Conveyor, the market leader in AI accuracy, has officially announced the general availability of a new AI Agent named Sue, who has been programmed to optimize the entire security review workflow: right from sharing security documents and answering questionnaires, to updating systems and collaborating with teams autonomously.
To understand the significance of such a development, though, we must acknowledge that, even though the recent past has seen a flurry of AI agents, many are just deemed to be nothing more than glorified co-pilots. As for the remaining ones, they have been discovered to be LLMs masquerading as Agents.
In contrast, Conveyor brings forth a refreshed focus on AI accuracy, precision, and real-world testing of each nuanced security review process. This, in turn, births one real, in-production AI Agent who can independently deliver outcomes, with humans firmly in control for auditing, escalation, and performance monitoring.
More on that would reveal how Sue also explicitly cites her work, enabling trust and rapid adoption among security teams within Fortune 1000 companies. In fact, those who are already working alongside the given AI agent have been largely successful in transforming business-critical tasks, previously known for taking 2-4 weeks and multiple employees’ time, into a near-instant turnaround.
“AI accuracy is the foundation of true automation—without it, you’re just creating more work for humans,” said Chas Ballew, CEO of Conveyor. “While others are still struggling to get basic AI responses right, we spent two years perfecting accuracy, achieving 95%+ accurate answers on the first pass and enabling us to be the first to fully automate security reviews with an AI Agent.”
Talk about the whole value proposition on a slightly deeper level, we begin from the point of accuracy. In essence, Sue arrives on the scene bearing an ability to offer seasoned expertise with receipts. Boasting market-leading 95%+ accuracy, she can effectively optimize the entire security review workflow, while simultaneously self-maintaining knowledge (across past answers, documents, external sites, internal wikis, a Q&A database, and integrations like Google Drive, Confluence, or Notion).
Next up, there is the autonomy aspect. This translates to how Sue autonomously notifies, follows up with other team members, and logs changes (in CRM, Ticketing). Such a cutting-edge mechanism treads up a long distance to set her apart as a true AI Agent.
Complementing that would be her unique ability to plan, research, act, and critique work, something which Sue to drastically simplify complex processes, thus continually improving as she goes.
Another detail worth a mention is rooted in the agent’s efficiency, considering Sue can manage one-click NDA-gated access to key security documents and sensitive information. It is also well-equipped to instigate an estimated 80% reduction in questionnaires and 75% faster overall turnaround time, freeing up teams to drive business impact.
Not just that, thanks to Sue, security teams can now seamlessly focus on face-to-face meetings, as well as regulatory and/or compliance programs and certifications, to open up new market segments and drive strategic initiatives.
