17 posts
AI pentesting
Disclosure-to-exploit time is now hours, not weeks. Escape Continuous AI Pentesting tests only what each release changes, on every merge, deploy, or schedule. Attack paths are tailored from past reports and with OSCP certifications you can always stay audit-ready.
AI pentesting
Why AI pentesting struggles with consistent vulnerability coverage, why repeated runs don't scale, and how Cascade makes autonomous security testing more reliable.
Security Research
Security teams now use agents for a wide range of work, from finding vulnerabilities in code to investigating and triaging issues. Many of these tasks need complex reasoning and an understanding of how an application works, so the shift makes sense. We're also seeing more security use cases where an LLM may be more than the job needs. Triage is a good example. We ask an LLM whether a finding is a false positive, give it the context it needs, extract its decision as JSON, and use that to trigger
AI pentesting
Scanner with a chatbot A real AI pentest Login Stops at the login page Authenticates and tests behind it Identities Tests as one user Holds several at once Findings A list it never reproduced Every one reproduced before it files
AI pentesting
Starts from Asks You get back External pentest The public internet, no access Can an attacker get in at all A demonstrated way in Internal pentest An assumed foothold How far they get once inside A lateral-movement path Vulnerability scan An asset list you supply Is any known issue present A list of possibilities
Case Study
Amp is building the AI hiring team for frontline employers. Compliance was in the product from day one, which meant a pentest in year one. Here is how they scoped it, ran it in hours with Escape, and made sure they're ready for their SOC 2 Type II audit.
AI pentesting
Continuous penetration testing tools close the gap in coverage left by annual pentests. This guide breaks down the best options, what each tool actually does, and how to choose.
AI pentesting
If you're evaluating AI for offensive security right now, you're weighing two questions at once. The first: why not skip the tooling and point a frontier model at your apps yourself? The second: among the AI pentesting tools you could actually buy, which one earns the budget? We built this benchmark to answer both. Cascade, Escape’s multi-agent AI pentesting engine, went up against a single frontier model (Claude Opus 4.8) driven directly at the same targets. The only variable is the harness ar
AI pentesting
TL;DR We pointed Cascade, Escape's AI pentesting solution, at a single Spring + JSP customer portal. It came back with two findings that are typically difficult for traditional Dynamic Application Security Testing (DAST) scanners to detect: * Unauthenticated RCE via SpEL injection. A ref request parameter was dropped, unsanitized, into a spring:eval expression inside a global JSP template. Because the JSP engine substitutes the value before SpEL parses it, an attacker controls the expression
AI pentesting
Escape CASCADE allows you to run deep, human-grade assessments across your whole attack surface, proves every finding with a working exploit, and gets more expert in your business with every engagement.
Agentic Pentesting
At Escape, we routinely test the AI infrastructure that teams deploy inside their cloud environments. LLM gateways, RAG pipelines, model proxies: these are services that make outbound HTTP requests by design, which makes them natural targets for SSRF. When we looked at LiteLLM, we found three confirmed SSRF sinks, a security gate that was specifically built to prevent this exact bug class, and a bypass that means the gate itself is broken. The organization has confirmed to our research team th
Application Security
We benchmarked 4 AI pentesting tools: Escape, Shannon, Strix, and PentAGI against a modern vulnerable application. Learn more about their detection rates, false positive rates, and scanning speed.
Agentic Pentesting
Escape is the best XBOW alternative for continuous AI pentesting across APIs, web apps, and complex authentication — with regression testing, developer-ready remediation, and platform pricing suited for rapidly scaling orgs.
Application Security
Learn about the key differences between DAST and pentesting, the emerging role of AI pentesting, their roles in security testing, and which is right for your business.
Pentesting
Explore the best Agentic pentesting tools of 2026. Learn how modern pentesting solutions detect business logic flaws and scale continuous security testing, so security teams can replace manual pentests with faster, more accurate coverage.
Pentesting
Explore the best AI pentesting tools in 2026. Learn how modern pentesting solutions detect business logic flaws and scale continuous security testing, so security teams can replace manual pentests with faster, more accurate coverage. Updated: August 2026
