TechCrunch
OCTOBER 25, 2022
Will your organization and your code pass technical due diligence when it’s your turn? Let’s start with the positives: If an investor is proceeding with technical due diligence (TDD), you’ll likely pass. Poor codebase health is more often than not “caused” by other teams rather than by engineering.
N2Growth Blog
NOVEMBER 5, 2024
Evaluating founding and leadership teams of portfolio companies and acquisition targets has become crucial for investment and operating partners. As businesses grow and adapt to shifting market demands, the strength of the leadership team often dictates a company’s ability to scale and succeed.
TechCrunch
JULY 8, 2022
But when it comes to assessing investment opportunities, few venture and growth equity investors have the resources to conduct thorough technical diligence. They often outsource this critical work to a consultant for more of a high-level overview, because technical diligence is often a blind spot for investors.
CIO
APRIL 2, 2025
In addition, CrowdStrike hired two independent software security vendors to review the Falcon sensor code, its quality control, and release processes, and also changed how its updates are released: more gradually, to increasing rings of deployment, says Adam Meyers, CrowdStrikes SVP for counter adversary operations. Trust, but verify.
CIO
NOVEMBER 27, 2024
From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. This is where Operational AI comes into play.
CIO
OCTOBER 24, 2024
As organizations rush to spin up AI projects, many IT professionals aren’t sold on the value of these early efforts. To be fair, just over half of IT pros say their organizations’ AI projects are strategically important. Nagaswamy has witnessed several organizations launching AI projects simply to impress board members or investors.
Palo Alto Networks
JANUARY 3, 2024
Large language models (LLMs) trained on massive data sets will help organizations work smarter and faster with fewer people. As we’ll see in the coming months, the rapid rate of tool development and adoption will (in some organizations) outpace due diligence, exposing them to unanticipated risks and unintended consequences.
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