
Mapping the Agent Before Anyone Attacks It
45 minutes
A reference operations agent on Google Cloud, threat-modelled against OWASP and MITRE ATLAS, with a first control: a deny-by-default policy …

Andrew Stevens is an executive leader, investor, and technology strategist focused on the intersection of cloud, data, AI, and security. He has helped scale technology ventures from early traction to acquisition, working across fintech, media, gaming, and AI-driven businesses in both European and U.S. markets.
Known for bringing clarity to complex technology shifts, Andrew helps founders, operators, and executive teams turn emerging capabilities into practical advantage. His work focuses on AI strategy, resilient infrastructure, governance, and the operating models required to scale modern technology businesses with confidence.

45 minutes
A reference operations agent on Google Cloud, threat-modelled against OWASP and MITRE ATLAS, with a first control: a deny-by-default policy …

7 minutes
Sakura Sky is now an UpCloud partner. Here is what European sovereign cloud on UpCloud brings our customers, and the services we are …

18 minutes
A 150-billion-parameter mixture-of-experts model streamed from NVMe on an ordinary developer laptop with no usable GPU. Across a 200-token …

11 minutes
Some models bill the whole request at a higher rate above a size threshold. What that does to a spend cap, and what changed in Tollgate …

16 minutes
gate-fuzz v1.0.0 emits an artefact filed under Check15 that does not close Check15. Working out why is a useful way into which conformance …

7 minutes
Tollgate is an open-source AI gateway and spend-control proxy. It prices every LLM request by token, reserves budget before the call, and …

10 minutes
A preview of the next GATE release: a per-control ISO/IEC 42001 mapping with the asymmetry written down, streaming-aware output validation, …

16 minutes
A text-to-SQL agent's system prompt cannot enforce a data rule. sql-guard v0.2.0 puts the rule in a parser instead, and closes eight …

10 minutes
GATE v1.4 adds C20 output validation at the delivery boundary, formalises break-glass as a signed contract, adds informative mappings to …

11 minutes
The UK Cyber Security and Resilience Bill and NIS2 both regulate managed service providers directly, wherever they are established. Seven …

7 minutes
Two weeks ago I argued that your ontology is the asset and you should own it in a neutral, versioned form. Arguing is cheap. Arkhe v0.2 is …

10 minutes
Agentic AI post-mortems keep naming the same trio: determinism failures, hallucinations, and compliance gaps. An ontology retires all three, …

8 minutes
RFC 10008 gives HTTP a method that is safe, idempotent, and carries a request body. It ends a design argument I have been having in API …

11 minutes
Why the next era of GDPR, AI Act, and MiCA readiness is engineered, not documented. Praxis wires controls into live systems and produces …

6 minutes
The UN's first scientific assessment of AI says safety assurance still runs on developer goodwill, not verification. Here is what …

25 minutes
A review of Google's multi-tenant agentic AI reference architecture stage by stage, naming trade-offs at each decision point and filling the …

6 minutes
A preview of the next GATE release: output validation, break-glass formalisation, OWASP AISVS and MITRE ATLAS alignment, a Rust library, and …

11 minutes
A production-grade reference architecture translating the GATE specification into a live runtime, using Apigee, Envoy Proxy, and …

8 minutes
The gate-conformance v1.2.0 runner automates 9 of GATE's 19 checks against a live evidence store. The other 10 return PARTIAL: not failure, …

4 minutes
GATE v1.3 adds three new controls and a CLI conformance runner to the Governed Agent Trust Environment, closing three assumptions that …

10 minutes
Think your AI agent escaped the EU AI Act's high-risk classification? The Cyber Resilience Act lands more than a year earlier, and it …

10 minutes
How to turn the EU AI Act's stringent cybersecurity requirements into a clean, automated side effect of your existing platform engineering …

13 minutes
The EU AI Act binds providers and deployers to a continuous, evidenced verification posture by December 2027. Here is the operational …

10 minutes
The capital deployment decisions boards make this year will determine whether their autonomous AI systems are governable assets or …

11 minutes
AISVS tells you what to verify. The AI Act tells you that you must. Neither tells you how to enforce. This is the engineering map between …

9 minutes
The Foundation's new strategic plan is not a community update. It commits OWASP to setting the technical floor for AI security, …

11 minutes
The series finale. Across four posts, we identified three machine-speed problems - discovery, intelligence, identity - that share the same …

13 minutes
Non-human identities now outnumber humans by 40:1, 100:1, and in hyper-automated environments by 500:1. When AI agents do 80–90% of an …

11 minutes
Anthropic's $100M Project Glasswing is the first attempt to flip the economics of AI-driven vulnerability research before offensive …

19 minutes
AI-driven discovery has lowered the cost of finding bugs by an order of magnitude. The cost of proving which ones are actually exploitable …

7 minutes
Claude Mythos surfaced 271 vulnerabilities in a single Firefox evaluation pass. The number isn't the story - the collapse in the cost of …

10 minutes
The four pillars of the autonomous enterprise describe the operating model. GATE names the framework that makes it engineerable.

