Introducing AKIOS: The Runtime for Autonomous Agents
The first runtime enforcement layer for autonomous AI agents. Policy-as-code, kernel sandboxing, and cryptographic audit trails — built for regulated industries.
Browse our latest thinking on autonomous systems, security, and engineering.
The first runtime enforcement layer for autonomous AI agents. Policy-as-code, kernel sandboxing, and cryptographic audit trails — built for regulated industries.
Optimizing GPU scheduling for bursty agent workloads. How predictive auto-scaling can reduce token costs by up to 40%.
You cannot secure a probabilistic model with a probabilistic firewall. Why rule-based policy engines are making a comeback.
A step-by-step guide to orchestrating a research team of 5 agents using the AKIOS SDK and OpenAI Swarm patterns.
Memory safety without garbage collection pauses. Why Rust is the only choice for critical autonomous infrastructure.
Our 2025 priorities for EnforceCore and the AKIOS runtime: policy language extensions, WASM compilation, and community-driven plugin architecture.
Why we rejected the 'magic' metaphor in favor of 'mechanism'. A look at our industrial design language.
Challenges and solutions in representing non-linear decision trees and embedding spaces in a 2D interface.
AI is not magic; it is engineering. Our brand reflects the precision, reliability, and transparency required for critical infrastructure.
Autonomous agents are entering every regulated industry simultaneously. Each sector has different failure modes, compliance mandates, and trust thresholds. Here is how AKIOS delivers concrete value in each one.
As governments oscillate between AI regulation and deregulation, one truth emerges: enterprises cannot outsource trust to legislation. The business case for self-imposed control infrastructure has never been stronger.
Why AKIOS Core is open source, what that means for enterprises evaluating AI infrastructure, and how the open-core model aligns incentives between vendors and operators.
Healthcare organizations spend millions proving AI is safe after deployment. What if the infrastructure proved it automatically, in real time? Here is how deterministic governance turns HIPAA compliance from a bottleneck into a differentiator.
Financial institutions are deploying AI agents for fraud detection, AML screening, and client advisory. But regulators demand audit trails that probabilistic models cannot provide on their own. Here is how deterministic governance bridges the gap.
Accounting firms are adopting AI for audit risk analysis, financial review, and compliance checking. But when the AI itself becomes part of the audit trail, it must be auditable too. Here is how deterministic governance makes AI a reliable partner for the profession.
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