In this episode of the Microsoft Threat Intelligence Podcast, Sherrod DeGrippo speaks with Microsoft security and AI researchers Giorgio Severi and Noam Kochavi about a newly observed trend in AI abuse: recommendation poisoning through memory manipulation.
While looking into prompt injection and reprompt-style behaviors, the team uncovered something quieter but potentially more persistent—websites embedding hidden instructions inside Summarize with AI links that attempt to influence what an AI assistant remembers and recommends over time.
Rather than focusing on immediate exploitation, this technique aims to shape long-term behavior inside AI systems. Giorgio and Noam explain how it works, why it’s spreading across industries, where legitimate marketing tactics can blur into security risk, and what defenders and users should understand about managing AI memory in an increasingly agent-driven environment.
In this episode you’ll learn:
How AI memory poisoning differs from traditional prompt injection
Why legitimate businesses are using memory manipulation tactics
What threat hunters can look for inside enterprise telemetry
Some questions we ask:
How is memory poisoning different from prompt injection?
What are the long-term risks of embedding bias into AI memory?
Could this technique be used for more harmful influence beyond marketing?
Resources:
View Giorgio Severi on LinkedIn
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Microsoft security researchers Megan Stalling and Anna Seitz to examine how financially motivated threat actors are using familiar, low-complexity techniques to drive real-world impact across the financial services sector.
They examine Storm-0727, a financially motivated threat actor targeting cryptocurrency, financial services, and government entities, highlighting how simple techniques like financial-themed lures, macro-enabled documents, and credential theft allow attackers to quietly establish and maintain access. The conversation then expands to broader financial-services threat trends, including business email compromise, ransomware with data extortion, phishing-as-a-service, and why social engineering and unpatched vulnerabilities continue to succeed even in mature security environments.
In this episode you’ll learn:
How credential theft helps attackers maintain persistence
Why social engineering works even in well-secured environments
How Storm-0727 targets financial services and cryptocurrency organizations
Some questions we ask:
What happens after a victim opens a macro-enabled document used by Storm-0727?
How are phishing as a service platforms changing the threat landscape?
What major threat trends are currently shaping the financial services sector?
Resources:
View Megan Stalling on LinkedIn
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by security researcher Crane Hassold and Digital Defense Report lead Chloe Mesdaghi for a grounded, practitioner-led discussion on where artificial intelligence actually stands today. Moving beyond hype and fear-driven narratives, the conversation examines how AI is realistically being used by threat actors, where its impact is often overstated, and why defenders currently stand to gain the most from AI-driven tooling.
The episode explores AI’s strengths in detection, triage, and workflow acceleration, the psychology and incentives that shape attacker behavior, and emerging risks such as prompt injection and AI systems becoming direct attack targets.
In this episode you’ll learn:
Where AI is genuinely being used in real-world cyber operations
Why AI systems themselves are becoming attractive targets for attackers
How AI is accelerating defensive workflows like detection engineering and threat triage
Some questions we ask:
What does AI do well right now, and where has it been overpromised?
Does AI shift the balance of power toward defenders or attackers?
Why are prompt injection and agent manipulation such serious concerns?
Resources:
View Chloé Messdaghi on LinkedIn
View Crane Hassold on LinkedIn
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.
To kick off Season 3 of Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Microsoft security researchers Anna Seitz and Jonathan Checchi.
Our guests examine two developments shaping today’s threat landscape: the cloud-native evolution of ransomware group Storm-0501 and the SesameOp backdoor’s abuse of trusted AI platforms for stealthy command-and-control. The discussion highlights how identity, hybrid-cloud pivot points, and federated authentication enable high-impact attacks without traditional malware, and why policy-compliant platform abuse is becoming harder to detect.
Sherrod, Anna, and Jonathan provide guidance for defenders around enforcing MFA, tightening conditional access and identity controls, monitoring across cloud and on-prem environments, and partnering with platform providers to disrupt emerging attacker tradecraft.
In this episode you’ll learn:
What happens when threat actors gain control of highly privileged identities
Why monitoring identity behavior is as critical as monitoring endpoints
How attacker tactics are adapting to environments that blend cloud and on-prem systems
Some questions we ask:
What does recent threat activity tell us about where the landscape is headed?
How is Storm-0501 using federated authentication in their operations?
What should security teams focus on as AI becomes more integrated into systems?
Resources:
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by security researchers Geoff McDonald and JBO to discuss Whisper Leak, new research showing that encrypted AI traffic can still unintentionally reveal what a user is asking about through patterns in packet size and timing.
They explain how LLM token streaming enables this kind of side-channel attack, why even well-encrypted conversations can be classified for sensitive topics, and what this means for privacy, national-level surveillance risks, and secure product design. The conversation also walks through how the study was conducted, what patterns emerged across different AI models, and the steps developers should take to mitigate these risks.
In this episode you’ll learn:
Why packet sizes and timing patterns reveal more information than most users realize
How user-experience choices like showing streamed text create a larger attack surface
The difference between classic timing attacks and the new risks uncovered in Whisper Leak
Resources:
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Matt Duncan, Vice President of Security Operations and Intelligence at the North American Electric Reliability Corporation’s E-ISAC, to explore the cyber threats targeting the North American power grid. Matt breaks down why the grid remains resilient despite increasing pressure from nation-states, cybercriminals, and hacktivists, how AI is lowering the barrier of entry for attackers, and why OT systems and interconnected devices present unique risks.
He also highlights real success stories, the value of large-scale grid exercises, and how strong collaboration and a focus on foundational security practices help defenders keep power flowing safely and reliably.
