Loading story…
Security leaders in both the financial and enterprise sectors are prioritizing the secure adoption and management of artificial intelligence (AI) technologies, as well as addressing the associated risks and operational challenges. CISOs are focusing on building resilience, integrating AI into security operations, and ensuring that AI-driven tools are used safely and effectively within their organizations. Key concerns include the emergence of new attack surfaces due to AI, the need for robust governance and visibility over AI tool usage, and the importance of balancing productivity with intellectual property protection. In the financial sector, companies like Advisor360 are implementing automation to control the proliferation of unsanctioned AI tools, known as "shadow AI," to maintain compliance and security in a highly regulated environment.
Security leaders are also preparing for future threats such as quantum computing and the increasing sophistication of AI-driven attacks, including automated social engineering campaigns. The emphasis is on proactive strategies—such as embedding security controls early in AI adoption, standardizing enterprise-grade AI solutions, and educating employees on safe AI usage—to prevent burnout and ensure long-term business continuity. These efforts reflect a broader industry trend toward leveraging AI for both defensive and operational improvements, while remaining vigilant about the unique risks AI introduces to cybersecurity and regulatory compliance.
Mallory correlates global threat intelligence with your attack surface — know if you’re exposed before adversaries strike.
4 events from the most recent confirmed update back to the earliest known activity.
On January 8, 2026, security experts outlined major mistakes CISOs should avoid in 2026, including weak identity controls for AI agents, poor cloud security, supply chain exposure, compliance failures, and neglect of human factors. They also stressed zero trust, continuous monitoring, stronger governance, and employee training as necessary countermeasures.
By early January 2026, CISOs from major organizations identified top security priorities for 2026, including proactive resilience, securing AI and agentic AI, managing human and non-human identities, and preparing for quantum-era cryptographic risks. They also emphasized earlier breach detection, measurable security outcomes, and reducing burnout in security teams.
In 2025, a supply chain attack affecting Jaguar Land Rover was cited by security leaders as an example of the operational and financial damage caused by third-party and interconnected technology risks. The incident became a reference point for CISOs assessing supply chain resilience.
In 2024, fintech company Advisor360 deployed Harmonic Security's Harmonic Protect to automate detection of unsanctioned AI tools and enforce safer AI usage. The move gave its small security team real-time visibility into employee AI tool adoption and reduced manual review burdens.
Vulnerabilities, threat actors, malware, products, organizations, and breaches Mallory has linked to this story.
3 references tracked. Mallory keeps watching after this page renders.
Map indicators from this story to your assets and identify affected systems in minutes.
Every observed campaign, victim, and pivot linked to actors named in this story.
Malware, exploits, and IOCs connected to the activity described here.
YARA, Sigma, and Snort rules deployed to your SIEM as soon as they’re published.
Get matching new stories delivered to your team as they break — not the next morning.
Ask questions about this story and take action on the answers.
Other stories Mallory is tracking that overlap on entities, sources, or topic labels.
Organizations are rapidly integrating AI technologies into their cybersecurity and business operations, but this shift introduces new risks and regulatory complexities. CISOs are urged to assess organizational risk tolerance, vendor viability, and the security implications of AI-powered solutions, as adversaries exploit AI for advanced attacks such as deepfakes, phishing, and prompt injection. The rise of shadow AI—unauthorized or poorly governed AI use—has led to increased breach costs and operational risks, while established vendors and startups alike are embedding AI into security tools for threat detection and incident response. Research indicates that extensive AI deployment can significantly reduce breach recovery times and costs, but also highlights the dangers of unmanaged AI adoption. Simultaneously, compliance is evolving from a procedural hurdle to a strategic enabler in regulated industries, with frameworks like HIPAA, SOC 2, and the EU AI Act shaping how AI and data are managed. CIOs face mounting pressure to establish robust AI and data foundations that ensure sovereignty, regulatory readiness, and operational resilience. Enterprises that act quickly to unify data governance and AI readiness are seeing substantial returns, while those lagging behind risk falling short of compliance and security expectations. The convergence of AI adoption, data sovereignty, and regulatory mandates is redefining digital transformation, making security and compliance central to enterprise innovation strategies.
