Endpoint detection just got an agent version. SentinelOne launched Singularity ADR in early access: it discovers agents across Salesforce, Microsoft, OpenAI and Anthropic, monitors their behavior, and stops them mid-action when they diverge from what they were asked to do.
Source: sentinelone.com/press/sentin…
Britebot audits how your business actually runs, then builds agents and rules into the tools you already use, so you know exactly what they can do before they start. Request an audit: brite.bot/business
Fogsphere announces ARC: a platform that separates what an agent can reason about from what it can actually touch. Policy and hardware enforcement via TPM 2.0 and NVIDIA OpenShell control access to files, networks, credentials and tools.
Source: fogsphere.com/fogsphere-laun…
Knowing which agents are running and what they can reach is where operational control starts. That's the audit we do for businesses. Request yours: brite.bot/business
AWS announced Amazon Quick on October 21, a platform that runs deterministic rules and AI agents in the same workflow. Human-in-the-loop throughout. PwC built on it and cut an IT capability assessment from weeks or months to days.
Source: press.aboutamazon.com/aws/20…
Knowing when to use AI and when to use a rule is where agentic deployments succeed or fail. Britebot helps you map the difference before you build. Request an audit at brite.bot/business
OpenAI launched Presence, a managed platform for deploying governed AI agents in high-volume enterprise workflows. It runs as a managed deployment, in limited GA. Customer support and voice are the first use cases. The model vendor is now also in the operations business.
If you're deciding how much of your agent operations to hand to a vendor, Britebot starts with an audit of how your business actually runs. brite.bot/business
Source: pax8.com/en-us/news-post/pax…
If your team is using AI without a governance policy, the audit is where to start. Request an audit: brite.bot/business
Data443 just published an open-source proxy that evaluates AI agent tool calls against a configured policy set before execution. Four decisions: allow, block, modify, or require approval. P50 8ms enforcement latency. MIT licensed, self-hosted.
Source: Source: data443.com/blog/how-to-add-…
If you're putting AI agents into production, governance in the call path is the part worth getting right from the start. We help teams build it. brite.bot/business
Workday's CTO said it plainly when making its agent platform generally available: "Headless can't mean lawless." Governance ships with the platform, so agents inherit the company's established policies, permissions, and approval rules.
Source: Source: newsroom.workday.com/2026-10…
As building agents becomes table stakes, governing them at scale is the function that determines whether the investment pays off. Britebot builds the Agent Ops function for that: brite.bot/business