Tooling9d ago
Replit launches Replit for Business, pitching an "Agent Habitat" where agents work inside company permissions, approvals and audit logs
In an Oct 26 post on Replit's blog, "The Rise of the Self-Driving Company," CEO Amjad Masad introduced Replit for Business. Its central idea is an Agent Habitat: a company-controlled environment where agents use the company's knowledge and systems and coordinate with people and other agents, while the company decides what they can access, when human approval is required, and how far mistakes can spread. The enterprise page lists SSO, SCIM, role-based access, bring-your-own-cloud, audit logs, isolated execution, security scanning, model controls and 510+ connectors. Masad says Replit engineers nearly tripled code output in the first half of 2026 while review times, reversions and incidents stayed flat (vendor figures).
Agents29d ago
UndoBench: Decoupling Nominal Task Competence from Fault Recovery in Tool-Using AI Agents via Counterfactual Mutation Paired Trials
Tool-using AI agents are rapidly assuming mission-critical automation responsibilities across enterprise software ecosystems. However, standard agent benchmarks focus exclusively on nominal, forward task completion—conflating initial planning competency with operational resilience and fault recovery. In real-world enterprise environments where network drops, idempotency failures, and partial commits are commonplace, unguided LLM retries routinely cause devastating side effects such as duplicate payments or corrupted databases. Researchers introduce UndoBench (arXiv:2610.05622), a comprehensive evaluation suite spanning 36 enterprise workflows and 36 production fault scenarios across 8 enterprise verticals. Utilizing counterfactual paired trials alongside wire-level effect-history and state oracles, UndoBench decouples task competence from recovery capability. Experiments reveal a severe vulnerability gap: while nominal task competence achieves 83.54%, conditional recovery success rates (CRSR) collapse to 46.72%, with naive retry producing duplicated external mutations in 53.33% of trials. The code is available at GitHub (tradertanmay/undobench).
Agents48d ago
Comp AI Secures M Series A to Deploy Autonomous Security & Compliance Agents
Compliance automation startup Comp AI raised million in Series A funding to scale its autonomous security agents. The agents run continuous 24/7 audits across cloud environments, code repos, and IAM policies to generate SOC 2 and ISO 27001 reports autonomously.
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