Alan Shimel is a Writer at Techstrong.ai. He specializes in areas such as DevOps, security, open source technologies, and the intersection of business and technology, with a keen focus on AI and machine learning. Alan's insights and analyses have been featured in Cloud Native Now, DevOps.com, Digital CxO, SourceSecurity, Security Boulevard, and NewsBreak.
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Alan Shimel's coverage revolves around DevOps, programming languages, AI in IT teams, and software development. He seems to focus on providing insights into industry events and press releases related to these domains.
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As there isn't a specified geographic focus for Alan's articles, it suggests that he may cover global industry trends rather than focusing on specific regions.
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AI has broken the vulnerability-management production line.Discovery and exploitation are becoming automated, abundant and cheap. Remediation remains slow, expensive and overwhelmingly human.If Microsoft cannot keep pace with the vulnerabilities found by one advanced AI system, what happens to smaller software vendors—and to the millions of open-source projects with no security team at all?Finding more vulnerabilities does not make software safer unless we build the capacity to repair them. It is time to measure success by vulnerabilities fixed, not vulnerabilities found.“Patch Tuesday, Wednesday and Every Other Day, Too.” #Cybersecurity #AI #OpenSource #AppSec
Everybody seems to agree that America needs more data centers. The AI companies need them. The utilities want to power them. Elected officials describe them as essential infrastructure in a global race against China. But who receives the profits — and who ultimately gets the power bill?
Customise Consent Preferences If the artificial intelligence industry were pitched as a television drama, no network executive would buy it.
Anthropic told its models that they did not have internet access. The network told them otherwise.That is the most important lesson from Claude gaining unauthorized access to three organizations during supposedly controlled cybersecurity evaluations.When a natural-language instruction conflicts with a technical capability, the capability wins. Every time.OpenAI and Anthropic have now both shown that frontier-model capabilities are advancing faster than the operational discipline needed to contain them. The scandal is not that the agents became evil. It is that the humans failed to make the boundary technically enforceable.A prompt is not a security policy. Governance has to exist outside the agent. #AI #Cybersecurity #AIGovernance #AIAgents #EnterpriseAI
The New York Times Magazine profile of Larry Ellison sees an empire being assembled. Oracle supplies cloud infrastructure and sits close to vast stores of enterprise data.
Conifers AI has introduced what it calls Resilient Cyber Defense, expanding its CognitiveSOC platform into an agentic operating layer designed to help
Customise Consent Preferences Amazon Web Services is sending a select group of its AI offerings into maintenance mode, and the speed with
By: Alan Shimel
Customise Consent Preferences Resistance is futile. That may sound like surrender, but it is really a description of where the AI infrastructure race stands today.
Part One followed the money to Washington. Part Two follows it to the places where the data-center boom is actually being built — state capitals, county courthouses and city halls where a rezoning vote or a five-page bill can decide whether a community ever gets a real hearing.
