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Cybersecurity - Thematic Research

Cybersecurity - Thematic Research


Technological progress has led to a higher incidence of cyberattacks. The big technology cycles of today - e-commerce, mobile payments, cloud computing, Big Data, IoT, AI, and social media - all increase cyber risk for users and businesses.

At the same time, the nature of the threats is becoming more diverse. The list includes advanced persistent threats (APTs), distributed denial-of-service (DDoS), viruses, worms, malware, ransomware, spyware, botnets, spam, spoofing, phishing, hacktivism and potential state-sanctioned cyberwarfare.

Cybersecurity is difficult to insure against precisely because the types of cybercrime differ, the motivations for these crimes differ, the assets targeted differ, and the remedies differ. Whereas most types of criminal activity have a single target (e.g. to steal money) and a single motive (e.g. to get rich), cybercrime is different. It has many motives, can come in many forms, and can be committed by a host of different types of attackers (known as threat actors).

Cybersecurity has therefore become a critical business function, yet it remains a non-core competence for a significant number of boards. Chief information security officers (CISOs) have become increasingly common in recent years (recent research suggests that nearly two-thirds of large US companies now have a CISO position), but the majority do not report directly to the CEO, reducing their effectiveness.

Traditionally, most companies have adopted a prevention-based approach to cybersecurity, but recent advances in technology areas like machine learning are enabling a move towards active detection of threats. This allows pre-emptive action to be taken to stop breaches before they occur and also serves to free up resources currently occupied with chasing false positives from existing, more reactive systems. Spending on artificial intelligence (AI)-infused cybersecurity tools will increase significantly over the coming years.


  • This report focuses on cybersecurity technologies and recent advances in technology areas like machine learning that are enabling a move towards active detection of threats.
  • It discusses that the rise in spending on cybersecurity tools over the coming years.
  • It identifies the winners in the two high-growth security areas, artificial intelligence (AI) and unified threat management (UTM).
Reasons to buy
  • The report focuses on the big players in the cybersecurity industry and where do they sit in the value chain.
  • It identifies the main trends in the cybersecurity industry over the next 12 to 24 months.
  • It gives an industry analysis, discussing the nature of the threats, the investment landscape, and today's cybersecurity paradigm.
  • It discusses how cybersecurity fits into the big data value chain.
  • The report uses a scorecard approach to identify leading companies in a sector.
  • It provides a technology briefing about the cybersecurity framework, which consists of three main components - the core, implementation tiers, and profiles.

Technology trends
Macroeconomic trends
Regulatory trends
Market size and growth forecasts
Mergers and acquisitions
Network security
Unified threat management
Artificial intelligence
Behavioral analytics
Security information and event management
Endpoint security
Mobile security
Identity management
Data security
Application security
Email security
Cloud security
Managed security services
Post-breach consultancy services
Public Companies
Private companies
Who’s who in the cybersecurity sector
Thematic screen
Valuation screen
Risk screen
The NIST Cybersecurity Framework

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