6 minutes
Prompt guardrails are not governance. When AI agents can take real-world actions at machine speed, you need deterministic enforcement at the …

11 minutes
Intelligence, data, and control only create advantage when the process layer can keep up. Adaptive workflows are where autonomy becomes …

12 minutes
As enterprises move to machine-speed execution, governance has to move with them. That means embedding control into the operating fabric …

10 minutes
Autonomy depends on data the enterprise can act on. The clean data core is what turns trusted context into operational execution.

10 minutes
Agentic AI marks the shift from assistive tools to execution systems, but only when supported by trusted data, governance, and secure …

8 minutes
Digital transformation made the enterprise modern. The next step is building one that can sense, decide, and act with speed, precision, and …

5 minutes
Bringing together all 16 primitives into a single, coherent architecture. The capstone: Operational Risk Modeling.

8 minutes
The ultimate safety primitive: defining when humans intervene, approve, constrain, or override autonomous decisions.

5 minutes
Traditional telemetry cannot explain LLM reasoning. Agent systems need semantic-level visibility: reasoning graphs, tool-call chains, …

6 minutes
Agents increasingly rely on long-term memory, embeddings, caches, and shared state. We need strong security and governance primitives around …

12 minutes
Agents need a control plane. Routing, scheduling, failover, cost-aware prioritization, and cross-agent coordination must be first-class …

10 minutes
Infinite task loops and runaway agents are already common failure modes. We need quota systems, throttling, and prioritization baked in.

8 minutes
Like microservices, agents need versioning, deployment pipelines, and safe deprecation paths.

6 minutes
Agents need a standardized, authenticated, encrypted, and versioned protocol for inter-agent communication. Right now it is wild-west JSON …

7 minutes
Agents that act autonomously must obey provable invariants. Formal verification provides the missing guardrails for constraints like 'never …

26 minutes
Debugging agents is nearly impossible today. We need the ability to record and replay runs deterministically to diagnose errors and …

8 minutes
Models need to withstand data poisoning, prompt injection, and inversion attacks. A cleverly crafted input can collapse your system. This …

10 minutes
Why autonomous agents need hard limits, circuit breakers, and emergency stop mechanisms to prevent runaway execution and cascading failures.

9 minutes
How to make every agent action tamper proof and cryptographically verifiable for compliance and forensic analysis.

6 minutes
Guardrails must be enforced at runtime, not left as developer best practices. Just like infrastructure-as-code, compliance must be baked …

8 minutes
Go beyond API keys. Learn to engineer trustworthy AI agents with verifiable identity and attestation using the SPIFFE framework and a Python …

5 minutes
Why prompt injection is a critical vulnerability for AI agents. This guide covers detection techniques, architectural patterns, and a Python …

8 minutes
The next instalment in our series on trustworthy AI agents, an overview of 12 missing engineering primitives (encryption, identity, …

4 minutes
An overview of missing engineering primitives (encryption, identity, governance, orchestration, observability) required for AI Agents to be …

4 minutes
AI agents are a powerful new tool, but they also represent a growing security blind spot. Traditional security models are failing and a Zero …

6 minutes
A technical guide to creating a cost-effective, serverless pipeline for streaming CrowdStrike Falcon events directly into GCS, bypassing the …

3 minutes
In our latest podcast, we speak with Andreea, Head of Data at Xapo Bank, about how AI is reshaping finance. Discover how Xapo’s data …

17 minutes
The Model Context Protocol (MCP) is an emerging AI standard that enables secure, real-time context and tool integration for LLMs. Learn how …

4 minutes
Learn how to secure AI agents and protect sensitive data with Role-Based Access Control (RBAC) on Google Cloud's Vertex AI. Implement robust …

4 minutes
How is AI transforming baseball? In this episode of Hot or Hype, we explore how the San Francisco Giants are using AI for player scouting, …

2 minutes
Dive into our second Hot Or Hype podcast episode as we explore the buzz around AI Agents. Are they just super-powered Siri or a …

2 minutes
Join our deep dive into AI-driven predictive analytics, explore real-world applications, potential pitfalls, and expert tips for success. Is …

