AI Safety
Ensuring AI systems operate reliably and within intended boundaries
Hero Post
By Adesh Gairola
Alignment is a Security Problem, Not an Ethics Problem
Misalignment maps onto vulnerability classes security engineers already operate on: backdoors, defense evasion, privilege escalation, exfiltration. Calling it ethics keeps it off security teams' desks. Reframing it as security decides who owns the work, which budget pays, and which playbook applies.
Featured Posts
By Adesh Gairola
Claude 4.7: Five Layers Blocking Cyber Attacks Before and After
Claude 4.7 doesn't rely on one safety mechanism. It stacks a rulebook, trained refusals, differential capability reduction, two runtime probes, and a live feedback loop. Understanding which layer blocks what matters if you're building on the API.
By Adesh Gairola
The $127M Algorithm: When Smart AI Goes Wrong
When AI appears to think but actually pattern-matches toward desired outcomes, you get sophisticated-looking failure. This fictional crisis demonstrates real research about AI limitations and how to build better systems.
By Adesh Gairola
Claude 4 Risk Assessment - For enterprise deployment
Claude 4 models introduce novel enterprise considerations including high-agency behaviors, self-preservation instincts, and potential consciousness indicators that may require enhanced risk management depending on your deployment context.
