Unnecessary complexity makes products hard to maintain and hard to secure. Modern apps such as Cloudflare's EmDash and Tailscale show that designing for simplicity produces stronger security as a side effect.
L
lennyzeltser@infosec.exchange
@lennyzeltser@infosec.exchange
Posts
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Unnecessary complexity makes products hard to maintain and hard to secure. -
An AIUC-1 report, from a new certification framework, offers useful evidence of agent-specific testing, but it doesn't define "AI agent."An AIUC-1 report, from a new certification framework, offers useful evidence of agent-specific testing, but it doesn't define "AI agent." Both the buyer and the vendor have to carefully consider the scope of an audit.
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AI is making commodity software nearly free to produce, exposing security vendors without real moats.AI is making commodity software nearly free to produce, exposing security vendors without real moats. Feature lists stopped being a reliable signal of which products will hold their position as commoditization sorts the market. If you were anxious about "SaaSpocalypse," here's a practical way to understand and handle it:
A seven-dimension rubric from Ben Vierck scores software products from 1 to 3 across each dimension. Three cybersecurity-specific dynamics raise scores for products with compounding defensibility. For example, an EDR platform with a shared data layer can score 20 out of 21 because its dimensions reinforce each other. Enterprise buyers generate telemetry that sharpens detection, which strengthens the compliance posture that attracts the next buyer.
Product managers and founders can apply the rubric to their own product, while buyers can apply it to their vendor shortlist. A low score names a dimension that needs investment, or a vendor likely to be bundled, absorbed, or replaced. Running the exercise honestly identifies the gaps worth examining.
Scoring Your Security Product Strategy in the AI Era
AI has made commodity software easy to produce, leaving traditional SaaS exposed. Applied to cybersecurity, a seven-dimension rubric scores security product strategies to help leaders identify weaknesses and strengths.
Lenny Zeltser (zeltser.com)
#cybersecurity #infosec #productmanagement #AI #securityleadership
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Now you can receive my blog posts via email.Now you can receive my blog posts via email. Go ahead and sign up: https://zeltser.com/newsletter
I've enjoyed writing more frequently and deeply than I have in recent years, and I'm glad to have more ways to get those articles in front of readers who want them.
All of my posts will continue to reside on my site, but I want to make it easy for people to read them in a way that works for them, whether on social media, in their RSS reader, or in their email inbox.
I decided to maintain my own website and newsletter platform rather than using services such as Medium and Substack so I can shape the reading experience and keep it free of paywalls and ads.
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When designing security products, how to best accommodate human and AI user personas?When designing security products, how to best accommodate human and AI user personas? Now's the time for product builders to adjust their approach:
Designing Security Products for Humans and AI Agents
AI agents are quickly joining humans as personas that use enterprise security products. Vendors who understand how to support all their users, from analysts to agents, will build products that fit how teams actually work.
Lenny Zeltser (zeltser.com)