2 minutes
Is AI-driven predictive analytics the future of business intelligence or just another overhyped trend? In this episode of Hot or Hype, we …

5 minutes
How I optimize GCP costs with a FinOps-driven framework. Track actionable strategies, tools, and templates to reduce spend, improve …

11 minutes
Discover how combining Ray and Vertex AI creates a complete solution for scalable AI. Our team takes a look at training, deployment, and …

5 minutes
Thoughts on best practices for scaling AI models with cloud computing, including MLOps, cost optimization, and industry-specific use cases …

5 minutes
My key insights from the 2024 DORA Report, focusing on the evolution of AI integration, platform engineering, and developer experience.

7 minutes
How cloud platforms close the gap between AI experiments and production capability, with elastic compute, managed data services, and …

5 minutes
What are the core principles and best practices for building a modern data architecture? Our opinion on scalable design patterns, security …

6 minutes
How to build an AI-first cloud strategy, integrating scalable architectures, data governance, and machine learning for actionable insights.

5 minutes
How is the EU AI Act is shaping global AI development? Here are some compliance strategies and industry-specific solutions for banking, …

5 minutes
What are the implications of the EU AI Act for global businesses in banking, ecommerce, and gaming. How can data governance, cloud-native …

4 minutes
How Sakura's advanced analytics and machine learning optimizes advertising campaigns. We deliver robust data pipelines, scalable cloud …

4 minutes
This guide explores key considerations for marketers to ensure compliance while maintaining ethical, effective practices.

8 minutes
The Sakura team looks at ethical AI issues for data scientists and engineers, focusing on transparency, accountability, fairness, privacy, …

5 minutes
Multiple Imputation strategies and key considerations tailored for data engineers and data scientists in the financial industry, designed to …

10 minutes
Understand Data Mesh principles, tools, and best practices for implementing a decentralized data architecture. Learn when and how to apply …

5 minutes
A modern, scalable, and efficient data analytics pipeline that transforms raw data into actionable insights, utilizing DigitalOcean's …

4 minutes
Strategies for detecting and mitigating bias to ensure fairness and equity in artificial intelligence.

4 minutes
TileDB, PrestoDB, TensorFlow, Dask, Zarr, and Apache Arrow can transform data management and analytics in the financial industry, enhancing …

3 minutes
Azure services like Data Factory, Databricks, and SQL Server offer significant benefits when aligned with the Medallion Architecture.

3 minutes
Terraform, a powerful Infrastructure as Code tool, can be leveraged to implement effective data governance in your cloud environment.

4 minutes
Privacy by Design and its importance in data engineering.

4 minutes
An overview of the principles of zero trust security can be applied to a medallion architecture within a data lakehouse

6 minutes
Delve into the ten most critical concerns for API security.

3 minutes
Starting with the right pattern is important and you may be considering approaches such as a data warehouse, a data lake, or perhaps the …


5 minutes
Implementing Zero Trust for containers can help organizations secure their dynamic containerized environments and minimize the risk of …

4 minutes
Implementing Zero Trust for containers can help organizations secure their dynamic containerized environments and minimize the risk of …

4 minutes
Medallion architecture is a design pattern for data lakehouses that helps organizations effectively manage and analyze data at scale.

4 minutes
The data lakehouse concept has emerged as a new approach to address the limitations of traditional data lakes and data warehouses.

4 minutes
In the age of data-driven decision making, effective data governance has become increasingly important for businesses of all sizes.

3 minutes
Data literacy is the ability to read, analyze, interpret, and communicate data effectively.

3 minutes
Data literacy is the ability to read, analyze, interpret, and communicate data effectively.

4 minutes
Data architecture is the backbone of an organization's data management strategy, providing the structure and guidelines for storing, …

3 minutes
As data-driven solutions and artificial intelligence (AI) become increasingly prevalent, organizations must prioritize data ethics and …

3 minutes
Effective data access and sharing practices are crucial for organizations to facilitate collaboration, drive innovation, and make informed …

5 minutes
Data Lifecycle Management (DLM) is a critical aspect of data governance, involving the systematic management of data throughout its entire …

6 minutes
Data integration is a critical process for organizations looking to combine data from multiple sources, systems, and formats to enable …

3 minutes
Data stewardship plays a crucial role in any successful data governance program


3 minutes
Data quality is a critical component of any data governance program.

3 minutes
Why an Infrastructure as Code approach with HashiCorp Terraform is best practice.

2 minutes
Questions to ask yourself to determine how assets are at risk from a cyberattack.
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