March is about exposure. Not the embarrassing kind — the dangerous kind. Before any attacker sends a single phishing email, they already know your org inside out. OSINT, attack surface recon, open data trails.. this month we pull back the curtain on what’s visible, what’s exploitable, and why the scariest hacks start with a Google search.
Phishing is not declining; it is evolving alongside identity sprawl and legacy infrastructure. This closing Decoded article examines why identity drift, fragmented governance, and underfunded awareness programs continue to expose organizations despite modern security tooling.
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A public tender from Sogei seeking COBOL programmers exposes a deeper issue: critical legacy systems still run modern economies. When knowledge disappears and governance lags behind, outdated environments become prime targets for phishing-driven takeovers. The real risk is not COBOL itself, but unmanaged identity and uncurated trust layered on aging infrastructure.
AI agents behave like users but are governed with static credentials and fragmented visibility. A technical analysis of identity drift, phishing risk, and why current IAM models are inadequate.
A backend misconfiguration exposed millions of API keys, session tokens, and user emails in plain sight. What developers missed, attackers found in minutes. This is what happens when novelty outruns fundamentals.
Cybersecurity didn’t fail because attackers evolved faster. It failed because many of our assumptions stopped being questioned. Rethink Month opens with a reflection on trust, habit, and why real security progress starts by challenging what feels “normal.”
Zombie identities are accounts and tokens that simulate real users long after their purpose is gone. This technical deep dive explains how they emerge in code, why they break recovery, and how attackers abuse them.
JWT audience confusion allows valid tokens to be reused across services, breaking identity boundaries without breaking cryptography. A technical, experience-driven analysis of how this happens in real systems.
A personal reflection on social engineering, human behavior, and identity in the age of AI, drawing from real-world experience and behavioral analysis to explain why understanding people still matters more than understanding machines.
