Enclave

Enterprise security teams face an accelerating volume of threats: published CVEs rose 68% from April to July, and attackers increasingly use autonomous AI agents that need no human guidance to find a way in. Defensive teams rely on tools that require constant human attention, such as scanners that surface findings without verifying real-world exploitability or reachability. This leaves gaps like unverified cross-tenant data access, risky infrastructure changes merged without review, vulnerable packages left unpatched because reachability was never assessed, and fixes deployed without confirmation that they actually closed the hole. The text states defense cannot keep up with tools built for human pace.

Enclave deploys specialist AI agents that work in parallel across code review, penetration testing, configuration review, network inventory, CVE monitoring, and intrusion detection, with dedicated Triage agents that reproduce findings and Remediation agents that prepare and test fixes after deployment. Examples on the page show agents confirming cross-tenant data access by replaying requests in an isolated session, flagging a Terraform change that would expose a production snapshot before merge, tracing whether a vulnerable package like Lodash is actually reachable from production, and verifying that a deployed fix blocks a previously exploitable webhook replay. Teams can assign scoped jobs directly in Slack or Teams and review evidence there, and Enclave integrates with existing tools like Wiz, Snyk, AWS Security Hub, Semgrep, Dependabot, and Socket. Customers can choose which models power the agents, including several named frontier and open-weight models, using Enclave's own inference or their own API keys.

The text argues that published CVEs rose 68% from April to July and that autonomous AI agents now attack without human guidance, making automated, continuously verifying defense necessary as manual tools fail to keep pace.