Big Data Security Analytics: The new Paradigm for Cyber Security

This paper explores Four Distinct Ways BDSA Helps SecOps:

  • Big Data Security Analytics vs. Correlation (BDSA vs. SIEM)
  • Breach Detection Using Comprehensive Behavioral Baselining
  • Threat Hunting
  • Breach Visibility and Manageability

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In the ongoing effort to protect information assets, security organizations around the world have invested billions of dollars in cyber security infrastructure. In spite of this investment cyber security threats continue to increase in frequency and damaging impact. The source of many external attacks originate from criminal elements, hacktivist, and state sponsored organizations. CISOs around the world are feeling the pressure to close the gap and reduce the sizable risk posture they currently bear. Security organizations are facing a perfect storm of unpreventable attacks occurring more frequently. The massive amount of inbound data is too much to thoroughly inspect, and there is a severe shortage of skilled security forensic experts. It is time to rethink our approach to detecting, validating, and prioritizing cyber breaches.

Today, undetected intruders are dwelling longer in the targeted network of systems and databases. While there, they are installing portals for easy reentry, and surveillance tools to watch for opportunities to pivot their attack vectors seeking even more data to potentially steal. To reduce the window of risk, security organizations need to be able to:

  • 1) Detect evidence of attacks from huge amounts of machine data faster
  • 2) Validate that the attack is a real threat vs. a failed attempt
  • 3) Prioritize breach incidents based on criticality/value of the targeted resource


HAWK Network Defense White Paper