Introducing MCP471 and Agent471: Bringing Intelligence Into the AI Workflows Analysts Use

It's hard turning noisy, incomplete, and fast-changing threat data into timely, prioritized, evidence-backed intelligence that decision-makers can act on.

Security operations and threat intelligence teams are not short on data: threat actor reporting, geopolitics, third-party breaches, malware indicators, exposure findings, credential data and internal security telemetry. What happens between raw data and confident decisions matters more than ever as AI accelerates threats and amplifies an already noisy threat landscape.

Analysts are adopting AI tools and custom automation environments to accelerate research and reporting. But AI tools are only as useful as the quality of intelligence they can access. To do this today, analysts often need to switch tools and manually copy information into prompts as they validate information.

These are the challenges we're addressing with the release of MCP471 and Agent471. The MCP471 server implements Model Context Protocol (MCP), a standard for connecting AI systems to data, allowing customers' AI environments to connect to our premier underground intelligence and tools on the Verity471 cyber intelligence platform. Agent471 is a native AI analyst that brings AI-assisted workflows directly into Verity471 for cyber threat intelligence (CTI) teams who use the platform daily to investigate threats.

Together, MCP471 and Agent471 help customers bring Intel 471 intelligence closer to the point of action: inside the tools, workflows and analyst environments where security teams already operate.

MCP471: Your agentic AI security workflows, our trusted intelligence

MCP471 connects customers' MCP-compatible clients, such as ChatGPT and Claude, to our trusted cyber intelligence data on Verity471.

MCP471 is more than a data connector. Security operations are enhancing traditional operational workflows with an agentic layer on EDR, SIEM and SOAR technologies. Some are building internal analyst workbenches, integrating AI into collaboration platforms, or using orchestration layers that connect models to internal systems.

Instead of requiring analysts to leave their AI environment to manually gather intelligence, MCP471 brings Verity471 intelligence into that environment, providing customers' agentic AI tools with access to their subscription data and reporting. This includes across Verity471’s three modes — Intelligence, Exposure and Hunt — or within a mode like connecting our unique adversary HUMINT insights, finished intelligence, compromised credential sets, Vulnerability Intelligence, real-time malware indicators, and geopolitical intelligence. Your AI-assisted workflows can also investigate Exposure findings from your monitors for external-facing assets, brand and key third parties that are pre-correlated with underground insights. Using new intelligence as a driver, your agents can identify high-priority threat hunts from our library of over 780 behavioral hunt packages prepopulated with rich CTI context. This helps reduce context switching, copy-and-paste workflows and the risk of analysis being performed without access to authoritative intelligence data from Intel 471.

MCP471 is a force multiplier for human analysts. It accelerates the repetitive, time-consuming parts of the work — finding relevant intelligence, enriching signals, summarizing context, and reducing noise — while analysts keep control of the judgment that intelligence work depends on: validating evidence, assessing source reliability, and deciding what to recommend.

For customers, this means our intelligence can become part of broader AI-enabled workflows:

• Faster research — research an actor, check recent reporting, triage indicators, and gauge whether a CVE is drawing underground interest.
• Alert enrichment — enrich an alert, look up IOCs in Verity, and turn raw data into investigative context.
• Proactive hunting — pivot from a new report into a set of relevant behavioral hunts based on an actor, TTPs or MITRE techniques.
• Supplier visibility — check whether a supplier, vendor, domain or exposed asset appears in breach, credential, exposure or threat reporting.
• Situational awareness — a concise summary of what changed in the past 24 hours and why it matters.

Agent471: Your Native AI Analyst on Verity471

Where MCP471 brings our capabilities into customer AI environments, Agent471 brings AI-assisted workflows directly into the Verity471 interface. Agent471 is a conversational agent that reaches Intelligence, Exposure, and Hunt modes. Analysts ask questions in plain English and the agent searches all three modes at once — read-only and filtered to what their subscription entitles them to see — returning a synthesized, cited narrative rather than three separate result sets. Every claim carries an inline citation to the originating Verity471 report, which can be opened in a side-by-side reader panel so analysts can verify sources without switching tabs.

