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Scooped by
JC Gaillard
onto Artificial Intelligence and Cybersecurity April 24, 2019 2:24 AM
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AI is widely considered a powerhouse that has yet to unleash its full potential. But in the face of rising cybercrime rates, one question seems especially pertinent: is AI a solution for cybersecurity, or just another threat?
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No one seems to know what AI agents are doing, even the companies that keep them. MIND research underscores that AI Agents have gotten away from security teams and getting a fix on their identities and activities requires operational and cultural shifts.
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AI agents are reshaping enterprise security, demanding identity governance and privilege controls to mitigate risks from their dynamic, autonomous actions.
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AI SOC agents can reduce alert fatigue, but most teams fail to measure real outcomes.
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AI SOC vendor claims don't match what practitioners see in production. A report documents the gap between marketing and incident performance.
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A new PwC report warns that AI is accelerating cyberattacks, but identity compromise remains the primary entry point for threat actors.
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From
www
A new report underscores a now-familiar pattern across industries: businesses want to use AI internally, but the route to that goal isn't always clear.
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From
www
Developments in The Prompt Economy over the past few weeks has been moving from retail and infrastructure issues to a focus on financial services.
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From
cybernews
No one asked them to do it. No adversarial prompting was employed. But these AI agents, deployed for routine enterprise tasks in a test, still went rogue and autonomously hacked the systems they were operating in.
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AI makes it easy to find executive PII online. Security teams must reduce digital exposure before attackers use AI to surface sensitive data.
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From
www
Automation and Agents Could Tip the Scales if Organizations Manage the Sprawl
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Humans at the controls. AI doing the boring work. Everything coming together—but faster, more accurately, and with a sense of judgement at the helm.
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From
www
Think your encrypted backups are safe? AI-driven ransomware now infiltrates networks, corrupts recovery points, and silently targets backup systems before you ever realize your data protection strategy has failed.
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From
www
AI is neither a miracle nor a menace. It is not a single story. It is a combination of genuine breakthroughs, unmanaged risks and inflated expectations, and whether it becomes a boon, a bane or a bubble depends almost entirely on how leaders choose to govern it.
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The next major cybersecurity shift is from 'AI content risk' to 'AI action risk'
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Enterprise security spending grows slowly as AI demands rise, pushing CISOs to reallocate budgets and manage competing priorities.
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Artificial intelligence has been a prime concern for cybersecurity for years, but it took on a new urgency at this week’s RSAC conference in San Francisco.
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From assessing risk to refocusing AI governance, here are four steps CISOs should take when faced with Shadow AI risks.
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AI's ability to find and exploit high-severity zero days at speed and scale presents both attackers and defenders with game-changing opportunity. Here's what CISOs should know.
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Shadow AI hidden in SaaS apps is driving a surge in cyberattacks, with OAuth token abuse and agentic AI enabling cascading data breaches.
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From
ortecha
Autonomous AI agents are entering enterprise systems with real permissions and decision-making capability. As organisations automate workflows, a new type of insider risk is emerging — one that governance frameworks are only beginning to address.
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AI coding agents introduced vulnerabilities in 87% of pull requests across Claude, Codex, and Gemini builds, exposing access control gaps.
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From
www
Google's latest threat report warns that third-party tools are now prime targets for attackers - and businesses have just days to keep them secure.
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Although much is said about the roles of entry-level analysts, CISOs should also focus on governance, playbooks and more to ensure that the SOC and the team is ready for AI.
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Narrow “shift left” has failed at AI scale. Move from developer-led fixes to AppSec-managed automation that triages findings and delivers tested pull-request fixes so teams can safely manage AI-generated code.
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As attackers use automation and AI to outpace traditional tools and people, our approach to cybersecurity must fundamentally change.
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The cat-and-mouse will continue between organizations and malicious actors both utilizing AI to protect and target. I see one impact to this endless game is an automated increase in game play speed. Will speed in the AI run world lead to automated mistakes?