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LABScon25 Replay | Keynote: Steps to an Ecology of Cyber

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LABScon25 Replay | Keynote: Steps to an Ecology of Cyber

A keynote from SentinelLABS VP Juan Andrés Guerrero-Saade argues that cybersecurity is transitioning from an experimental era toward a more standardized and automated future enabled by large language models. He frames LLMs as a source of cheap, scalable evaluative power that can mechanize routine analysis and reduce dependence on scarce human expertise. The talk advocates for systems where human expertise and AI work together through standardized, automated approaches rather than defending legacy product categories and workflows.

Why it matters: Security leaders and practitioners should understand how LLMs and mechanized intelligence may reshape defensive operations, reduce analysis costs, and change skill requirements as automation becomes embedded rather than bolted onto existing systems.

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LABScon25 Replay | Keynote: Steps to an Ecology of Cyber

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LABScon25 Replay | Keynote: Steps to an Ecology of Cyber

SentinelLABS VP Juan Andrés Guerrero-Saade presented a keynote at LABScon 25 arguing that cybersecurity is transitioning from an experimental era toward a more standardized, automated future enabled by large language models. He characterizes LLMs as a scalable source of evaluative power that can reduce reliance on scarce human expertise for analysis and decision-making. The talk advocates for moving beyond purely adversarial system design toward integrated human and artificial intelligence working together to improve defensive outcomes and sustainability.

Why it matters: Security practitioners and leaders should understand how LLMs may reshape the structure and cost of defensive operations, shifting focus from protecting legacy workflows to building more standardized and automated security infrastructure.

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Correction recorded as of .

ai security

LABScon25 Replay | Keynote: Steps to an Ecology of Cyber

SentinelLABS VP Juan Andrés Guerrero-Saade presented a keynote at LABScon 25 arguing that cybersecurity is transitioning from an experimental era toward a more standardized, automated future enabled by large language models. He characterizes LLMs as a scalable source of evaluative power that can reduce reliance on scarce human expertise for analysis and decision-making. The talk advocates for moving beyond purely adversarial system design toward integrated human and artificial intelligence working together to improve defensive outcomes and sustainability.

Why it matters: Security practitioners and leaders should understand how LLMs may reshape the structure and cost of defensive operations, shifting focus from protecting legacy workflows to building more standardized and automated security infrastructure.

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