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Evo Continuous Offensive Security

Find What Attackers Find. Before They Find It.

Attackers have moved up the stack, targeting business logic that a traditional scanner can't pattern-match. Evo Continuous Offensive Security delivers pentesting-grade coverage at the speed and scale modern development demands.

Traditional AppSec tools weren’t built for the vulnerabilities attackers exploit today

Business logic can't be pattern-matched

You can't write a regex for "user A shouldn't see user B's invoice." Traditional scanners look for known signatures, but the highest-impact vulnerabilities live in your application's intent, not its syntax.

Agents take real actions

Annual or quarterly engagements cost $20K–$100K+ and take weeks to scope. By the time the report lands, you've shipped multiple releases. The other 363 days a year go untested at the logic layer.

AI systems are nondeterministic

Adversaries are probing application endpoints at an automated, persistent scale. The window to exploitation is forecasted to shrink by half by 2027. Defenders need tooling that can reason, not just scan.

Security teams are looking for solutions that help them prioritize real risk, not just manage more alerts. Snyk’s Continuous Offensive Security gives teams clearer visibility into exploitable vulnerabilities and how they chain together, enabling them to move faster, reduce exposure, and support innovation with confidence.

Colleen Carroll

Senior Director, Information Security Officer, Emburse

Continuously test your AI applications the way attackers do

Evo Continuous Offensive Security uses reasoning-capable AI to stress-test your applications against the vulnerability classes attackers actually exploit BOLA; privilege escalation, authentication bypass, cross-tenant leakage, and chained business logic attacks.

Find what others miss

Reasoning-capable AI surfaces business-logic vulnerabilities, authorization flaws, and chained exploits that traditional scanners can't see. Because Evo runs on the Snyk platform, it already knows what your SAST, SCA, and DAST tools found so offensive testing goes straight to architectural flaws, not bugs your scanners already caught..

Continuous, not point-in-time

Evo runs continuously alongside your development lifecycle, testing every meaningful change. Your testing cadence finally matches the pace of development and the pace of attacker activity. Findings stay relevant to what's in production today, not what shipped last quarter. Drill into any assessment to understand the full scope of findings and what to do about them.

Autonomous at scale

Evo is self-scoping, self-executing, and surfaces findings without manual orchestration. Coverage scales across your entire application portfolio so your security team can focus on remediation and strategy — not scheduling pentests and triaging false positives. 

Map findings to compliance frameworks

Each finding includes reproducible exploit evidence payloads, system responses, and attack chains that help teams validate vulnerabilities and generate defensible evidence for SOC 2, PCI-DSS, ISO 27001, and other frameworks.

From finding to fixing

Every finding flows directly into Snyk's remediation workflow with reproducible exploit evidence and auto-generated fix PRs. Engineering teams get the proof of exploitability they need to prioritize real risk not theoretical severity and ship the fix without leaving their workflow.

Built for the teams securing AI applications

CISOs and Security Leaders

Replace point-in-time assessments with continuous, defensible evidence of how your applications behave under attack. Demonstrate due diligence to auditors and the board without waiting for the next pentest window.

AppSec Teams

Catch the business-logic flaws, BOLA, and chained exploits that traditional DAST and SAST miss continuously, across your full application portfolio, without scheduling overhead.

Platform and AI Eng Teams

Ship faster without breaking trust. Get reproducible exploit evidence that helps engineering understand real risk and prioritize fixes based on actual exploitability — not theoretical severity.