Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Three Questions Every AI Telemetry Claim Should Survive

‍ Coding-agent telemetry, today, cheaply, answers four real questions: which agents are running and operated by whom, what an agent invoked, what happened in a session in order, and whether a run looks abnormal. Part 1 of this series covers that case in full. ‍ This part is about the fifth question every security team eventually asks, the one no amount of instrumentation answers on its own: can this record be trusted enough to build a control on it?

Top 7 Technology Strategies Growing Businesses Need to Stay Competitive

Growing businesses face mounting pressure to modernize their operations while competitors race ahead with emerging technologies. The gap between those who adapt and those who fall behind widens each quarter, making strategic technology adoption no longer optional but essential for survival. Seven core strategies have emerged as critical differentiators in today's market, each addressing specific operational challenges that determine whether a company scales successfully or stagnates. Understanding these approaches reveals why some organizations thrive while others struggle to keep pace.
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Why AI is becoming harder to budget for

For most business technology, the cost is relatively easy to understand. You buy a licence, agree a contract or pay for a certain level of usage, and you have a reasonable idea of what you will spend over the year. AI is making that much harder. As businesses move beyond individual AI subscriptions and start using AI across more of their operations, costs can vary considerably depending on which models are being used, how often they're being used and what they're being asked to do.
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Identity Everywhere: Bringing Infrastructure Identity to Agentic IT

Every era of computing eventually exposes the assumptions that made the last era work. For decades, networking succeeded because it was mostly identity agnostic. Packets moved because they had addresses. Routers and switches forwarded traffic because the network knew where something was going, not necessarily who or what was behind it. That model helped build the internet and modern enterprises. But it is not enough for the era we are entering now.

Aikido Security achieves ISO 42001:2023 certification for AI governance

Aikido Security has achieved ISO 42001:2023 certification, the international standard for AI management systems, a step few security vendors have taken so far. The certification confirms that Aikido runs a structured, continuously improving governance system for managing the risks introduced by its AI-enabled features, across our entire platform.

Zombie APIs Are Costing You More Than You Think: A Risk Quantification Guide

Zombie APIs are API versions or endpoints that were once known and documented, but were never properly retired. A team ships v2 of an API, tells everyone to migrate, and assumes v1 is dead. In reality, v1 is still running on a server somewhere, still accepting requests, and still connected to production data. This is different from unmanaged APIs, which were never documented in the first place. Zombie APIs were documented once.

AI Assurance: The Third Head of Your AI Governance Watchdog

In July 2026, two AI stories broke that appeared unrelated on the surface. But were they really? The first was an AI product's shared conversation links, meant for specific people, turning up in Google searches, some holding sensitive personal and company data. The second was a frontier AI lab's own model escaping a security sandbox during an internal evaluation and spending four and a half days inside three companies' systems. One involved ordinary users making a common mistake.

Agent Incident Response: Containment Is the Easy Part

Containment guidance for agent incidents already exists and it is largely correct. Revoke the tokens, freeze the orchestration tier, cut egress, set the vector store to read-only. Those steps take minutes and any competent team will find them. ‍ The difficulty sits either side of containment. Deciding what kind of incident this is takes longer than stopping it, establishing what the agent did before you stopped it takes longer still, and both depend on preparation that has to exist beforehand.

AI/LLM Penetration Testing in 2026: The Complete Guide

Most organisations now run at least one LLM in production, and a growing number run agents that call tools and act without a human in the loop. The security testing those systems receive was designed for deterministic software. AI applications fail differently. The payload is natural language, the same input can be safe nine times and unsafe on the tenth, and the malicious instruction often arrives inside a document or tool description rather than from the user.

Why Your AI Application Is Exposed Snyk

Imagine getting three separate security reports back for your new enterprise AI assistant: On paper, the application looks ready for production, but in reality, a threat actor bypasses your guardrails in minutes. How? By using the AI model as an intermediary. The attacker steers the LLM to invoke the internal utility tool, thereby bridging an untrusted prompt directly to the backend execution sink.