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AISLE (autonomous vulnerability discovery, triage and verified-fix agents) vs Escape (AI pentesting and DAST)

AISLE (autonomous vulnerability discovery, triage and verified-fix agents) (AISLE (Aisle s.r.o. / Aisle Inc.)) and Escape (AI pentesting and DAST) (Escape) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.

Field	AISLE (autonomous vulnerability discovery, triage and verified-fix agents)	Escape (AI pentesting and DAST)
Vendor	AISLE (Aisle s.r.o. / Aisle Inc.)	Escape
HQ	Czech Republic · Europe	France · Europe
Primary category	Code security	Code security
Also listed in	Code security, Security	Code security, Security
Summary	Prague-headquartered AI code-security platform in which thousands of agents analyse a codebase in parallel for exploitable vulnerabilities, fix agents write patches, and agentic verification builds the repo and runs tests before opening a pull request for human merge. October 2026 added agent-driven proof of exploitability against running web apps and APIs. Cohere signed a letter of intent to acquire AISLE on Oct 15, 2026.	Offensive security platform using AI agents for attack surface discovery, business-logic DAST and multi-agent pentesting (Cascade) of APIs and web apps.
Framework tags (Agent Index)	—	—
Frameworks (vendor-claimed)	SOC 2, ISO 27001, ISO 42001 (vendor's own certification)	—
Capabilities / tasks	sast, sca, remediation, pr review, vulnerability management, appsec	appsec, pen test management, attack surface
Pricing (as published)	Not published. Enterprise platform by demo/quote; a no-commitment 'AISLE Snapshot' assessment is offered.	Quote-based
Pricing model	quote	quote
Primary source	https://aisle.com/platform/autonomous-remediation	https://escape.tech/blog/introducing-cascade-the-multi-agent-penetration-testing/
Last checked	2026-10-19	2026-10-18
Official site	https://aisle.com/	https://escape.tech/

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

Also in this use case

Other verified listings that share a task tag or use-case group with AISLE (autonomous vulnerability discovery, triage and verified-fix agents) or Escape (AI pentesting and DAST). Open a pair page or the use-case table — this is not a ranking.

Check Point Agentic Exposure Validation (AEV, AI agents that prove external exploitability) — Part of Check Point Exposure Management, launched May 28, 2026. AI agents reason like attackers across an organisation's external attack surface, correlating exposures, leaked credentials, CVE and live exploit research with existing protection coverage, then safely prove, pivot on, or discard each finding, so teams get evidence of what is actually exploitable.
depthfirst autonomous security agents (code, supply chain, secrets and agentic pentesting) — San Francisco application-security platform whose autonomous AI agents trace business logic and data flows to find exploitable code vulnerabilities, check dependency reachability and secrets, review pull requests with proposed fixes, and run agentic pentests against running applications, re-running each attack after a fix merges to confirm it is closed. · depthfirst autonomous security agents (code, supply chain, secrets and agentic pentesting) pair comparison
Edgescan Atomic (agentic autonomous penetration testing in the Edgescan platform) — Autonomous penetration testing built into the Dublin-based Edgescan platform, launched October 7, 2026. A team of narrow AI agents plans, adapts, chains vulnerabilities and validates real impact on web applications, using Edgescan's existing asset context and findings, while a deterministic 'Harness' enforces scope, permissions, approvals and allowed actions. Findings land alongside Edgescan's DAST, PTaaS and ASM results.
Nullify autonomous product-security agents (find-to-fix with merge-ready PRs and AI Pentest Agent) — Australian 'autonomous system of agents' for product security that covers code, secrets, API pentesting and exploit validation. It proves findings with reproducible evidence, scores them against the customer's assets, writes merge-ready fix PRs routed to code owners, and runs remediation campaigns through Jira and Slack until merge, with the customer keeping final merge approval. · Nullify autonomous product-security agents (find-to-fix with merge-ready PRs and AI Pentest Agent) pair comparison
Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot — Offensive-security vendor from Milpitas, California. Its on-premises, model-agnostic RidgeGen agent does agentic AI red teaming: it reasons through multi-step attack chains to find business-logic and non-CVE risks, verifies every finding with reproducible exploit evidence, gives fix guidance and re-runs to confirm fixes. It sits alongside RidgeBot automated pentesting.

Use-case comparisons

AI code security agents — 28 listings (Application security scanning, suggested or automated code fixes, and pull-request security review)
Agentic pentesting AI agents — 19 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)

AISLE (autonomous vulnerability discovery, triage and verified-fix agents) vs Escape (AI pentesting and DAST)

Also in this use case

Use-case comparisons

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