Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Software Composition Analysis (SCA) tools expose the risks in open source dependencies by identifying vulnerabilities, outdated dependencies, and license issues in your codebase. Top solutions include Mend.io (best for automated remediation and proactive SCA), Sonatype Lifecycle (known for enterprise policy management), Snyk (known for developer experience), and Checkmarx SCA (known for comprehensive coverage).

As work becomes more distributed and digital behaviors, both human and non-human, become more complex, organizations need more than activity data; they need context to understand risk, performance, and intent. Behavioral visibility analyzes workforce behavior patterns to detect engagement, sentiment, and insider risk signals. It helps security, IT, HR, and leadership identify emerging risks earlier, reduce false positives, and make more informed, proactive decisions in complex work environments.

When you are in crisis mode, you need less paperwork and more immediate action.

Generative AI–and large language models in particular–reached mass consumer adoption beginning in late 2022 and early 2023, with ChatGPT reaching 100 million users faster than any consumer application in history. Since then, AI has advanced at a breakneck pace and now seems to be incorporated in every tool, app, and website–regardless of how useful it might actually be.

Employees move sensitive data into AI tools every day. Someone pastes customer records into ChatGPT to draft an email. A developer feeds proprietary source code into a coding assistant to fix a bug. A project manager drops a confidential contract into Gemini to summarize it for a meeting. According to research from Cyberhaven Labs, 39.7% of the data employees share with AI tools is sensitive, and enterprise adoption of endpoint-based AI agents grew 276% in the past year alone.

Generative AI creates new attack surfaces that traditional security tools were not designed to address. The biggest generative AI security risks include prompt injection, data leakage, shadow AI, compliance exposure, model poisoning, insecure RAG pipelines, and broken access control. Each one requires a specific defense, not a generic firewall or DLP rule.

The most common first move in a modern cyberattack isn't a zero-day exploit or a piece of custom malware. It's a username and a password. Attackers know that credential theft is the fastest path into an enterprise network. And when an organization implements Single Sign-On (SSO), that path gets shorter. One stolen credential equals access to dozens of applications.

Managing JD Edwards user access by hand quickly becomes a hardship, especially as your team grows and roles shift constantly. You end up with deprovisioning that drags on for weeks, role assignments that don't match job descriptions, and audit trails scattered across emails and spreadsheets. These aren't one-off problems. They happen predictably when manual processes try to handle enterprise-scale demands in a fast-moving business environment.

A strong audit score can feel like a victory. It looks neat, reassuring, and board-friendly. But a high score can also hide the most important question of all: whether the business is actually safer, more resilient, and better prepared when something goes wrong. That gap is where compliance theater lives. It is a polished performance of compliance, but it lacks the underlying strength.

Today, we’re proud to share that Tines has achieved ISO 27001, ISO 27701, and ISO 42001 certification. This marks an important milestone in how we continue to effectively manage information security, privacy, and AI governance across our business and platform. For you, this is about more than achieving the ISO trifecta.