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Build visual context into AI-assisted security applications

AI can help security teams identify what needs attention and automate more of the analysis. But when people need to understand, verify or act on those outputs, they still need the right context.

Data visualization provides that context.

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Give users the context they need

Cambridge Intelligence SDKs help software teams turn complex cybersecurity data into interactive visualizations that reveal relationships, activity over time and the wider context behind what matters.

Cybersecurity applications can sit on top of enormous networks of identities, assets, vulnerabilities and activity. Users don’t need to see all of it. They need to see the part that matters for the task in front of them.

Visual context can help them understand:

  • Relationships

    Show how identities, devices, vulnerabilities, assets and threats connect.

  • Time

    Understand how activity unfolded and how events relate to one another over time.

  • Impact

    Highlight attack paths, dependencies and the systems or data that could be affected.

From exploring data to explaining what matters

 

Graph visualization has traditionally helped analysts explore complex networks and uncover patterns.

But security workflows are changing.

As AI and automated systems do more of the analysis, visualization increasingly has another role: explaining what has been found and why it matters.

A security graph may contain an enormous amount of relationships, but users don’t need to see the whole network. They need the important waypoints: the vulnerable asset, the attack path, the identity with unexpected access, or the connection that explains why an alert matters.

That is the shift from explore to explain.

See visual context in action

Cloud security

See how misconfigurations can create an attack path through cloud infrastructure, and focus on the relationships that explain where the risk comes from.

Explore the cloud security showcase

Cyber impact analysis

Trace dependencies between connected systems to understand how an incident or change could propagate through a network and what could be affected.

Explore the impact analysis showcase

Cloud monitoring

Combine a view of cloud infrastructure with a timeline of alerts and activity to understand what happened, when it happened and which systems were involved.

Explore the cloud monitoring showcase

Visual context in the age of AI

 

AI can reduce noise, but it can also create a new “wall of text” of summaries, explanations and recommendations.

Visual interfaces can help users understand what an AI system is recommending and why. They can support a human decision before an important action is taken, or provide a visual audit trail when an automated system has already acted.

The goal is to give the right information to the right person at the right time.

Watch the full conversation

As AI takes on more of the analytical work in cybersecurity, visual context helps security teams understand what matters and where human judgement is still needed.

Dan Williams, Chief Product Officer at Cambridge Intelligence, joined EM360’s Security Strategist podcast to discuss the shift from exploration to explanation, the risks of information overload and the role humans still play in AI-driven security decisions.

Build the visual layer of your cybersecurity application

Cambridge Intelligence SDKs give product and engineering teams the tools to build interactive experiences that reveal relationships and activity over time, so users can explore complex data and understand what matters.