Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster.

A single day in a modern stack is enough to see the failure modes.

Developers work in a few core loops: writing code, committing changes, installing dependencies, and increasingly working alongside AI in the editor. Aikido Expansion Packs are built around those moments. They let you add focused security capabilities to Aikido that run locally, inside your IDE, and fit naturally into how developers already work. Each pack addresses a specific part of the workflow and does not require new tools, new pipelines, or new processes.

Picture a SOC analyst starting an investigation. A suspicious spike in authentication activity appears on their dashboard, and they need to understand what’s happening quickly. To do that, they move through a familiar sequence of tools. What begins as a single investigation quickly turns into a chain of context switches: That’s nine steps to investigate one event. This isn’t accidental. Security tools have evolved to solve isolated problems, but together they have created fragmentation.

As organizations increasingly leverage Kubernetes for modern, cloud-native applications, the challenge of managing these environments securely and at scale grows. A centralized platform is needed to simplify Kubernetes operations, enabling deployment, management, and security across cloud, on-prem, and edge locations. Crucially, access to these Kubernetes environments, particularly production clusters, demands stringent control.

AI is no longer a fringe productivity experiment inside organisations, it is embedded, habitual, and increasingly invisible. This snapshot from CultureAI’s January usage data highlights how AI is actually being used across everyday workflows, and where risk is forming as a result. Rather than focusing on hypothetical threats or model-level concerns, the findings below surface behavioural signals from real interactions: prompts, file uploads, and context accumulation.

Let’s be honest—when Active Directory is compromised, the incident is never small. Almost every major enterprise breach involves Active Directory at some point. Attackers may enter through phishing, malware, or a misconfigured endpoint, but their real goal is always the same: gain control over privileged identities and Domain Admin accounts. Once that happens, containment becomes difficult and recovery becomes painful. Preventing Active Directory attacks isn’t about adding more tools.

The modern enterprise software ecosystem increasingly relies on desktop AI applications enhanced through extensible plugin or extension frameworks. These extensions are designed to improve productivity by enabling integrations with local files, browsers, APIs, developer tools, and internal systems. However, this same extensibility introduces a high-risk attack surface when extension permissions, sandboxing, and input validation are weakly enforced.

AI agents are moving into real workflows faster than most teams expected. According to PwC’s 2025 AI Agent Survey, 79% of companies are already adopting AI agents, and 88% of executives expect to increase AI-related budgets in the next year. These agents are now handling research, summarization, customer engagement, and operational tasks at a scale humans can’t match.

Ransomware attack groups have ramped up their efforts, launching attacks on the education sector with recent incidents striking a range of targets from an Australian institution of higher learning to a school district in North Carolina. These facilities contain a large amount of very valuable data, such as student records, intellectual property, and financial information that threat groups can leverage for financial gain. An additional reason education is targeted is that it must stay in operation.