Jun 29, 2026
Artificial intelligence is rapidly transforming both the threat landscape and defensive strategies in cybersecurity, prompting CISOs and security leaders to rethink their approaches. A global study by Gigamon found that 86% of CISOs now view metadata and packet-level data as essential for detecting threats in complex hybrid cloud environments, but 97% admit to making trade-offs that leave visibility gaps. The rise of AI-driven attacks is fueling demand for real-time visibility and observability tools, with 75% of CISOs regarding public cloud as their highest security risk and 73% considering moving workloads back to private clouds. Security teams are investing heavily in AI-specific security tools, with 73% of companies spending over $1 million annually, yet 70% cite the rapid pace of AI development as their top concern. Recent high-profile breaches, such as those at LexisNexis Risk Solutions and McLaren Health Care, illustrate the increasing scale and sophistication of attacks, often amplified by AI. AI is accelerating the reconnaissance phase of attacks, enabling adversaries to map environments and identify vulnerabilities with unprecedented speed and precision, though human direction remains necessary for effective exploitation. The proliferation of AI-generated code, including through practices like 'vibe coding,' introduces new risks as less experienced developers may overlook security fundamentals, leading to insecure applications. Agentic AI systems, which act autonomously or on behalf of users, present urgent challenges in authentication, authorization, and identity management, with experts calling for scalable frameworks and robust credentials to prevent security lapses. CISOs are urged to build security into the design phase of software development, leveraging platform-native controls and enforcing policies like Row Level Security to minimize risk. The integration of AI into security operations is seen as both an opportunity and a challenge, requiring adaptive access solutions, post-quantum cryptography, and continuous monitoring. As AI reshapes digital transformation, organizations must balance the benefits of rapid innovation with the imperative to secure their environments against increasingly sophisticated, AI-powered threats. The consensus among experts is that security must evolve in tandem with AI capabilities, emphasizing proactive risk management, cryptographic agility, and a culture of security awareness across all levels of the organization.
Jun 29, 2026
Security leaders across industries are increasingly concerned about the rapid evolution of AI-enabled cyberattacks, which are now among the top threats facing enterprises. Recent research highlights that cybercriminals are leveraging artificial intelligence to automate and enhance attack chains, including the use of deepfakes, automated phishing, and AI-generated malware. These AI-driven threats are capable of executing full attack sequences autonomously, from reconnaissance to data exfiltration, at speeds and scales previously unattainable by human operators. Security teams are responding by investing heavily in AI-powered defensive tools, aiming to accelerate detection, triage, and containment of threats. However, experts caution that AI should be used as a 'copilot' rather than an 'autopilot,' emphasizing the necessity of human oversight to ensure effective and responsible use of these technologies. The human element remains a critical vulnerability, as attackers use generative AI to craft highly convincing social engineering campaigns, including synthetic audio and video, which can bypass traditional awareness programs. The arms race between offensive and defensive AI is intensifying, with both sides seeking to outpace the other in sophistication and automation. Security leaders are also grappling with the challenge of integrating AI into their broader risk management and governance frameworks, ensuring that AI-driven solutions align with organizational policies and regulatory requirements. The expanding role of the CISO now includes oversight of AI risk, reflecting the technology's growing impact on enterprise security posture. As AI becomes more embedded in both attack and defense, organizations are re-evaluating their incident response strategies, workforce training, and investment priorities. The shift towards AI-driven security operations is not without challenges, including the risk of over-reliance on automation and the need for continuous adaptation to evolving threat tactics. Industry studies indicate that while AI can handle routine security tasks, complex and strategic decision-making still requires skilled human analysts. The ongoing development of AI in cybersecurity is reshaping the landscape, demanding new approaches to both technology deployment and leadership. Security teams are urged to balance innovation with caution, ensuring that AI augments rather than replaces critical human judgment. The future of enterprise security will likely be defined by the effectiveness of this human-AI partnership in countering increasingly sophisticated, AI-powered adversaries.
Jun 29, 2026