Home
Loading

aVenture is in Alpha: During this preview period, you should expect the research data to be limited and may not yet meet our exacting standards. We've made the decision to provide early access to our data to showcase the product as we build, but you should not yet rely upon it alone for your investment decisions.

aVenture is in Alpha: During this preview period, you should expect the research data to be limited and may not yet meet our exacting standards. We've made the decision to provide early access to our data to showcase the product as we build, but you should not yet rely upon it alone for your investment decisions.

Get in touch

  • Contact

  • Request a demo

  • Request data updates

  • Add a company

Research

  • Companies

  • Investors

  • People

aVenture

  • Sitemap

  • Feature requests

Member

Backed by

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy Policy

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
3 key metrics for cybersecurity product managers

From TechCrunch

By Walter Thompson

May 10, 2023

3 key metrics for cybersecurity product managers

n
n
n Ross Haleliukn Contributorn
nn
n n n
n
nn
n Ross Haleliuk is an investor and head of product at LimaCharlie.io.
n n
n More posts by this contributorn
  • 6 common challenges facing cybersecurity teams and how to overcome them
  • n
  • Time to trust: Questions cybersecurity customers ask and how to answer them
  • n
n

The conventional product management wisdom suggests that one of the responsibilities of a product leader is to track and optimize metrics — quantitative measurements that reflect how people benefit from a specific solution. Anyone who has read product management books, attended workshops or even simply gone through an interview, knows that what is not measured cannot be managed.

The practice of product management is, however, much more nuanced. Context matters a lot, and the realities of different organizations, geographies, cultures and market segments heavily influence what can be measured and what actions can be taken based on these observations. In this article, I am looking at cybersecurity product management and how metrics product leaders are tempted to track and report on may not be what they seem.

Detection accuracy

Although not all cybersecurity products are designed to generate some kind of detections, many do. Detection accuracy is a metric that applies to the security tooling that does trigger alerts notifying users that a specific behavior has been detected.

Two types of metrics are useful to track in the context of detection accuracy:

  • False positives (a false alarm, when the tool triggers a detection on normal behavior).
  • False negatives (a missed attack, when the tool misidentifies an attack as normal behavior and does not trigger a detection).

Security vendors are faced with a serious, and I dare to say, an impossible-to-win challenge: how to reduce the number of false positives and false negatives and bring them as close to zero as possible.

The reason it is impossible to accomplish this is that every customer’s environment is unique and applying generic detection logic across all organizations will inevitably lead to gaps in security coverage.

Product leaders need to keep in mind that false positives make it more likely that a real, critical detection will be missed, while false negatives mean that the product is not doing the job the tool was bought to do.

Conversion rate

Conversion rate is one of the most important metrics companies, and subsequently — product teams, obsess about. This metric tracks the percentage of all users or visitors who take a desired action.

Who owns conversions in the organization will depend upon who can influence the outcome. For example:

  • If the product is fully sales-led and whether the deal gets closed is in the hands of sales, then conversion is owned by sales.
  • If the product is fully product-led and whether a free user becomes a paying customer is in the hands of product, then conversion is owned by marketing and product teams (marketing owns the sign-up on the website, product owns in-app conversion).

    3 key metrics for cybersecurity product managers by Walter Thompso originally published on TechCrunch

Most Recent

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

Jul 22, 2026

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch.

Jul 22, 2026

Cascade raises $3.5M to help construction firms find and win projects

Cascade raises $3.5M to help construction firms find and win projects

a16z Speedrun, Ada Ventures, and Snowball VC have invested in Cascade's $3.5 million seed round.

Jul 22, 2026

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

Jul 22, 2026

Similar Posts

No similar posts found for this article.

Most Recent

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

Jul 22, 2026

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch.

Jul 22, 2026

Cascade raises $3.5M to help construction firms find and win projects

Cascade raises $3.5M to help construction firms find and win projects

a16z Speedrun, Ada Ventures, and Snowball VC have invested in Cascade's $3.5 million seed round.

Jul 22, 2026

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

Jul 22, 2026

Similar Posts

No similar posts found for this article.