Cybersecurity Priorities for 2024: A Practitioner's View
Annual planning works best when priorities are tied to execution realities. Here are the cybersecurity bets that should matter most in 2024.
Annual planning works best when priorities are tied to execution realities. Here are the cybersecurity bets that should matter most in 2024.
Most organizations think about negotiation only after encryption starts. The right time to plan is before the first extortion note appears.
NIST CSF 2.0 is close, and the shift toward governance and broader applicability has practical implications for every security program.
Cloud IAM debt accumulates quietly until attackers exploit it. Here is a practical model for reducing permission sprawl safely.
Boards do not need more dashboard noise. They need metrics tied to business decisions, material risk, and response readiness.
SBOMs and provenance frameworks are useful, but only when teams connect them to real build controls and response workflows.
Periodic vulnerability scans miss the assets attackers find first. Continuous attack surface management closes that gap.
Generative AI adoption is outpacing governance. Security leaders need a practical framework before shadow AI becomes the next shadow IT.
Platform engineering gives security teams a new lever: embed controls into the paths developers already want to use.
Derivatives and integrals offer a surprisingly practical lens on the Policy Pyramid, connecting high-level intent to the controls that implement it.
Breaking high-risk activities into smaller, verifiable components lets teams build roads instead of climbing mountains — and makes AppSec compliance continuous rather than ceremonial.
The SEC’s proposed cyber disclosure rules signal a major shift in how public companies must govern incident reporting, risk oversight, and executive accountability.
ITDR has moved from emerging category to operational necessity as attackers increasingly target identity systems, session tokens, and MFA weaknesses.
Generative AI is everywhere in security conversations, but value only comes when teams tie AI use cases to measurable outcomes and operational reality.