In this episode you’ll learn:
How severe weather events trigger heightened cyber-readiness across utilities
What motivates hacktivist groups and how their tactics differ from other threat actors
Why outdated equipment and legacy systems remain such attractive targets
Some questions we ask:
Are you seeing more educated and capable OT-focused adversaries now?
How do you work with policymakers to help them understand these threats?
If you could eliminate one misconception about securing the grid, what would it be?
Resources:
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by security researchers Tori Murphy and Anna Seitz to unpack two financially motivated cyber threats. First, they explore the Payroll Pirates campaign (Storm 2657), which targets university payroll systems through phishing and MFA theft to reroute direct deposits. Then, they examine Vanilla Tempest, a ransomware group abusing fraudulent Microsoft Teams installers and SEO poisoning to deliver the Oyster Backdoor and Recita ransomware.
Together, they discuss how attackers exploit trust in identity, code signing, and SaaS platforms and share practical steps organizations can take to strengthen defenses, from phishing-resistant MFA to stricter executable controls and out-of-band banking verification.
In this episode you’ll learn:
How Payroll Pirates diverted university salaries through SaaS HR phishing schemes
Why universities are prime targets for identity-based cyberattacks
How Vanilla Tempest evolved from basic ransomware to complex multi-stage attacks
Some questions we ask:
How are attackers stealing credentials and paychecks?
Why do attackers create inbox rules after compromising accounts?
What alerts should organizations monitor for these types of attacks?
Resources:
Investigating targeted “payroll pirate” attacks affecting US universities
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Zack Korman, CTO of cybersecurity startup Pistachio. They explore the reality of AI in security, cutting through hype to discuss where AI is both brilliant and flawed, how vendors AI-wash outdated tech, and why Zack believes AI won’t replace jobs but instead scale human creativity. They also dive into phishing simulations, human psychology behind social engineering, AI-powered attacks, jailbreak chaining between AI systems, and the future risks and opportunities AI introduces in cybersecurity.
In this episode you’ll learn:
How to evaluate whether a vendor is truly using AI in their product
The psychology behind why people fall for phishing attacks
Why human judgment will remain essential in the era of AI-driven security.
Some questions we ask:
How can AI unlock new capabilities in cybersecurity?
What questions should people ask AI security vendors?
Why do trained security professionals still fall for phishing attacks?
Resources:
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Chloé Messdaghi and Crane Hassold to unpack the key findings of the 2025 Microsoft Digital Defense Report; a comprehensive look at how the cyber threat landscape is accelerating through AI, automation, and industrialized criminal networks.
They explore how nation-state operations and cybercrime have fused into a continuous cycle of attack and adaptation, with actors sharing tooling, infrastructure, and even business models. The conversation also examines AI’s growing impact, from deepfakes and influence operations to the defensive promise of AI-powered detection, and how identity compromise has become the front door to most intrusions, accounting for over 99% of observed attacks.
Listeners will gain perspective on:
How AI is shaping both attacker tradecraft and defensive response.
Why identity remains the cornerstone of global cyber risk.
What Microsoft’s telemetry—spanning 600 million daily attacks—reveals about emerging threats and evolving defender strategies.
Questions explored:
How are threat actors using AI to scale deception and influence operations?
What does industrialized cybercrime mean for organizations trying to defend at scale?
How can defenders harness AI responsibly without overreliance or exposure?
Resources:
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Tori Murphy, Anna Seitz, and Chuong Dong to break down two threats: the modular backdoor PipeMagic and Medusa ransomware. They discuss how PipeMagic disguises itself as a ChatGPT desktop app to deliver malware, its sophisticated modular design, and what defenders can do to detect it.
The team also explores Medusa’s evolution into a ransomware-as-a-service model, its use of double extortion tactics, and the broader threat landscape shaped by ransomware groups, social engineering, and the abuse of legitimate tools.
In this episode you’ll learn:
Why modular malware is harder to detect and defend against
How attackers abuse vulnerable drivers to disable security tools
Why leak sites play a central role in ransomware operations
Some questions we ask:
How did Microsoft researchers uncover PipeMagic in the wild?
Why do ransomware groups often borrow names and themes from mythology?
What initial access techniques are commonly associated with Medusa attacks?
Resources:
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider
The Microsoft Threat Intelligence Podcast is produced by Microsoft and distributed as part of N2K media network.
In this episode of the Microsoft Threat Intelligence Podcast, host Sherrod DeGrippo is joined by Kelly Bissell, Corporate Vice President at Microsoft, to explore how domain impersonation and typosquatting are changing in the age of AI.
They discuss how attackers are increasingly using AI and bots to scale online deception, why this tactic is so effective, and how Microsoft is countering cutting-edge defenses like Siamese neural networks to detect fraudulent domains in real time. Kelly shares insights on the massive scale of these threats, the shift toward defender advantage, and the broader implications for securing organizations worldwide.
In this episode you’ll learn:
How attackers use AI and bots to scale domain impersonation and typosquatting
Why defenders may finally have the higher ground in the fight against online fraud
How Microsoft’s Siamese neural network model detects fraudulent domains in real time
Some questions we ask:
What excites you most about this new detection approach?
How do fake domains fit into a larger social engineering chain?
What indicators should defenders watch for in typosquatting domains?
Resources:
View Kelly Bissell on LinkedIn
View Sherrod DeGrippo on LinkedIn
Related Microsoft Podcasts:
Discover and follow other Microsoft podcasts at microsoft.com/podcasts
Get the latest threat intelligence insights and guidance at Microsoft Security Insider