. Cybersecurity teams are constantly trying to learn more about who their enemies are, why they are attacking and how. This is where the extended network provides unexpected value: delivering a depth of intelligence that cannot be attained anywhere else in the computing environment. Much like in counterterrorism, intelligence is key to stopping attacks before they happen.
Virtual security, as is sometimes the case in real-world warfare, is often disproportionate to available resources. Relatively small adversaries with limited means can inflict disproportionate damage on larger adversaries. In these unbalanced situations, intelligence is one of the most important assets for addressing threats. But intelligence alone is of little benefit without an approach that optimizes the organizational and operational use of intelligence.
Security teams can correlate identity and context, using network analysis techniques that enable the collection of IP network traffic as it enters or exits an interface, and then add to that threat intelligence and analytics capabilities.
This allows security teams to combine what they learn from multiple sources of information to help identify and stop threats. Sources include what they know from the Web, what they know that's happening in the network and a growing amount of collaborative intelligence gleaned from exchange with public and private entities.
Cryptowall will eventually be defeated, but other ransomware programs and as-yet-unknown attacks will rise to threaten critical data. Effective cybersecurity requires an understanding of what assets need to be protected and an alignment of organizational priorities and capabilities. Essentially, a framework of this type enables security staff to think like malicious actors and therefore do a better job of securing their environments. The security team's own threat intelligence practice, uniting commercial threat information with native analysis of user behavior, will detect, defend against and remediate security events more rapidly and effectively than once thought possible.
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