The new U.K. Labour government is expected to significantly shift AI and data protection regulations. Jonathan Armstrong, legal expert and partner at Punter Southall Law, discussed the Labour Party's likely move toward stricter AI regulations, aligning more closely with EU standards.
CISOs Shefali Mookencherry and Kenneth Townsend examine the implications of AI for copyright infringement and consent. They discuss the need for clear governance and responsible use of data and the evolving landscape of AI privacy issues in both the healthcare and non-healthcare sectors.
The threat landscape is becoming more hazardous. AI and deepfake technologies are emerging as major new tools used by cybercriminals to create more effective campaigns. And advanced persistent threat actors are getting more brazen, said Preston Miller, director at Unit 42, Palo Alto Networks.
Accenture's Daniel Kendzior and Palo Alto Networks' Rich Campagna discuss the need to implement robust AI security measures. They highlight the importance of controlling third-party AI access, safeguarding AI infrastructure and evolving cybersecurity strategies to counter AI-driven attacks.
At ISMG's Cybersecurity Summit: North America Midwest, security leaders gathered to discuss AI's dual role in cybersecurity, regulatory challenges, cyber insurance strategies and emerging threats including deepfakes. The event featured critical insights on evolving threats and defense strategies.
A new Gartner poll shows 55% of organizations have established AI boards to govern artificial intelligence initiatives. As AI's influence grows across business functions, these boards can help reduce risks and drive value by establishing regulation and governance.
Artificial intelligence tools are both a blessing and a curse for companies. They enable staff to be more efficient and get tasks done quicker, but they also allow an ever-increasing amount of sensitive data to walk out of the organization. Risk management controls need to be in place.
OpenAI appears to be removing access to its services for users in China, Russia and Iran in the next two weeks. The company did not explain its decision, but it has disrupted influence campaigns and cybercrime based in those countries, and the U.S. government is restricting access to AI technology.
As the largest media company at RSA Conference 2024, ISMG conducted more than 150 individual interviews with CEOs, CISOs, government leaders, investors, researchers and analysts. This compendium covers every facet of cybersecurity, from the latest technology solutions to emerging trends.
Like security practitioners, cybercriminals want AI too. But in the AI-versus-AI cyber battle, the barrier for malicious actors "keeps getting lower and lower, while the barrier for defenders is getting more complex and more difficult," said Rick Holland, field CISO, ReliaQuest.
Small and medium-sized businesses face mounting cybersecurity threats from AI-generated malware. Troy Leach, chief strategy officer at the Cloud Security Alliance, advises SMBs to implement continuous monitoring and automation to effectively mitigate risks.
Forrester senior analyst Tope Olufon discusses how CISOs face the challenge of shadow IT with generative AI. CISOs need to approach AI as they would any other technology, he says. "Create a threat model, not just based on best practices, but for your organization, and then build security for that."
The Cybersecurity and Infrastructure Security Agency is hosting a series of tabletop exercises through its flagship public-private collaborative while developing a new playbook for both sectors to better respond to emerging cybersecurity risks associated with artificial intelligence.
Researchers have found a new way of poisoning machine learning models that could allow hackers to steal data and manipulate the artificial intelligence unit's output. Using the Sleepy Pickle attack method, hackers can inject malicious code into the serialization process, said Trail of Bits.
Artificial intelligence technologies offer tremendous promise in healthcare, but it's crucial for organizations to carefully assess the complex data privacy concerns involved with different types of AI products and deployments, said Karen Habercoss, chief privacy officer at UChicago Medicine.
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