Agent471 Plan Mode

It's not a generic chatbot. Agent471 is designed specifically for CTI work with persistent memory of user context across sessions. It helps preserve the elements that matter in intelligence analysis: evidence, sourcing, confidence, context, collection gaps and recommended pivots for further research. We've built our intelligence analysts' tradecraft into how it reasons and responds, with traceability and auditability at its core. It helps you connect the dots across Verity471's modes, surface what's relevant to your organization, and know what to do next in an attacker's sequence.

For deep-dive work, Plan Mode drafts a Collection Plan and delegates subtasks to parallel subagents. This means analysts can correlate hunt packages, asset exposures, and intelligence reporting in one place without switching modes or contexts. Analysts can use Agent471 to interact with Verity471 finished reporting, malware command-and-control (C2) events and indicators, vulnerability intelligence reporting, breach alerts, underground-source collection, credential data, Exposure findings and the library of behavioral threat hunting packages.

It turns hours of manual pivoting into a focused, guided workflow, so your analysts spend their time on judgment instead of searching and filtering.

Agent471 supports common CTI workflows such as:

• Researching threat actors, aliases, TTPs, infrastructure and affiliations;
• Triaging IOCs across our intelligence domains;
• Assessing CVEs, exploitation status, patch availability and underground interest;
• Analyzing breach activity by victim, sector, region, actor or time period;
• Investigating compromised credentials and credential sets;
• Reviewing Exposure findings and scan data;
• Searching Sources across underground forums, chat messages, private messages and data-leak posts;
• Drafting reports, executive summaries and stakeholder-ready intelligence;
• Building collection plans from broad intelligence requirements.

Skills are built into Agent471 as a native feature. We ship a set of Intel 471 global skills for common workflows and report formats used by our own analysts. Analysts can create and save their own, including by turning a working chat session into a reusable skill. Skills live in a drawer, with a user's own skills on top and our global skills below, alongside a dedicated management page for organizing them. As a deliberate security constraint, the agent can surface and apply skills but cannot enable or edit them on its own.

Over time, Agent471 will continue to evolve with more domain-specific capabilities for intelligence teams — including deeper support for collection planning, citation handling and source evaluation.

Meeting Your Security Workflows

The launch of MCP471 and Agent471 reflects a broader shift in how security teams work with intelligence.

Analysts increasingly expect to interact with data through AI-assisted interfaces. Security teams want intelligence embedded into their workflows, not locked behind manual searches or disconnected tools. Executives want faster answers to urgent questions. SOC teams want enrichment at the point of investigation. Threat hunters want to move quickly from a new intelligence to a behavioral hunt. Risk teams want continuous visibility into supplier exposure. CTI teams want to spend less time collecting and formatting information and more time making analytical judgments for stakeholders.

When intelligence is embedded directly in the tools analysts already use, the benefit isn't just convenience. It becomes speed and capacity. Questions that once took multiple tools and a manual write-up now get answered in one place, which means faster time-to-decision on urgent questions and less analyst time spent assembling context instead of acting on it.

MCP471 and Agent471 address those needs from two directions. What sets both apart is our HUMINT and underground-source depth, pre-exploit vulnerability intelligence, and Admiralty-scale source grading — the trusted, cyber-specific context that generic AI cannot reach on its own.

What's next?

This is also just the starting point. There's more on the roadmap this year as we build out agentic access to Verity471 intelligence — this is the foundation, not the finished product. Coming next:

• Scheduled tasks — recurring jobs you set up in plain language, like a daily intelligence brief or a routine check for threats to your organization.
• Proactive alerts — the agent flags something significant on its own, without waiting to be asked.

If you're a CTI analyst, SOC practitioner, or CISO curious about what this looks like in practice, [visit us at Black Hat / contact your Intel 471 rep / link to sign-up] — we'd rather show you than describe it.