reverse-skill is an open-source Agent Skill that routes AI coding agents to the right reverse-engineering or penetration-testing methodology for a given target, with scope gating and an audit trail built in rather than bolted on.
How to build an AI-native security operations platform — SIEM, SOAR, XDR, CSPM and an AI copilot in one product — module by module, in plain English.
The detection engine is the heart of a security platform — turning millions of events into a handful of alerts that matter, using rules, behaviour analytics and anomaly detection.
Instead of an analyst manually pivoting across consoles, an AI investigation agent gathers the evidence and proposes a root cause. How it works, and where its limits are.
A conversational security copilot lets anyone ask 'which EC2 instances are public?' and get an answer — no query language required. How it's built, and how to keep it safe.
Most cloud breaches start with a misconfiguration — a public bucket, an open security group, an unused admin key. How AI CSPM finds and explains them across AWS, Azure and GCP.
Compliance is usually a frantic pre-audit scramble. Continuous compliance automation maps live security evidence to controls, so 'Are we SOC 2 compliant?' has a real-time answer.
Every scanner returns thousands of vulnerabilities. AI-prioritised vulnerability management tells you which handful actually matter today — by exploitability, exposure and business impact.
Identity is the new perimeter. How AI identity security monitors users, keys and tokens to catch privilege escalation, dormant admins and shared accounts before they're abused.
When a brute-force attack hits at 3am, a human isn't watching — a playbook is. How SOAR-style automated response contains threats safely, with human approval where it counts.
Threat intelligence turns an anonymous IP into a known ransomware C2. How to import feeds like MITRE ATT&CK and CVE, and enrich every alert automatically.
The data collection layer is where an AI security platform earns its visibility — ingesting events from cloud, servers, containers, SaaS and network without blind spots.
Millions of security events arrive daily in incompatible formats. Here's the pipeline that turns raw logs into structured, queryable, enriched records at scale.
Boards don't want packet captures — they want to know if the business is safe. How to design an executive security dashboard that turns technical signal into a decision in 30 seconds.
One over-stretched LLM makes a mediocre security analyst. A multi-agent architecture routes each task to a specialist — cloud, identity, malware, compliance — with a coordinator on top.
A technical walkthrough of the neural networks behind deepfakes and the detection methods trying to keep pace with them.
A clear breakdown of how passkeys work, why they're phishing-resistant by design, and what businesses need to know before rolling them out.
A look at where biometric authentication is heading as fingerprints and face scans give way to behavioral, physiological, and multimodal identity systems.
A clear walkthrough of decentralised identity — how it replaces logins owned by platforms with credentials owned by the person they describe, and why it matters for security and privacy.
A practical guide to content authenticity and the C2PA standard — how provenance metadata, content credentials, and watermarking work, and why they matter more than deepfake detection.
As AI agents and bots increasingly mimic human behavior online, a growing set of technical approaches are emerging to let people prove they are real humans without sacrificing privacy.
A practical explainer on cyber resilience — the discipline of designing systems that keep functioning, recover fast, and limit damage even after an attacker gets in.
A practical look at what secure-by-design means for AI systems, how they actually fail, and the architectural patterns that keep failures contained rather than catastrophic.
Non-human identities—service accounts, API keys, bots, and AI agents—now vastly outnumber human users in most enterprises, and most security programs still aren't built to manage them.
A closer look at how tool poisoning attacks exploit the Model Context Protocol, why they matter for any team connecting AI agents to external tools, and how to defend against them.
AI agents don't fit the assumptions perimeter security and static IAM were built on. This piece explains why zero trust is being re-architected around autonomous, non-human actors.
AI browser agents can click, type, and submit forms on your behalf, but that same autonomy creates a new attack surface where a webpage itself can hijack the agent's actions.
A look at how AI systems now discover software vulnerabilities before attackers do, how the pipeline actually works, and what changed when that capability turned up in criminal hands.
A plain-language look at how AI voice cloning powers modern vishing attacks, why security teams now rank it among the top initial access vectors, and how organizations can defend against it.
A practical breakdown of the technologies behind online age verification, from ID scans and facial age estimation to third-party age tokens, and why they're becoming mandatory.
A plain-language guide to the EU Digital Identity Wallet under eIDAS 2.0: how it works, who has to accept it, and what it means for businesses building identity and payment flows in Europe.
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