Agentic application security for code, cloud, and live applications
Enclave is an agentic application security platform that finds, proves, and helps fix real risk across pull requests, cloud environments, and live applications.
What is agentic application security?
Agentic application security is the practice of using autonomous AI agents to do application security work end to end: investigate code, cloud, and running applications, verify which weaknesses an attacker can actually reach and exploit, prepare fixes, and confirm after deploy that the attack no longer works.
An agentic application security tool does not stop at a list of alerts. Its agents reason about reachability, identity, exposure, and attacker preconditions the way a security researcher would, and carry each confirmed finding through to a verified fix.
Enclave is an agentic application security platform. Its agents work one live model of your environment, in parallel and continuously, from first scan to verified closure. Every merge stays with your engineers.
How Enclave works
Not a pipeline of steps: a fleet of agents working one live model of your environment, from first scan to verified closure.
Live security graph
Repositories, cloud accounts, and existing scanners connect into one graph of components, entry points, trust boundaries, and ownership. Every pull request and infrastructure change updates it. Covers AWS, GCP, and Azure.
Agentic investigations
Agents run code review, SAST, DAST, cloud misconfiguration, secrets, and supply chain analysis, alongside CVEs, pre-CVE advisories, and threat intel.
Verification and triage
Every finding is tested for reachability and exploitability in the live environment, then ranked by KEV status and business impact. What reaches your team is confirmed, prioritized exposure, not a CVSS-sorted list.
Batched remediation
Agents write each fix as a pull request or infrastructure-as-code change, dispatched to the coding agents you already license, and route it to the owner in a plan that closes the most exposure with the least effort. Nothing merges without a human.
Closure verification
After deploy, agents re-run the original attack path. If it still works, the work restarts. If not, the exploit path, the exact change, and the post-deploy retest are logged as an audit trail.
What Enclave's agents do
More solutions
Enclave vs traditional AppSec, SAST and DAST, and AI code review
| Dimension | Traditional AppSec tools | SAST and DAST | Generic AI code review | Enclave |
|---|---|---|---|---|
| What it covers | One layer per tool, results handed to people | Source code patterns (SAST) or a running app from outside (DAST) | The diff in a pull request | Code, cloud, and live applications in one security graph |
| Proof of risk | Findings sorted by CVSS | Flags patterns or responses without the full attack path | Likely issues, not tested | Reachability and exploitability tested in the live environment |
| Fixes | Tickets for someone else | Remediation guidance | Suggested edits on the diff | Pull requests or infrastructure-as-code changes, batched by owner, approved by your engineers |
| After deploy | Wait for the next scan | Wait for the next scan | No follow-up after merge | Re-runs the original attack path and logs the evidence |
Enclave vs traditional AppSec tools
Traditional AppSec tools each cover one layer and hand the results to people. Enclave harnesses the stack you already have, including SAST/SCA, CSPM, vulnerability scanners, ticketing, and pen-test programs, and its agents do the follow-up work: verify, prioritize, fix, and retest.
Enclave vs SAST and DAST
Enclave's agents run SAST and DAST analysis as part of an investigation, then connect each result to code, cloud, and runtime context to check whether an attacker can reach and exploit it. What reaches your team is confirmed exposure, not every pattern match.
Enclave vs generic AI code review
Generic AI code review reads a diff. Enclave reviews pull requests against the surrounding code and dependencies, verifies each concern before it becomes a comment, and keeps working after merge with AI pentesting, CVE research, and closure verification.
All your context, connected.
Code, clouds, clusters, and trackers in one workspace. Enclave deploys as SaaS, in your private VPC (AWS, GCP, or Azure), or fully air-gapped.
- GitHub
- GitLab
- Azure DevOps
- AWS
- Azure
- Google Cloud
- Kubernetes
- Vercel
- Cloudflare
- Tailscale
- SSH
- Jira
- Linear
- Slack
- MCP
Agentic application security FAQ
What is an agentic application security tool?
An agentic application security tool uses autonomous AI agents to carry application security work end to end. Instead of producing a list of alerts, the agents investigate code, cloud, and live applications, verify which issues are reachable and exploitable, prepare fixes for engineers to approve, and retest after deploy. Enclave is an agentic application security platform built this way.
How is Enclave different from scanners?
Scanners match patterns and return a severity-sorted list. Enclave's agents test each finding for reachability and exploitability in your live environment, rank it by KEV status and business impact, and send your team only confirmed, prioritized exposure. Enclave also works with the scanners you already run.
Can Enclave test real attack paths?
Yes. With AI pentesting, agents map your application, attempt real attack paths as real users, and keep the evidence for every one that works. After a fix ships, agents replay the original path to confirm it is closed.
Does Enclave help fix issues, not just find them?
Yes. Agents write each fix as a pull request or infrastructure-as-code change, batch fixes into a plan that closes the most exposure with the least effort, and route each change to its owner. Nothing merges without a human. After deploy, agents re-run the original attack and close the finding only when it fails.
Does Enclave find attack paths across code and cloud?
Yes. Enclave connects repositories and AWS, Azure, and Google Cloud inventory into one live security graph. Agents reason about reachability, identity, exposure, and attacker preconditions across that graph to find attack paths that run from code to cloud, then drive each confirmed path to a fix your team approves.
Can Enclave run in our own VPC or air-gapped?
Yes. Enclave deploys as SaaS, in your private VPC on AWS, Google Cloud, or Azure, or fully air-gapped for regulated and classified environments. You can bring your own model API keys from Anthropic, OpenAI, or Google, or run models through Enclave.
What integrations does Enclave support?
Enclave connects to GitHub, GitLab, and Azure DevOps for code; AWS, Azure, Google Cloud, and Kubernetes for cloud; Jira and Linear for tickets; Slack for chat; and MCP for AI tools. It also connects to Vercel, Cloudflare, Tailscale, and SSH.
Is Enclave built for teams using coding agents?
Yes. Pull request comments include a ready prompt for your coding agent, and fixes can be dispatched to the coding agents you already license. Enclave reviews the pull requests those agents open before merge, and your engineers approve every change.