This is Part 2 of our three-part series on how cognitive security can help organizations protect their critical assets. Be sure to read Part 1 to learn how cognitive tools can help security leaders address the incident response speed gap.

Fill In the Gaps With Cognitive Security

“Security analysts are expensive resources. In many organizations, they are overwhelmed with work. Alerts are triaged so that only the most serious get worked. Many alerts don’t get worked at all. That means that some security incidents are never investigated, leaving gaps in threat detection.” — Joseph Blankenship, Senior Analyst at Forrester Research

According to a recent report by IBM’s Institute for Business Value (IBV) titled “Cybersecurity in the Cognitive Era: Priming Your Digital Immune System,” security leaders hope to employ cognitive solutions to address a speed gap, an intelligence gap and an accuracy gap when it comes to their ability to detect, analyze, respond to and recover from security incidents.

The Intelligence and Accuracy Gaps

The report indicated that security leaders are most concerned about the incident response speed gap. The intelligence and accuracy gaps rank second and third, respectively. Sixty-five percent of respondents identified threat research as the biggest challenge due to resource constraints, while 40 percent cited the struggle to stay current on threats and vulnerabilities.

Security leaders also placed high importance on the ability to optimize the accuracy of alerts to reduce the number of false positives. In fact, 61 percent of respondents pointed to identifying and assessing threats as a key hurdle.

2016 was a big year for IBM in the cognitive security space. IBM is currently teaching its flagship cognitive computing powerhouse, Watson, the language of cybersecurity and ingesting thousands of documents into the machine to build a corpus of knowledge. The idea is to help Watson “recognize and automate connections between millions of pieces of data at a scale and speed like never before.”

“Advances in artificial intelligence and robotics are now making it possible for humans and machines to work side by side,” wrote analyst Joseph Blankenship for Forrester Research. Until now, however, attackers have had all the advantages. “Once Watson learns the language and nuance of cybersecurity, it could become a very intelligent security analyst, giving security teams an advantage against the attackers targeting them,” Blankenship continued.

Analytics 3.0

The September 2016 “McAfee Labs Threats Report” used the term “Analytics 3.0” to describe the analytics process that combines “machine learning with big data, deep learning and cognitive computing” to produce “fast, proactive discovery and insight.”

The IBV survey echoed this optimism. Fifty-seven percent of respondents believe cognitive computing-enhanced security can “significantly slow the efforts of cybercriminals.” In terms of the key benefits, leaders cited improved detection and incident response decision-making capabilities (40 percent), significantly improved incident response time (37 percent), and increased confidence to discriminate between events and true incidents (36 percent).

Join the Revolution

While chief information security officers (CISOs) may have cognitive security on their minds, many top leaders are also excited about what cognitive technologies can do for their organization. According to an IBM study, half of the chief executive officers (CEOs) queried said cognitive computing “will revolutionize their business in the next three to five years.”

This realization is fueling very large investments, in terms of both research and development and mergers and acquisitions, in this technology. In fact, the market is expected to be worth $31 billion in 2019.

A 2016 Accenture Operations report, “Cybersecurity and Digital Trust in 2016: Re-thinking ‘State of the Art’,” mentioned cognitive computing as one of the hottest growth areas. It also predicted a large increase in deployments in the next 12 to 18 months. If cognitive security isn’t already on your radar, it should be.

Security leaders should get ready for questions from their CEOs and board directors about the cybersecurity benefits of cognitive computing. You would be hard pressed to point to a single action item that won’t benefit from cognitive computing. If you don’t feel ready to adopt the technology, you’d better have a great argument prepared instead.

Read the full IBM Report on cybersecurity in the cognitive era

More from Artificial Intelligence

Autonomous security for cloud in AWS: Harnessing the power of AI for a secure future

3 min read - As the digital world evolves, businesses increasingly rely on cloud solutions to store data, run operations and manage applications. However, with this growth comes the challenge of ensuring that cloud environments remain secure and compliant with ever-changing regulations. This is where the idea of autonomous security for cloud (ASC) comes into play.Security and compliance aren't just technical buzzwords; they are crucial for businesses of all sizes. With data breaches and cyber threats on the rise, having systems that ensure your…

Cybersecurity Awareness Month: 5 new AI skills cyber pros need

4 min read - The rapid integration of artificial intelligence (AI) across industries, including cybersecurity, has sparked a sense of urgency among professionals. As organizations increasingly adopt AI tools to bolster security defenses, cyber professionals now face a pivotal question: What new skills do I need to stay relevant?October is Cybersecurity Awareness Month, which makes it the perfect time to address this pressing issue. With AI transforming threat detection, prevention and response, what better moment to explore the essential skills professionals might require?Whether you're…

3 proven use cases for AI in preventative cybersecurity

3 min read - IBM’s Cost of a Data Breach Report 2024 highlights a ground-breaking finding: The application of AI-powered automation in prevention has saved organizations an average of $2.2 million.Enterprises have been using AI for years in detection, investigation and response. However, as attack surfaces expand, security leaders must adopt a more proactive stance.Here are three ways how AI is helping to make that possible:1. Attack surface management: Proactive defense with AIIncreased complexity and interconnectedness are a growing headache for security teams, and…

Topic updates

Get email updates and stay ahead of the latest threats to the security landscape, thought leadership and research.
Subscribe today