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Krish Subramanian
Products & Strategy, Random walker in the technology landscape & future Asteroid farmer
Krish Subramanian is a prominent figure in the technology sector, currently serving as the Cloud Strategy, Global CTO Office, and Head of Products for Platform Services at IBM Consulting. His extensive experience encompasses over two decades in software engineering and product management, where he has played pivotal roles in shaping cloud strategies and product offerings.
Professional Background
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Current Role: At IBM Consulting, Krish leads initiatives related to cloud strategy and oversees product development for platform services. His work focuses on integrating innovative solutions that enhance client experiences and operational efficiencies.
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Previous Experience: Before joining IBM, Krish held various leadership positions in technology firms, contributing to significant advancements in cloud computing and enterprise solutions. His expertise lies in merging technical acumen with strategic business insights to drive organizational growth.
Education and Skills
- Education: Krish holds a degree in Computer Science, which has laid the foundation for his technical proficiency.
- Skills: His skill set includes cloud architecture, product development, strategic planning, and team leadership.
Personal Insights
Krish is known for his commitment to fostering innovation within teams and driving technological advancements that align with market needs. His leadership style emphasizes collaboration and continuous improvement.
For more detailed information about his professional journey, you can view his LinkedIn profile under the username krishnansubramanian .1
Highlights
Move Over Deepfakes
Researchers from UBC, SINTEF, and City University of London published a policy forum paper in Science describing how coordinated AI agent swarms can infiltrate online communities and create the illusion of widespread public agreement. Not fake content. Fake agreement.
The distinction matters. Deepfakes create false information. Synthetic consensus creates the false impression that real people agree on something. Each individual message in a swarm can be perfectly reasonable. The manipulation is in the coordination pattern, not the content. That makes it fundamentally harder to detect.
These are not traditional botnets posting the same message. They are AI agents that adapt their language to match local community norms, run millions of experiments to find what messaging gets engagement, and coordinate in real time to sustain consistent narratives across thousands of accounts.
This is the information-domain equivalent of what Mythos does in cybersecurity. Mythos finds vulnerabilities faster than defenders can patch them. AI swarms create synthetic consensus faster than platforms can detect it. Same structural asymmetry: offensive AI capabilities outpacing defensive countermeasures.
Social platforms are built to detect spam, not to detect sophisticated multi-agent coordination that mimics organic behavior. The gap between what this research describes and what platforms can actually detect is the space where the threat lives. The authors recommend monitoring coordination patterns rather than content. That is technically sound and operationally very hard at scale. Nobody has solved this yet. The tools to create synthetic consensus are available now. The tools to detect it are not.

Docker launched Sandbox for vibe coding. One additional layer of security if you want to be careful https://t.co/v12KRkRxuN
