CYBERSECURITYTRACKER
TRACKING7,004 stories in this site build1,474 vulnerability news stories in this site build
Permanent story citation

Snyk unveils continuous AI pentesting and agent red teaming

This page keeps the story as Cybersecurity Tracker first published it. If the tracker later corrects it, the correction appears below the original and never replaces it.

Back to newsStory 3818

As cited

Copy frozen at (site build).

industry

Snyk unveils continuous AI pentesting and agent red teaming

Snyk announced general availability of Evo Continuous Offensive Security, a platform that uses AI-powered autonomous pentesting and red teaming to continuously test applications and identify exploitable vulnerabilities. The tool addresses security challenges introduced by faster software release cycles and broader attack surfaces, including architectural flaws and credential exposure in AI-generated code.

Why it matters: Security teams deploying AI-driven development and rapid release cycles need continuous, automated testing to validate real exploitability before attackers find flaws that reasoning-capable systems can discover.

Source published
First seen by Cybersecurity Tracker

Source attribution

Correction

Correction recorded as of .

industry

Snyk unveils continuous AI pentesting and agent red teaming

No summary had been written when this copy was frozen.

First seen by Cybersecurity Tracker

Source attribution

Correction

Correction recorded as of .

industry

Snyk unveils continuous AI pentesting and agent red teaming

Snyk announced the general availability of Evo Continuous Offensive Security (COS), a platform that delivers continuous artificial intelligence (AI)-powered pentesting and AI agent red teaming. The service provides validated proof of exploitable weaknesses, including architectural flaws and credentials leaked from AI-generated code, to help teams address an expanding attack surface.

Why it matters: Security teams using Snyk or evaluating AI-driven testing can continuously validate applications against real-world exploit paths, enabling faster prioritization of remediation.

Source published
First seen by Cybersecurity Tracker

Source attribution

Glossary