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Silobreaker AI Summarisation Tools to Boost Threat Intelligence Workflows

Silobreaker launches customisable AI widgets for threat intelligence dashboards, enabling CTI teams to generate stakeholder-ready summaries and automate intelligence reporting via branded email alerts.

Silobreaker, a threat intelligence platform widely adopted by cybersecurity teams, has launched a suite of AI-powered features aimed at streamlining how cyber threat intelligence (CTI) teams generate and share actionable insights. The newly unveiled AI Summarise functionality enables analysts to create stakeholder-ready intelligence reports from live dashboards and distribute them via branded newsletters—offering a significant leap in efficiency and clarity for security professionals.

The core of the update lies in Silobreaker’s new AI widgets, which allow threat analysts to fine-tune AI summarisation for different audiences and analytical goals. Each widget can extract and condense key threat intelligence trends—such as attacker TTPs (tactics, techniques, and procedures), geopolitical risk indicators, or emerging malware strains—from a dynamic stream of external and internal data.

These widgets are integrated into existing analyst dashboards and can autonomously scan and summarise dozens of documents based on recency or relevance. The result is a dynamic, always-current view of the threat landscape tailored to both technical and non-technical stakeholders.

“Our latest update is designed to help CTI teams bridge the last mile of intelligence production,” said Kristofer Mansson, CEO of Silobreaker. “By combining automation with analyst control, we’re making it easier to scale intelligence reporting without compromising quality.”

Bridging Analyst Workflows with Executive Communication

The AI Summarise release represents a strategic evolution in how AI is deployed in security tooling—not to replace human analysts, but to augment their reach. Each AI widget can be configured to support specific intelligence needs, such as:

  • Translating technical threat data into simplified formats for C-suite stakeholders.
  • Aggregating insights from multilingual global news sources and threat reports.
  • Providing traceable, context-rich summaries backed by curated collections and analyst commentary.

What sets Silobreaker apart is its emphasis on explainable AI. Rather than relying on black-box generative summaries, each AI output remains transparent—grounded in visible source documents and pre-configured filters used by the analyst team. This model offers greater trust and accountability, a growing demand among cybersecurity professionals concerned with AI hallucinations or bias.

“Analysts are facing mounting pressure to deliver more intelligence to more stakeholders—faster and with fewer resources,” Mansson added. “This new feature is about making their work go further.”

Competitive Context and Market Landscape

Silobreaker’s latest move comes as the threat intelligence market experiences rising complexity and data overload. Competitors such as Recorded Future, Anomali, and ThreatConnect have also incorporated AI into their platforms, but the ability to custom-tailor summaries and automatically distribute them as stakeholder-friendly newsletters positions Silobreaker uniquely for communication-heavy security roles.

The emphasis on branding and visual formatting is another subtle but crucial differentiator. The platform allows security teams to send AI-enhanced newsletters complete with logos, headings, charts, and summaries—bridging the technical and strategic gap within large enterprises.

Meanwhile, the integration of Silobreaker’s AI with its core threat analysis engine ensures summaries are not only relevant, but tied to an organization’s specific threat model—whether based on digital assets, vendor exposure, or geopolitical footprint.

A Measured Step Toward AI-Augmented Threat Intel

As enterprise cybersecurity grows more complex—with distributed workforces, third-party risk, and nation-state threats intensifying—Silobreaker’s AI Summarise aims to support rather than replace the analyst. The company’s decision to focus on transparency, traceability, and analyst-first configurations signals a cautious but pragmatic approach to enterprise AI deployment.

In an era where automated reporting can easily go wrong, Silobreaker is betting that a hybrid approach—automation with human control—will win over teams who value accuracy as much as speed.

With AI Summarise, Silobreaker not only enhances analyst productivity but also strengthens the connective tissue between technical insights and executive action. This can be a step forward in making cyber intelligence more accessible, strategic, and impactful.

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