What the OpenAI-Hugging Face Incident Really Reveals About Identity Security
Enterprises running their own internal agent evaluations or red-team environments should assume the same gap exists in their own setup.
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Enterprises running their own internal agent evaluations or red-team environments should assume the same gap exists in their own setup.
BARC research shows that healthcare and life sciences companies, paradoxically, are moving faster with agentic AI because longstanding regulations have forced them to build strong data foundations.
Good data removes the guesswork.
Exploring why automation, not detection, is becoming the deciding factor in surviving AI-accelerated attacks.
From the podcast studio
The Security Strategist
The Security Strategist
The Security Strategist
The Security Strategist
Analysis & rankings
Master Data Management (MDM) is the crucial prerequisite for reliable, scalable AI agent deployments.
Bridge the gap between your business context and AI success
Could AI change the way organisations buy and build business software?
The goal isn't simply to understand data governance as a set of policies and processes. It's to understand how those foundations need to evolve when data starts powering AI systems that can operate at unprecedented scale and speed.
AI captures the headlines, but the underlying requirement hasn't changed in nearly three decades: bad data yields bad results.
An Executive Q&A with Barbara Dondiego, CEO of AVOXI
BARC research shows that healthcare and life sciences companies, paradoxically, are moving faster with agentic AI because longstanding regulations have forced them to build strong data foundations.
AI should support, not replace, your expertise.
Whether you're attending Black Hat or simply want to stay ahead of the conversations shaping enterprise security, this episode provides practical context on the technologies, challenges, and priorities security leaders should be watching.
Enterprises running their own internal agent evaluations or red-team environments should assume the same gap exists in their own setup.
Good data removes the guesswork.
Listen to discover practical strategies for enabling AI innovation while reducing security risk, and learn how to build governance into AI agents without slowing your business down.
As organizations integrate AI agents into development, security operations, and routine tasks, many are suffering from severe "sticker shock" as unmanaged consumption of AI tokens leads to ballooning, unpredictable costs.
However, as companies rush to use AI, attackers are also adapting quickly.
Fireworks, Family, and the Framework for Data Governance
Exploring why automation, not detection, is becoming the deciding factor in surviving AI-accelerated attacks.
Evolution from telco to techco – the path forward for service providers
Organisations are under intense pressure to deliver on AI.
It is no longer only financial institutions in the firing line; ransomware groups now see oil and gas as both highly profitable and relatively exposed.
As organisations scale their use of automation and AI, non-human identity management is critical for maintaining security, compliance, and operational control.
The AI tools delivered results. The architecture behind them didn’t.
Learn how attackers exploit executive home networks to breach your company and discover the new necessary defence – Digital Executive Protection.
AI-driven SOC automation is accelerating faster than most organisations can comprehend, with autonomous agents already transforming alert triage and threat response.
Ostra Security Founder Michael Kennedy tells the host, Richard Stiennon why breaches are system failures, not human error and what outcome-based security metrics look like.
Zafran CISO Nathan Rollings explains how Agentic AI & contextual exposure management are replacing CVSS to focus on the 1-in-50k vulnerabilities.
Attackers have evolved their tactics. Environments have become more complex. And the economics of alert-driven security are growing increasingly unsustainable.
Policy without infrastructure is documentation. Infrastructure without policy is monitoring. Neither one produces trust on its own.
Defend Your APIs Before Attackers Do
Generative AI is transforming phishing attacks, challenging traditional email security systems and forcing organisations to rethink how they detect novel threats, reduce alert fatigue and protect against increasingly sophisticated cybercrime.
In modern AI systems, data is no longer just an asset. It becomes an instruction. T
Procurement is moving beyond traditional RFPs as organisations combine technology, data and human judgement to make smarter decisions.
Explore how data observability, quality and governance are converging into unified data trust platforms, reshaping vendor strategies and helping organisations build more reliable, cost-effective data ecosystems.
Why trust and AI are reshaping the future of enterprise procurement.
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