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SnykIn development

Snyk unveils continuous AI pentesting and agent red teaming

What happened

Snyk is previewing its Evo Agentic AppSec, featuring a remediation agent that automatically fixes vulnerabilities.

Source

Article excerpt

Snyk has announced the general availability of Evo Continuous Offensive Security (COS), enabling security teams to continuously test applications with autonomous, AI-powered pentesting and AI agent red teaming while providing validated proof of what attackers could actually exploit. AI is accelerating software release cycles while rapidly expanding the exposed attack surface, which now spans architectural flaws only reasoning-capable systems can find, credentials leaking out of AI-generated code and the models and agents now embedded directly in the development lifecycle. Attackers are now going after every layer at once: low-priority legacy bugs that were never fixed, new code being written and the applications agents run in production. Snyk’s latest research into enterprise AI adoption shows agentic development accelerating faster than security programs can track it. The Five Eyes alliance warned in June that AI will bypass cybersecurity in months, not years, with adversary breakout time now measured in seconds, and Gartner forecasts the window to exploitation will be halved by 2027. Closing that gap requires four key actions: discovering the full attack surface, remediating the backlog, validating what’s actually exploitable, and preventing what comes next. The Snyk AI Security Platform expansion delivers on all four: Scanners find bugs. Pentesters find flaws. That...

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Extracted from this sentence

Remediate: Evo Agentic AppSec, a first look at what’s next: Snyk’s vision for autonomous application security, anchored by the public preview of the remediation agent via command line interface (CLI) or agentic development environment (ADE), which fixes vulnerabilities automatically, plus a first look at a new malicious code defense solution, which protects against supply chain attacks.

Extracted by Autobound

From the Signal API record
Event
In development

What this signalsWork in development often leads to new buying for tools, data and services.

Product
Evo Agentic AppSec

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The full record

From the Signal API record

Topics and mentions

Product tags

  • security
  • future tech
  • general technology

Extraction

Confidence
90%
Detected
Aug 4, 2026
signal_type
news
signal_subtype
is_developing

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The API returns more than this page shows

This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/24710065-97b4-832d-1790-fd0f36a4ca93 returns this record as JSON. POST /v1/companies/enrich returns every signal for snyk.io.

{
  "signal_id": "24710065-97b4-832d-1790-fd0f36a4ca93",
  "signal_type": "news",
  "signal_subtype": "is_developing",
  "detected_at": "2026-08-04T13:15:51+00:00",
  "company": {
    "name": "Snyk",
    "domain": "snyk.io"
  },
  "data": {
    "url": "https://www.helpnetsecurity.com/2026/08/04/snyk-evo-continuous-offensive-security-cos/",
    "title": "Snyk unveils continuous AI pentesting and agent red teaming - Help Net Security",
    "excerpt": "Snyk has announced the general availability of Evo Continuous Offensive Security (COS), enabling security teams to continuously test applications with autonomous, AI-powered pentesting and AI agent red teaming while providing validated proof of what attackers could actually exploit. AI is accelerating software release cycles while rapidly expanding the exposed attack surface, which now spans architectural flaws only reasoning-capable systems can find, credentials leaking out of AI-generated code and the models and agents now embedded directly in the development lifecycle. Attackers are now going after every layer at once: low-priority legacy bugs that were never fixed, new code being written and the applications agents run in production. Snyk’s latest research into enterprise AI adoption shows agentic development accelerating faster than security programs can track it. The Five Eyes alliance warned in June that AI will bypass cybersecurity in months, not years, with adversary breakout time now measured in seconds, and Gartner forecasts the window to exploitation will be halved by 2027. Closing that gap requires four key actions: discovering the full attack surface, remediating the backlog, validating what’s actually exploitable, and preventing what comes next. The Snyk AI Security Platform expansion delivers on all four: Scanners find bugs. Pentesters find flaws. That...",
    "product": "Evo Agentic AppSec",
    "summary": "Snyk is previewing its Evo Agentic AppSec, featuring a remediation agent that automatically fixes vulnerabilities.",
    "planning": true,
    "image_url": "https://img.helpnetsecurity.com/wp-content/uploads/2023/06/25143233/cyber-threat2.jpg",
    "confidence": 0.9,
    "product_data": {
      "name": "Evo Agentic AppSec",
      "full_text": "Evo Agentic AppSec",
      "fuzzy_match": false
    },
    "product_tags": [
      "security",
      "future_tech",
      "general_technology"
    ],
    "published_at": "2026-08-04T13:15:51Z",
    "article_sentence": "Remediate: Evo Agentic AppSec, a first look at what’s next: Snyk’s vision for autonomous application security, anchored by the public preview of the remediation agent via command line interface (CLI) or agentic development environment (ADE), which fixes vulnerabilities automatically, plus a first look at a new malicious code defense solution, which protects against supply chain attacks."
  }
}

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