What’s your biggest frustration with your current cybersecurity tools? (don’t need to name names, just generally speaking)

Security & GRC
2.8k viewscircle icon1 Upvotecircle icon9 Comments
Sort by:
Director of Information Security in Energy and Utilities3 years ago

Too many tools and most are underutilized.  

CTO in Software3 years ago

Lack of integration in the broadest sense.

Lightbulb on1
Director of IT in Software3 years ago

False-positive is the biggest frustration, especially if they are very common or continue to happen after you whitelist processes/activities reported as false positive.
On the general side, I'm not fond that almost all cybersecurity vendors have extensive use of the buzzwords like AI, ML, and DL. When you get into deep technical conversations with their engineers about how those technologies are used, how they differ from their competitors, etc., you don't get straight answers, which leads you to believe they are just buzzwords. Not all vendors are like that, but I see more and more that use fancy advertisements, which decrease your trust in those brands/vendors. 

CIO in Services (non-Government)3 years ago

Too much noise and too few actual actionable positives.  Also, far too many steps involved in getting the information that we need out of the numerous streams of incoming information.

CIO in Education3 years ago

There are almost too many of them, a lot of which do very similar things. Sifting through all of the sales rhetoric and being able to find the actual problem or risk that you're trying to address is the biggest frustration with the tools and the process of acquiring/implementing them.

Content you might like

What adjustments are you planning to make to your org’s cyber budget for 2026 (if any)?

Which sectors are more likely to experience a slow down in AI innovation as a result of the developments in AI regulations?

Banking14%

Mining30%

Manufacturing14%

Education25%

Healthcare37%

Construction7%

Transport, FMCG & Logistics12%

Legal Services28%

Insurance Services47%

Accounting & Audit Services18%

Consulting Services28%

Government Services32%

Telecommunications40%

Retail & E-commerce20%

Tourism & Hospitality13%

Marketing2%

Agriculture6%

Energy & Oil23%

ESG9%

Entertainment

View Results

What are the key trends that will headline digital retail and e-commerce in 2024?

In-store experience as a leverage for small players14%

GenAI will drive hyper-personalisation46%

TikTok shop will lift up livestream commerce23%

Immersive digital experiences- AR & VR41%

Advanced payment methods in FinTech27%

Sustainability & re-commerce35%

Data, privacy & AI regulation will slow down innovation23%

Increased spend in platforms & tech16%

AI-led supply chain optimisation17%

View Results

Which tech conference do you intend to attend in person next year or have already participated in this year, and what motivated your choice?

Read More Comments

The use of Generative AI in the textile and industrial sectors — for instance in fashion companies or in the creation of marketing content — carries significant risks if not supported by adequate detection and risk management tools. Generative models may unintentionally incorporate elements protected by intellectual property rights, such as registered styles, patented designs, or content belonging to other fashion houses.

A notable example is the “Studio Ghibli” case, where AI-generated works reproduced distinctive, protected features.

In this context, how should Risk Managers equip themselves to prevent and mitigate such risks, ensuring innovation while avoiding legal violations and reputational damage?