On the Internet, there are only victims and potential victims. Everyone has exposure, from individuals to large enterprises.
Every minute sees more connected devices added to the attack surface. In the race to broaden and deepen defenses, security teams are faced with the additional challenge of increasing complexity.
More products, more events, and more monitoring are making it ever harder to find relevant and true indicators of compromise, pushing the security situation closer to bedlam.
This spiraling complexity diminishes a security team’s awareness and responsiveness, ultimately driving up the true cost of operational security.
Defenders didn’t inflict this on themselves. The proliferation of vendors and products, driven by overwhelming need and a growing security economy, has created a wide diversity of approaches to solving various security problems.
In seeking to find a novel, often information-centric angle, however, many of these solutions have inadvertently created new challenges and failed to improve security.
Some type of malware is involved in part of almost every security incident. This means having an effective endpoint security strategy is one of the biggest challenges facing security teams.
In this white paper, we examine current attack detection strategies that are rapidly gaining popularity. We will discuss the pitfalls of pure post-execution strategies, and review the underlying core of the malware detection problem that vexes most enterprises.
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This is a Security Bloggers Network syndicated blog post authored by The Cylance Team. Read the original post at: Cylance Blog