Applied AI for Vulnerability Management

We’re proud to be featured in Software Analyst Cyber Research’s Market Guide 2025: Evolution of Modern Risk and Exposure Management Platforms. Rather than recap the report, here’s how we think about the space and the results customers are reporting with Cogent. 

We Built a Company for Hard Problems

Cogent sits at the intersection of applied AI and cybersecurity. We brought together engineers and operators who have built at places like Tesla, Coinbase, Abnormal Security, and Google AI. We build reliable systems at scale, and that experience led us to use AI as the practical way to solve vulnerability management at enterprise scale.

The Problem in Plain Terms

Vulnerability management spans people, process, and technology. Three aspects drive most of the complexity: scope, sequence, and verification.

• Scope. Data is distributed across many systems and teams, identifiers are inconsistent, and state changes rapidly. The goal is a single, continuously reconciled source of record that enumerates assets, assigns owners, and preserves business context.

• Sequence. Work must be ordered across teams and systems under operational constraints such as maintenance windows, dependencies, and risk tolerance. The goal is a prioritized, owner-specific plan that sequences tasks to maximize risk reduction and minimize disruption.

• Verification. Progress only counts when changes are confirmed on the relevant assets and measured against intended outcomes. The goal is evidence captured at the asset level, linked to owners and time, and retained for audit and program reporting.
  
  
  

What AI-Native Means at Cogent

• Construct the knowledge platform. Build a single source of record through entity resolution. Reconcile duplicates, align names and IDs, and keep context current so decisions and actions refer to the same facts.

• Ground agents in system truth. Agents reason from live data, cite their sources, and attach the evidence they used. Suggestions are traceable, not opaque.

• Role-tuned AI agents. Each agent is built for a specific persona, such as Security, IT, or Application owners. It produces step-by-step plans aligned to that role, with dependencies, impact, and order of operations.

• Keep humans in the loop. People set the guardrails and approve judgment calls. Autonomy is available when granted, with clear scopes, time windows, and rollback paths.

• Operate at scale with strong safeguards. High-volume data processing, reliable execution, and security controls are built in. We isolate data, honor least privilege, encrypt in transit and at rest, and keep complete logs.
  
  
  

From the Report

Cogent-supported customers describe the gap and how they use the platform:

“That’s where Cogent came into play. I’ve got enough tech that tells me what’s wrong. I don’t have enough tech that helps me fix it. We knew we wanted an AI-native platform for this.”

Customer interview, SACR Market Guide 2025

“Any change needs to be tracked and monitored… That’s what Cogent did for us. Cogent was an aggregator of vulnerabilities across our corporate and production environments.”

Customer interview, SACR Market Guide 2025

About Cogent

Most teams can find vulnerabilities. Closing them at scale is where they stall. Cogent pairs industry-leading intelligence with agentic AI to turn context into action, so you reduce risk and hit your SLAs.

Ready to see it in your environment? Book a demo.

For the research context, read SACR’s report. You can also explore more SACR research on their site: softwareanalyst.io.