Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As development teams adopt generative AI at an unprecedented pace, security teams face an evolving set of challenges in securing the software development life cycle. The increasing speed and scale of code changes make it more difficult for organizations to manage risk effectively. Legacy scanners often fail to keep up, returning slow results and noisy alerts that increase remediation time and leave organizations exposed to potential breaches.

“Tech giants pay hackers millions to hack them – on purpose.” What once sounded like a risky experiment has now become standard practice in cybersecurity. Bug bounty programs have moved from the fringes into the mainstream because traditional defenses alone can’t keep up with today’s scale and sophistication of attacks.

1.8X, that’s how much cloud vulnerabilities have skyrocketed over the past year, fueled not just by attackers but by the routine tweaks teams make every day. Modern vulnerability scanners were built to find everything that looks risky. They just never learned to tell what actually is. Dashboards lit with thousands of “critical” alerts, endless CSVs, and reports that read like alarm bells on repeat. Yet less than 10 percent of those alerts ever lead to a real exploit.

Snyk empowers organizations to build fast and stay secure. As security and engineering teams scale their use of Snyk across the enterprise, understanding what's happening across your group and organizations becomes critical–from API integrations and user access patterns to policy changes and security events. However, raw audit logs alone can be overwhelming and difficult to interpret. Security leaders need instant visibility into critical events, risk patterns, and user activity.