New features bring radical transparency and real-time reporting to cybersecurity teams.
As the cybersecurity landscape continues to get more complex, Bricklayer AI, the Agentic Cybersecurity Platform, today has released two game-changing new features designed to give security leaders full transparency into how their AI Agents operate and make decisions in complex, dynamic environments: Agent Debrief & Source Citations.
Agent Debrief: Every Outcome, Explained Simply
Security environments are constantly changing, which means any AI we implement must adapt with it. Bricklayer AI Agents already adjust their procedures at runtime based on real-time context from a customer’s specific environment.
Now, every Agent outcome includes an automatically generated Agent Debrief: a clear, single-page, multi-card summary that includes what a human needs to know – but nothing else.
Analysts no longer need to sift through hundreds of log lines, relationships, and fields. The outcome distills everything down to what the Agent believes is most relevant to make a decision or take action. This may include things like attack timelines, text-based reporting, data visualizations, code snippets, related events, and much more.
Unlike static dashboards, which depend on predefined filters and assumptions, Agent Debriefs are dynamically built at runtime by the Agents themselves – tailored to each procedure type and even the unique data within it. The result is a purpose-built, human-consumable report ready for analysts and executives alike.
Agent Source Citations: Build Trust Through Traceability
With Agent Source Citations, users can now see the exact snippets of information that informed the Agent’s decisions – highlighted, referenced, and clickable back to the original document.
This is a step beyond basic sources listed. It’s specific citations, linked back to the source data in one click. Unlike other AI tools, your human team will never have to guess how Bricklayer AI Agents interpreted a document – they can see precisely what was read and why it mattered. And, they can use it in their own reporting to stakeholders and executives.
AI-first cybersecurity teams need more than just tasks checked off of a list. They need full transparency into everything that happened, why decisions were made, and where context came from. With this release, Bricklayer AI is now one step closer to completing our mission: building AI agents not just to act, but to explain, justify, and earn your trust.
