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Scooped by
JC Gaillard
onto Artificial Intelligence and Cybersecurity January 28, 12:57 AM
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In digital forensics and cyber incident response (DFIR), where the rapid discovery of relevant information in a multitude of files and records is crucial, AI can be a game-changer, helping save both lives and businesses.
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From
venturebeat
The AI shift to the edge promises faster insights and more resilient operations, but it also transforms the demands placed on the network.
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As the flurry of excitement over fresh AI innovation begins to fade, risk leaders, heads of GRC and CISOs have a new challenge to tackle. Regulators, customers, and boards are all asking harder questions about how AI is used, secured, and audited. For CISOs, AI governance is now a board-level expectation.
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AI governance, done properly, is not about slowing down or banning innovation. It is about putting enough structure around AI use that you can explain it, defend it and scale it.
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While some researchers dismiss reports of AI-driven cyberattacks as merely marketing messages, threat intel experts counter that CISOs ignore mounting evidence of AI use in the threat chain at their own peril.
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Dr Vrizlynn Thing, SVP, Head of Cybersecurity Strategic Technology Centre at ST Engineering, shared how cyber-resilience principles can help organizations build AI that is secure, trustworthy, and robust
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Technology rethink urged as enterprises still struggle to achieve the full benefits of zero trust access control.
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From
betanews
Messente says that 85.6 percent of common passwords can be cracked in under ten seconds. Almost 88 percent fall within a month.
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Human-centered identity systems were never designed for the coming wave of autonomous AI agents. CISOs face a reckoning over how to rebuild identity systems to counter the risks.
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AI hackers don’t sleep — so our defenses can’t either. Digital twins could finally help us hunt threats 24/7, before they hunt us.
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AI agents reduce security toil by automating routine tasks and improving efficiency safely.
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Security teams invest in AI for automated remediation but hesitate to trust it fully due to fears of unintended consequences and lack of transparency.
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Stronger AI resilience depends on organizational clarity and culture
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From
www
The current model of managing corporate identities is unprepared for a wave of AI agents gaining access to privileged resources.
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Enterprise AI defense is reshaping how CISOs manage risk as AI spreads across core systems, agents, and infrastructure.
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NVIDIA and Lakera AI built a framework that introduces ways to simulate threats inside workflows, watch behavior, and apply safeguards.
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LLMs are moving deeper into enterprise products and workflows, and that shift is creating new pressure on security leaders.
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By modernizing defenses and embracing phishing‑resistant identity protection, organizations hope to outpace the next wave of AI‑driven threats.
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One malicious prompt gets blocked, while ten prompts get through.
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From assessing your organizational risk tolerance to vetting the vendor’s long-term viability, AI-powered capabilities present complexities and nuances that require a deep commitment to determining fit.
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Unlike conventional IT systems—with bounded entry points, predictable patch cycles, and known vulnerabilities—large language models (LLMs) and To adapt, organizations must make their own security as dynamic, adaptive, and scalable as the adversaries they face.
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To harness the power of agentic AI, identity must evolve from a simple login gatekeeper into the dynamic control plane for your entire AI operation.
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Chinese threat actors reportedly abused Anthropic's AI to automate mass break-ins of target organizations.
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With a 4M cybersecurity worker shortage, agentic AI helps SOCs move beyond triage, enabling proactive security once thought impossible.
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Human-centered identity frameworks are incorrectly being applied to AI agents, creating the potential for catastrophe at machine speed, Poghosyan argues.
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A survey of 400 cybersecurity leaders in the U.S. and United Kingdom published today finds all respondents reporting that AI tools are now generating code A survey of 400 cybersecurity leaders finds all respondents reporting there is now code generated by artificial intelligence (AI) tools.
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