Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Snyk

Show, Don't Tell: What Evo Continuous Offensive Security Found in a Real Enterprise SaaS

Aug 10, 2026 By Nuno Loureiro In Snyk
Autonomous AI attacks have definitively moved from the research demos everyone's been awed by to standard operating procedure. For anyone paying enough attention, this is not necessarily news: the Five Eyes Alliance warned everyone back in June that AI will bypass cybersecurity in months, not years, with adversary breakout times that can now be measured in seconds. Gartner itself predicted something similar, expecting the window to exploitation to be cut in half as early as next year.
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Snyk

Continuous Offensive Security & AI Pentesting: 20 FAQs

Aug 5, 2026 By Snyk Team In Snyk
Applications can change several times between scheduled security assessments. New features, APIs, and integrations may introduce risk long before the next annual penetration test begins. That gap is pushing offensive testing beyond a single tool or a single point-in-time engagement. Teams are increasingly combining Dynamic Application Security Testing (DAST), AI penetration testing, and AI red teaming to evaluate different layers of application risk.
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Snyk

AI Model Risk Intelligence Know Which Models You Can Trust Before You Deploy

Aug 4, 2026 By Ranko Cupovic In Snyk
When we started thinking about how to surface AI model risk inside Evo, the obvious answer was to borrow from how we score everything else: find the issue, assign a severity, surface it. Done. The core of the new approach is a real risk score, built the way security teams already reason about risk: Likelihood × Impact. Likelihood comes from Attack Success Rate (ASR), the share of real adversarial attacks that succeed against a model. Impact is how much damage the attacker's goal does when it lands.
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Snyk

A First Look at Evo Agentic AppSec: Agentic Remediation and Malicious Code Defense

Aug 4, 2026 By Brendan Hann In Snyk
The Remediation Agent and Malicious Code Defense are the first two pieces of Evo Agentic AppSec: security that not only surfaces risk, but resolves it and prevents the next ones. This morning, we announced the broadest expansion of the Snyk AI Security Platform to date: discover, remediate, validate, and prevent. A loop with a missing segment is not a loop; it is a gap that an autonomous attacker will occupy. Evo Continuous Offensive Security closes validation and shipped today.
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Snyk

Secure at Inception: Announcing the Snyk Studio Integration for Snowflake Cortex Code

Jul 30, 2026 By Snyk Team In Snyk
Building on our initial partnership that brought Snyk’s security intelligence into the Snowflake AI Data Cloud, we are taking the next step in securing the future of data-driven development. This new collaboration integrates Snyk Studio directly with Snowflake Cortex Code, ensuring that as organizations move their application logic to where their data lives, security remains an inherent part of the process rather than a secondary hurdle. Play Video: YouTube video 1.
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Snyk

The Attacker Never Sleeps, Neither Can Your Testing

Jul 30, 2026 By Manoj Nair In Snyk
A few months ago, I wrote that AI is building your attack surface faster than you can test it. I stand by every word I wrote then. But in the months since, after more than a hundred conversations with CISOs, CIOs, and CTOs across nearly every industry and geography, I've watched the picture get sharper, and a lot more urgent. The attack surface was only half the story, because the attacker profile has changed too.
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Snyk

The Generator Can't Be the Validator: What OpenAI's Hugging Face Incident Proves About AI Security

Jul 28, 2026 By Daniel Berman In Snyk
Every so often, an industry gets a moment that quietly redraws where the line is — not because anything was said, but because something was proven. AI security had one of those moments last week, and it's worth being direct about that before getting into the details: this wasn't an incremental data point. It was the moment a risk that security and safety researchers had described in theory for years showed up, fully formed, in a disclosed incident report.
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Snyk

What Is AI Pentesting and How Does It Works?

Jul 27, 2026 By Snyk Team In Snyk
AI pentesting (AI penetration testing) is the use of reasoning-capable AI models to autonomously find, exploit, and validate security vulnerabilities in running applications — especially the context-dependent flaws, such as broken authorization and business-logic abuse, that traditional scanners cannot detect.
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OpenAI's Sol, Terra, Luna Explained: Which One Should You Use?

Jul 20, 2026 By Snyk In Snyk
-OpenAI has completely overhauled its model naming system with the release of GPT-5.6, introducing three distinct tiers: Sol, Terra, and Luna. In this video, we put OpenAI's new flagship model, GPT-5.6 Sol, to the ultimate test. Using the Codex extension in VS Code, we throw our classic "Build me a secure notes app or I get fired" prompt at Sol. Watch as we break down the pricing and reasoning differences of the new tiers, run a full security audit using Snyk, and see if Sol's $5/$30 price tag is truly production-ready or if a small local CSRF bug gets us "fired" first.
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Why You Must Still Review AI Code

Jul 13, 2026 By Snyk In Snyk
In this video, we break down why skipping code reviews is a massive mistake that will ultimately slow you down, leave you vulnerable, and compromise your system's accountability. We dive into three concrete reasons why reviewing AI-generated pull requests actually makes you a faster, safer developer, including a real-world story of a production bug caught in under 90 seconds. Resources Chapters.
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