Whitepaper: Insider risk through a behavioural lens - prevent more than you react.

WWHD—What Would a Human Do? Personality alignment should help people act wisely, not merely agree more often. If a reasonable human would reject the nudge, so should the AI Agent. That builds and keeps trust!

Brief your execs on AI risk/return in one focused session. Actionable, not academic.

Chrome's testing an auto-upgrade from passwords to passkeys. Quietly safer logins = fewer tickets.

Humour: Shadow AI is 'innovation' right up until audit day.

Whitepaper: Changing risky on-the-job behaviours - what actually works post-awareness.

SAFER AI aligns risk, ROI, and change so value shows up faster - and safer.

Big takedown: 338 domains seized in a global M365 phishing ring. Pair infra disruption with user coaching for durable impact.

Cognitive bias and decision psychology: The same levers that can protect us—urgency, authority, social proof, scarcity—are often exploited to hack judgment. We codify those levers, use them transparently, and hold the model to account when deploying it. buff.ly/u8QiOKK

Behaviour drives outcomes. 'Phishing isn't random' - so don't train randomly. Target by style for measurable gains.

If an AI trades or negotiates on your behalf, consent and intent get murky. How should responsibility be assigned?

AIQ is a closed, policy-aware assistant that adapts to each employee's decision style. Compliance people actually follow.

Humour: We call it 'least privilege'; marketing calls it 'VIP access'. Guess who wins?

Canada's 2025 cyber strategy doubles down on collaboration. SMBs: use this momentum to standardise basics.

Whitepaper: SEC rules require evidence, not adjectives. Here's how to make disclosures credible.

A Hat Trick Strategy for Safe Usage of ChatGPT and Other LLMs: Technical Controls, Cybersecurity Policy, and End-User Awareness" techellect.com?p=9011

Why Our NIST CSF 2.0 Risk Assessment Tool is a Game-Changer for SMB CISOs

"Today’s agentic AI experiments are efficient fictions at best and superficial sycophancy at worst. They compress people into tidy labels that may suit a campaign but fail at moments of consequence." We can do better...

Before buying AI, get the groundwork right: people, process, data. Our AI Readiness path avoids 'pilot forever'.

AI feels magical, like a genie that can answer anything. But once the genie is out of the bottle, how do we use it wisely? Dr. James Norrie explains why waiting for regulation won’t protect us — and why human intelligence must always prevail over artificial intelligence. #ResponsibleAI #AIethics

FIDO's 2025 report: passkeys are gaining traction across major services. Less phish, fewer resets, happier users.

We ignore one-size-fits-all bots. Style-aligned, RAG-grounded assistants meet us where we are - earning trust and shaping safer decisions in the moment. buff.ly/FeY4jgK #AIethics #Personalisation #SAFERAI

Risk styles are predictable. myQ maps who is likely to click or ignore - and we coach them differently. Culture change without the eye-roll.

Your board wants clarity, not jargon. Our NIST 2.0 assessment shows % coverage and the 3 things to fix next - so budget moves with you.

Updated Post: Using ChatGPT and Other LLMs Safely

Updated Post: Using ChatGPT and Other LLMs Safely

Let us be practical: Book an executive briefing: align AI opportunity with policy, controls, and culture. Learn more:

Here is the thing: Behavioural science changes outcomes when training is style-aligned to each person. Read the whitepaper:

This keeps paying off: Get AI readiness right: governance, data quality, and change management built in. Learn more:

What we keep seeing: Regulators and standards bodies are aligning, which lowers costs for doing the right things. Details:

This keeps paying off: Open collaboration is working: public guidance and toolchains are reducing common classes of failure. Details:

Real talk: Move beyond generic SAT. Deliver style-aligned learning that sticks. Learn more:

What we keep seeing: Zero trust is not 'we trust the VPN'.

Discussing the Hidden Dangers of Relying on AI for Cybersecurity and how we can help mitigate human factor cyber risk. techellect.com?p=8206

What we keep seeing: Password rotation is not cyber fitness.

CISO on a Budget: Defending the Kingdom with Duct Tape and Hope?

Here is the thing: Every breach post-mortem includes the phrase 'we assumed'.

Let us be practical: The board wants risk in dollars. You brought them vibes.

Real talk: Personalise training to risk styles so behaviour changes and risk goes down. Learn more:

What we keep seeing: Backups are how you tell ransomware 'no'. Restores are how you prove it.

Let us be practical: Practical progress beats headlines: incremental improvements across the stack make attacks harder. Details:

This keeps paying off: Ecosystem upgrades are landing: modern cert transparency and stronger defaults improve safety at scale. Details:

Let us be practical: Compliance is the floor, not the ceiling. Unless your ceiling leaks too.

AI does not just assist anymore; it acts. When actions cause harm, who should carry liability? Exploring law, ethics, and accountability:

Let us be practical: Regulators and standards bodies are aligning, which lowers costs for doing the right things. Details:

New Post: Who’s Liable When AI Acts on Its Own?

Here is the thing: Leaders can modernise culture without fear-first tactics by focusing on measurable habits. Read the whitepaper:

Let us be practical: Move beyond generic SAT. Deliver style-aligned learning that sticks. Learn more:

This keeps paying off: Measure cyber maturity in plain language, align to NIST 2.0, and brief the board in minutes. Learn more:

What we keep seeing: Ecosystem upgrades are landing: modern cert transparency and stronger defaults improve safety at scale. Details: