Harnessing AI for corporate cybersecurity

Cyber ​​security in the midst of the new arms race, and the strong strong weapon in this new age is Amnesty International.

AI offers a classic sword: a strong shield for defenders and a strong new tool for those who have a harmful intention. This mobility in the complex battlefield requires a fixed hand and a deep understanding of both technology and people who will be offended.

For an frontal view, AI News caught with Rachel James, the main threat intelligence engineer at Abbvie Global Abbvie.

“In addition to enlarging artificial intelligence that was presented in our current tools, we also use LLM analysis on our discovery, notes, our relationships and associated rules,” explains James.

James and her team use large linguistic models to take off through a mountain of security alerts, search for patterns, discover repetitions, and find dangerous gaps in their defenses before the attacker can do so.

“We use this to determine the similarity and duplication and provide the gap analysis,” she added, noting that the next step is to weave external threat data. “We are looking to strengthen this with the intelligence of the threat in our next stage.”

The threat intelligence platform specialized in this process is a specialized platform in the field of threats called OpenCTI, which helps them build a unified image of threats from a sea of ​​digital noise.

Artificial intelligence is the engine that makes this cyberspace possible possible, taking huge amounts of mixed and irregular text and accurately organizing it in standard format known as Stix. James says that the biggest vision is the use of language models to connect this basic intelligence with all other areas of its security operations, from managing weakness to third -party risks.

Take advantage of this force, however, comes with a healthy dose of caution. As a major contributor to the main industry initiative, James is completely perceived.

“I will be limited if I don’t mention the work of a wonderful group of people, I am part of it -” Owasp Top 10 for Genai “as a founding means of understanding the weaknesses that Knai can present,” she says.

In addition to the specified weaknesses, James refers to three basic differentials that business leaders must face:

1. Acceptance of risks that come with creative nature, but it is often unpredictable of obstetric artificial intelligence.
2. Loss of transparency in how artificial intelligence reaches its conclusions, a problem that only grows because the models become more complex.
3. The risk of judgment badly on the real return on investing in any Amnesty International project, as noise can easily lead to an overwhelming assessment of benefits or reduce the effort required in this rapid field.

To build a better position of cybersecurity in the era of artificial intelligence, you have to understand your striker. This is where James’s deep experience plays.

“This is in fact my own experience – I have an online intelligence background and I have documented and documented intense research in the interest of the representative of the threat, its use and development of artificial intelligence,” you notice.

James follows the activity of numerical gossip and the development of tools through open source channels and its automatic groups from the Dark Web network, and the exchange of results reached on Cybershujin GitHub. Her work also involves her dirty hands.

“As the introduction to OWASP fast injection, co -author of the Red Teaming Genai Guide, I also spend time developing myself for myself and keeping a network of experts also in this field,” says James.

So, what does all this mean for the future of industry? James, the path forward is clear. It refers to a wonderful parallel that it discovered years ago: “The life cycle of the intelligence of cyberspace is almost identical to the lifebatics cycle of institutional data for the AI ​​ML systems.”

This alignment is an enormous opportunity. “Without a doubt, in terms of data sets that we can work with, defenders have a unique opportunity to benefit from the power to share intelligence data and AI.”

Its final message provides an encouragement and warning to her peers in the world of cybersecurity: “Data science and Amnesty International will be part of the life of every professional in cybersecurity to move forward and embrace it.”

Rachel James will share her visions this year AI and Big Data Expo EUROPE In Amsterdam on September 24-25, 2025. Make sure that her day is reviewed in the presentation on “from a principle to training-the enforcement of artificial intelligence ethics on a large scale.”

See also: Google Cloud reveals AI ally for safety teams

Do you want to learn more about artificial intelligence and large data from industry leaders? Check AI and Big Data Expo, which is held in Amsterdam, California, and London. The comprehensive event was identified with other leading events including the smart automation conference, Blockx, the digital transformation week, and the Cyber ​​Security & Cloud.

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