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Scoop.it!
As generative AI transforms business, security experts are adapting hacking techniques to discover vulnerabilities in intelligent systems — from prompt injection to privilege escalation. 
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A recent Metomic survey found that artificial intelligence (AI) has created a number of data security challenges.
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The world of software development is changing fast. AI isn’t just influencing software – it’s reshaping how software is written and the components it’s made of.
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The CISO’s role has always been to protect the organization from threats it does not yet understand. AI poisoning requires CISOs to rethink risk, architecture, relationships, and shared responsibility.
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In a recent case tracked by Flashpoint, a finance worker at a global firm joined a video call that seemed normal. By the end of it, $25 million was gone. Everyone on the call except the employee was a deepfake. Criminals had used AI-powered cybercrime tactics to impersonate executives convincingly enough to get the payment approved.
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AI is accelerating cyber threats faster than enterprises can react, and most lack the cyber defenses needed to secure their AI-powered future.
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Fraudsters are optimizing illicit models with underground datasets, while criminal vendors roll out increasingly sophisticated deepfake generation and prompt engineering services.
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From
venturebeat
Identity is the essential control plane for agentic AI security, redefining enterprise defenses amid rising credential-based breaches.
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Security leaders must become AI cheerleaders, risk experts, data stewards, teachers, and researchers. Here’s how to lead your organization toward more secure and effective AI use.
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LLM agents with too much agency may act on unclear or adversarial inputs, risking unauthorized actions and harming security integrity.
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From
hbr
As companies move from narrow to generative to agentic and multi-agentic AI, the complexity of the risk landscape ramps up sharply. Existing AI risk programs—including ethical and cyber risks—need to evolve for organizations to move fast without breaking their brand and the people they impact.
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From
www
Without new frameworks, agentic AI threatens to overwhelm identity systems with complexity and risk.
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From
www
As AI becomes the weapon of choice for cybercriminals, defenders must rethink their own approach to artificial intelligence. Automation alone is no longer enough. The future lies in agentic AI—intelligent systems capable of planning, learning, adapting, and acting on behalf of human operators.
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From
mitsloan
New guidance includes 10 questions that can help organizations build secure-by-design artificial intelligence.
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Security often lags behind innovation. The path forward requires striking a balance.
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From
thenewstack
Generative AI is creating APIs faster than teams can secure them, leading to shadow APIs and security vulnerabilities. Learn how to implement governance controls.
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Agentic AI promises autonomous threat detection and process automation at machine speed — but introduces new security risks, unseen attack surfaces, and governance challenges that CISOs must address.
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From
www
AI is becoming integral in cybersecurity, and companies and VCs are logically investing AI-based defenses against cyberattacks
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From
www
Recent findings of AI ecosystem insecurities and attacks show how important MLSecOps is to securing AI strategies from complex and often highly concealed risks.
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From
www
For all its complexity, encryption and obfuscation, the weakest link in AI security is not AI itself but the humans behind it.
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From
thenewstack
Understand the major threats that large language models pose and apply effective defensive measures to deploy AI securely.
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The critical question is no longer whether AI will be weaponized, but how soon organizations can adapt to counter it.
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From
venturebeat
Agentic AI redefines how to secure digital ecosystems, where data pattern recognition and decision-making need to happen in real time.
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As AI systems become increasingly complex, companies must continually refresh security components to ensure infrastructure security and employee training remain top priorities.
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A new report from the Paladin Global Institute, The AI Tech Stack: A Primer for Tech and Cyber Policy, breaks down how AI systems are built and where the biggest security risks live.
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