AI CTEM: How Cogent Makes It Practical

Raffay Nadeem, Security Agent Engineer

AI CTEM: How Cogent Makes It Practical

A single, shallow, do-it-all platform is not enough for the changing dynamics of cloud security. Teams need a continuous operating loop that is largely autonomous. Latio’s Cloud Security Market Report 2025 gives this approach a clear name, AI Continuous Threat Exposure Management (AI CTEM), and includes Cogent in a small cohort of AI-native vendors advancing the space.

At Cogent, we built for this need from the start. Finding problems is easy. Finishing the work is hard. Cloud environments change daily, tools produce more findings than any team can triage, and ownership is often unclear. An AI-native approach provides the autonomy required to keep pace. It focuses effort on the few actions that matter now, executes approved changes through agents with guardrails and approvals, and confirms outcomes with evidence. That’s Cogent’s difference, and the reason we were recognized by Latio for our innovation.

Explaining Continuous Threat Exposure Management

Continuous Threat Exposure Management is a repeatable process for managing risk. It runs on a loop and favors finished outcomes over long lists.

Dimension	What it means	Cogent’s difference
See	Up-to-date view of what changed and what could be attacked.	It keeps the picture current without heavy lift. It connects to the tools you already use and brings together ownership and business context so the view is decision ready. It flags meaningful changes as they happen, not at the end of a review cycle.
Decide	A short list of fixes that matter now.	It turns signals into a small set of high-impact actions with clear rationale and expected risk reduction. It explains why each action matters and what it blocks. It makes tradeoffs clear so teams can choose what to do now versus later.
Act	Work routed to the right owners and tools.	It fits into your existing workflows so work gets finished. It uses AI agents with guardrails, approvals, and full auditability to execute approved changes across tickets, cloud, identity, and endpoint systems. It provides clear steps and rollback safeguards so changes land correctly the first time.
Verify	Results verified and proof recorded.	It confirms outcomes and captures evidence automatically. It rolls results into reporting leaders can trust and feeds lessons back into the loop to improve future recommendations.

Then the loop repeats as the environment evolves. It is not another dashboard. It is a steady rhythm that turns change into action and evidence.

Impactful Outcomes

Shorter lists, more finished work. A handful of actions each week, not pages of findings.
Faster cycle time. Clear owners and agent-assisted execution move changes from decision to done.
Verified risk reduction. Evidence shows that the fix worked and where risk went down.
Visibility leaders can trust. Progress rolls into reporting that stands up to scrutiny.

Why the Name Matters

Thank you to Latio for featuring Cogent and for introducing AI CTEM. The term gives buyers and practitioners a shared benchmark for what to expect: an operating loop that stays current, recommends focused actions, and completes approved changes with guardrails, approvals, and auditability. Naming it moves the conversation toward outcomes and sets a clear bar for AI-native execution. We built Cogent to meet that bar.

See It In Action

If you want to see how Cogent applies AI CTEM in your environment, book a demo. We will walk through real examples of how teams cut noise, focus effort, and verify outcomes, week after week.