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Background for this topic.

Exposure is the condition in which a system, service, credential, vulnerability, or sensitive information is accessible or discoverable by people or systems that should not reach it. In threat modeling, it describes an attack surface or loss of control—not proof that an attacker has succeeded. Examples include an internet-facing administration interface, cloud storage with unintended permissions, a secret committed to source code, or personal data sent to an unintended recipient. Its significance depends on what is exposed, who can reach it, and which protections remain.

The primary defense is exposure reduction: maintain an accurate asset inventory, remove unnecessary public access, enforce least-privilege permissions and strong authentication, patch externally reachable software, and revoke leaked credentials or secrets. Encryption can limit the value of exposed data, but does not correct an exposed access path. Continuous scanning and log review help identify changes and support rapid containment when exposure is discovered.

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The Hacker News 5 months, 3 weeks ago

Exposure Assessment Platforms Signal a Shift in Focus

Gartner® doesn’t create new categories lightly. Generally speaking, a new acronym only emerges when the industry's collective "to-do list" has become mathematically impossible to complete. And so it seems that the introduction of the Exposure Assessment Platforms (EAP) category is a formal admission that traditional Vulnerability Management (VM) is no longer a viable way to secure a modern

Update Chainlit to the latest version ASAP Two "easy-to-exploit" vulnerabilities in the popular open-source AI framework Chainlit put major enterprises' cloud environments at risk of leaking data or even full takeover, according to cyber-threat exposure startup Zafran.…

Leaked API keys are no longer unusual, nor are the breaches that follow. So why are sensitive tokens still being so easily exposed? To find out, Intruder’s research team looked at what traditional vulnerability scanners actually cover and built a new secrets detection method to address gaps in existing approaches.  Applying this at scale by scanning 5 million applications revealed over