Companies Are Prioritizing Convenience and Speed Over Cloud Security Best Practices
February 15, 2024

"Attackers are leveraging automation to exploit every point of weakness they can uncover," said Crystal Morin, Cybersecurity Strategist at Sysdig, referencing the company's new 2024 Cloud-Native Security and Usage Report. "This year's report shows that many companies are chasing faster innovation at the cost of more comprehensive security — a gamble that poses real business risks."


Report highlights include:

69% of enterprises have yet to embed AI into cloud environments

While 31% of companies have integrated AI frameworks and packages, only 15% of these integrations are used for generative AI tools such as large language models (LLMs). Considering the risk acceptance described in this year's report, organizations are ignoring security best practices, yet they are cautious when it comes to implementing AI into their enterprise environments.

91% of runtime scans fail

In shift-left security, organizations scan early and often during the development phase, recognizing failed builds, correcting the code, and then redeploying. The goal is to catch issues before delivery, and before they become exploitable conditions for attackers. However, with 91% of runtime scans failing, teams appear to be relying more on threat detection than prevention.

Only 2% of granted permissions are being used

Identity management — for both humans and machines — has become the most overlooked cloud attack risk and opportunity for companies to improve their security posture, especially in light of well-known 2023 attacks that took advantage of overly permissive identities. In last year's report, Sysdig saw 90% of permissions going unused, showing that this trend has worsened year over year.

Shorter container lifespans are not stopping attackers

The homogenous nature of cloud environments and attackers' usage of automation for discovery and reconnaissance gives them a near-instant understanding of cloud environments and their opportunities to move laterally. Running vulnerable workloads, no matter how short-lived, leaves organizations at risk for attacks.

"Though I am unsurprised by the apprehension around the security of new technologies like AI, I am disheartened by the massive number of excessive permissions being administered, especially for machine identities. It feels a bit like obsessing over a plane crash while regularly running stop signs with no seatbelt on," said Anna Belak, Director, Office of Cybersecurity Strategy at Sysdig.

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