Business · 17 February 2026
AI in Business
For business leaders and professionals
At askKira, we provide secure, personalised enterprise AI for UK businesses. Our platform prevents data leaks, protects IP and client data, and gives your teams AI-powered tools at a fraction of the cost of other enterprise solutions.
This week's roundup brings you the latest AI developments that matter for UK organisations.
Legal & Regulatory Landscape
UK regulators unite on AI financial conduct
The Financial Conduct Authority (FCA), ICO and Bank of England have strengthened their collaboration through the Digital Regulation Cooperation Forum. This joint approach clarifies how existing financial conduct rules apply to AI, specifically addressing conflicts between data protection and financial regulations. The bodies are prioritising a technology-neutral framework that holds senior leadership accountable for algorithmic decisions under the Senior Managers and Certification Regime.
Why it matters: Financial services firms can no longer treat AI compliance as a siloed IT issue; governance must now bridge data protection and financial conduct to satisfy multiple regulators simultaneously.
Read the source on LinkedIn →Legal privilege denied for AI-generated documents
In a significant ruling with implications for global legal teams, a US federal judge has determined that AI-generated documents do not automatically qualify for attorney-client privilege simply because they were sent to a lawyer. Judge Jed Rakoff ruled that privilege protects communications for legal advice, but if an executive uses AI to draft a narrative or summary independently, that material may be discoverable in court.
Why it matters: UK legal teams must urgently review internal protocols, as executives using AI to 'prep' for legal counsel may be inadvertently creating discoverable evidence that is not protected by privilege.
Read the source on LinkedIn →UK moves to criminalise non-consensual deepfakes
New legal provisions are coming into force that explicitly target the creation and distribution of non-consensual deepfake content. This legislative update closes loopholes regarding synthetic media, treating the generation of such content with similar severity to other forms of image-based abuse. This move places a higher burden on platforms and employers to monitor the use of generative tools within their networks.
Why it matters: HR and safeguarding policies must be updated immediately to classify the creation of deepfakes using company hardware as gross misconduct with potential criminal liability.
Read the source on LinkedIn →Enterprise Security & Strategy
Security blind spots found in multi-LLM agents
A new study reveals a critical security gap when DevOps teams stack AI agents from different providers. Security tools that are 93% accurate on one provider's agents dropped to 49% accuracy when monitoring others, creating a 'detection gap' that attackers can exploit. Traditional security tools relying on timing and signatures are failing to detect threats across diverse model behaviours.
Why it matters: If your organisation uses a 'bring your own model' approach, your current security stack may be failing to detect nearly half of all malicious injections or data exfiltration attempts.
Read the source on LinkedIn →AI adoption driven by incentives, not age
New research from McKinsey dispels the myth that AI adoption is a generational issue. The study found that 'digital natives' adopt AI faster only because they are incentivised to learn (grades or career entry), while senior leaders often lack similar motivation. The bottleneck is not technical literacy but the absence of KPIs and incentives that encourage senior staff to alter established workflows.
Why it matters: Stop relying on 'reverse mentoring' from junior staff and start redesigning executive compensation and performance metrics to reward AI-first leadership behaviours.
Read the source on LinkedIn →Agentic Trends
Non-technical staff driving 'Agentic Coding' boom
The Anthropic 2026 Agentic Coding report highlights that non-technical professionals are now producing 27% more output by building their own software solutions using AI agents. Staffing teams, operations managers and designers are bypassing traditional IT queues to build bespoke tools. While this boosts productivity, it raises significant concerns regarding code quality and 'shadow IT' governance.
Why it matters: IT leaders must urgently decide whether to block these tools or provide a sanctioned 'sandbox' environment, as unmanaged code generated by non-developers poses long-term maintenance risks.
Read the source on LinkedIn →