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Is AI Benefiting Attackers or Defenders?
Defense in Depth
Is AI Benefiting Attackers or Defenders?
We've been mired in endless discussions on how Adversaries and Defenders are (or could be) taking advantage of AI. Does one side have the upper hand? Or is this just a continuation of the endless "cat and mouse" game adversaries and security professionals play?
Check out this post for the discussion that is the basis of our conversation on this week’s episode co-hosted by David Spark, producer of CISO Series, and Geoff Belknap. Joining them is their sponsored guest, Rob Allen, chief product officer, ThreatLocker.
The promise and perils of LLMs
The use of artificial intelligence (AI) in cybersecurity is a double-edged sword, potentially benefiting both security professionals and threat actors. According to David Houchin of CohnReznick, AI can help security teams, but it also compounds risk, saying, "AI helps us act out decisions with alacrity, and to that end, the risks are the same but with greater speed. Data leakage now happens at a massive scale within the blink of an eye." While machine learning has been used for years to classify threats automatically, the increased complexity of large language models (LLMs) brings greater capability and risk. “LLMs take the complexity up a level, providing more capability but greater risk. LLMs don’t ‘think’ and should not be trusted for important decisions," said Vaughan Shanks of Cydarm Technologies.
A boon for defenders
There’s a compelling argument that AI tools shift the balance of cybersecurity toward defenders. As Ahsan Mir of Rapticore explains, while attackers traditionally had the advantage of choosing when to strike, AI is helping defenders overcome their traditional challenges, saying, “Defenders often needed more context, skills, and time, struggling to process everything rapidly. With AI, defenders gain a substantial edge, acting as an ‘always-on purple team,’ supporting the blue team in proactive threat detection and response.” This isn’t just hypothetical; there are real-world benefits we’re ready to take advantage of. “With AI, we can triage alerts and vulnerabilities faster and more accurately. It also helps us answer security questionnaires, reducing the cost of responding to them. And we can reply, in a scalable way, to questions asked of our security team by having an AI tool take a first pass,” said Sean Cassidy, CISO at Asana.
Raising the bar
Not everyone is so convinced that AI gives defenders an advantage. For Jeremiah Owen of That Cloud Group, there’s a basic reliability question, "The downsides to AI, like hallucinations, bias, bad data, all it does is mean they are a little bit less likely on their attack working. But on an AI unattended defense, having a hallucination means missed events. One missed event has the potential to do serious damage.” Outside of hallucinations impacting defenders, AI tools also raise the cybersecurity poverty line for all organizations, something the industry already struggles to reach. "Attackers have the upper hand because AI makes it much easier to exhaust the attacker search space, therefore significantly increasing the level of security fundamentals needed in a system for it to remain uncompromised on the Internet," said Felix Matenaar of Asana.
Muddying the waters
Beyond the implementation of AI tools by defenders and attackers, wider questions exist around the foundation models that power them. "The real concern I have lies in the unchecked visibility foundation model companies could gain akin to nation-state intelligence over populations and economies. We’re just scratching the surface of what this AI footprint means for operational security, privacy, and identity,” said Immanuel Chavoya of RiskHorizon.ai. We’ve already seen the confusion that deepfakes can cause in organizations. For Conner Biolsi of Lewis County, this also raises a more foundational question, "I am most worried about truth and trust in our everyday experience and reality. How are we, as humans, going to adjust to this? There’s an inevitable degradation of trust where we won’t necessarily know the source of content and whether it is truth."
Please listen to the full episode on your favorite podcast app, or over on our blog where you can read the full transcript. If you’re not already subscribed to the Defense in Depth podcast, please go ahead and subscribe now.
Thanks to our podcast sponsor, ThreatLocker
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Join us Friday, January 24, 2025, for “Hacking Platformization: An hour of critical thinking of how stitching together data, tools, and processes is necessary for the success of your security program.”
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