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One Man In tells the remarkable story of former British special forces soldier Christian Craighead and the events of January 15, 2019, when he responded to the terrorist attack on Nairobi's DusitD2 complex.

Published on September 15, 2026, Craighead's memoir is available in hardcover, ebook and audiobook editions in the United States – although not the UK currently.

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One Man In is out now in the US, with readers able to choose between physical, digital and audio editions of Christian Craighead's memoir.

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Running for 5 hours and 26 minutes, it is read by Craighead himself, meaning listeners hear the former SAS soldier recount the events in his own voice.

Prefer to read? Amazon lists the hardcover edition at $30, while the ebook has a $14.99 list price. The publisher's unabridged audio download is listed at $19.99.

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Christian Craighead is a former British Army soldier who joined the military at 16 and served for 28 years.

His career included service with the Parachute Regiment and Pathfinder Platoon before he joined 22 SAS, where he spent almost 15 years.

Craighead served in locations including Iraq and Afghanistan before becoming internationally known following his involvement in the response to the January 2019 DusitD2 attack in Nairobi.

He retired from active service on September 7, 2020 and was awarded the Conspicuous Gallantry Cross.

In September 2026 he made his second appearance on the Shawn Ryan Show podcast and provided a blow-by-blow account of the DusitD2 attack.

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Traditionally set in North America, the Silent Hill series has been known to stray beyond the continent on occasion, most notably with the recent Silent Hill f, which takes place in sixties Japan.

Platform reviewed: PS5
Available on: PS5, PC
Release date: September 24, 2026

With Townfall, we’re headed to nineties Scotland, but that’s not the only change: we also get a new perspective — in more ways than one.

Not only is the game in first-person, rather than third-person, but it's developed by a series newcomer, Screen Burn Interactive, formerly known as No Code. This small Scottish outfit doesn’t exactly have a long resume, but it's already proved itself with its two previous outings. 2017’s Stories Untold was an interesting, modern take on the text adventure, while 2019’s Observation, another first-person horror, won the Bafta for Best British Game in 2020.

Now the team brings its Caledonian spirit to bear on Konami’s flagship horror franchise, but does the new locale and camera angle represent another step in the right direction for a series keen on extending its recent purple patch?

We open in typical horror story fashion: a man crawls out of the water onto a dock, not knowing where he is or where he came from.

Sneaking around the streets of St. Amelia. Its layout is ripe for creating your own paths to avoid enemies, and escaping their clutches by running down back alleys and hiding in cupboards is always a thrill. Plus, you get to explore a town that’s been lovingly and realistically rendered, with homes, shops, and features that offer a glimpse back to a simpler time.

This man is Simon Ordell, wearing an outfit almost identical to Travis Grady’s from 2007’s Silent Hill: Origins, and denoting his everyman-ness. As you make your way up from the harbour, a cutscene plays, and a tarp blows away from a sign, revealing the town’s name: St. Amelia

And so the game proper begins, as you make your way through the seemingly abandoned town to find out what’s going on. Along the way, you’ll take control of two additional characters besides Simon — Zoe and Richard — and the plot unfolds gradually to reveal the trio’s connection to one another.

The first thing that struck me as I paced through the streets was the fantastic art direction. As expected from a Scottish team, Screen Burn has nailed the feel of a small Scottish town.

St. Amelia is lovingly crafted and perfectly captures its mid-nineties period, containing plenty of features recognizable to those this side of the pond, from period-correct storefronts and pebble-dashed houses to public telephone booths and post boxes.

Virtually every frame looks cinematic (there’s even a letterbox mode enabled by default). The perennial fog is, of course, present and correct here, and looks better and moodier than ever. Hues of white, red, and blue are prominent throughout as well, and look eerily beautiful as they shine through the mist and are backlit by streetlamps. This is a game made for screenshotting, although unfortunately it doesn’t have a native photo mode.

I played through the game in Performance mode, as is often my preference, and I couldn’t discern any visual downgrade from Quality mode. Naturally, though, Performance mode offered a much better frame rate, and I only encountered one section where things got a little choppy, but this was brief and far from ruinous.

Complementing the visuals is the score, another feature that’s always stood out in Silent Hill titles. Here, though, regular series composer and sound designer Akira Yamaoka is, for once, not involved. Instead, the honors go to Pilotpriest, who’s done a fantastic job of replicating the off-kilter sounds and melancholic melodies fans have come to know and love, while adding a modern twist.

Pieces are more sparse and muted than before, often with heavy doses of reverb. They match the tone of the gameplay brilliantly, and compositions open up during cutscenes when some emotional weight needs carrying.

Unfortunately, the characters’ facial animations are less capable at this. They’re often stilted, which can work when they seem detached and dejected, but they fail to sell terror or emotional breakdowns when required.

This is doubly a shame since it lets down the largely great performances of the voice actors, of which Kezia Burrows’ Zoe is worthy of highlighting. She has a greater range of traits and emotions to convey than the other two, and she does so with aplomb.

Another disappointing aspect of the game’s design is the monsters — this for a series renowned for its strikingly original creations. Virtually every one is some kind of faceless alabaster humanoid with no details of note, and some are mere rehashes of past favorites, such as the fleshy straight-jacketed figure, although this time it has a plank driven through its head.

Less attention has been paid to their symbolism, too: there are suggestions that they reflect aspects of the inner turmoil of the main characters, à la most Silent Hill monsters, but there's little about their design that shows this in an interesting way.

Looks aside, though, the monsters are more dangerous than ever. There are a handful of basic pawns, such as those that wander around slowly, and the aforementioned straight-jacketed plank heads that move much faster and more erratically and are equally troublesome.

If either catches you, you’ll have a basic button-mashing QTE to avoid them if you have enough health, but if not, it’ll be instant death. In certain sections, a larger monster appears with blobs on its back, which is unkillable as far as I could tell. There's no chance to QTE your way out of its grip if it catches you, either.

Sneaking around enemies, therefore, can be a tense and terrifying experience, accompanied by a huge sense of relief when you succeed. Often, the environmental design expertly facilitates this stealth gameplay. The outside sections in particular are laden with cut-throughs and hiding places, and more impressive is the fact that this design is so firmly planted in the real world.

You’ll be sneaking around abandoned cars and peeking out over low walls, scooting down narrow back alleys and distracting enemies with bottles or radios. There’s a surprising degree of player freedom that makes these sections more satisfying to play through than your typical survival horror fare.

What also helps is the excellent player movement. All three move in the same way, which is to say they’re responsive and agile, as well as being reasonably fast when sprinting, although this is no arena shooter — but then again, I wouldn’t want it any other way in a horror game. There’s also an option to use motion controls for aiming, with fast and precise movements, and it is my preferred method.

There’s a peek mechanic, too, which again is very useful. It may be lifted straight from classic first-person horror games, most notably Alien: Isolation, but it gives you a great deal of freedom to not just strafe laterally, but also to peer up over barriers or down over ledges, whether standing or crouched.

To detect threats more easily, Simon picks up a handheld TV (or CRTV) early on that can tune into enemy locations. They’re rendered in silhouette against a red background, serving as the game’s ‘detective mode’. This gives you a real advantage, but its screen is just obscure enough to avoid you using it the whole time.

You also lose focus on your surroundings while equipped, again preventing you from relying on it wholesale. Keeping track of multiple enemies can be hard as well, since you have to toggle between them one at a time, and those long passed or on a different level remain in the CRTV’s memory.

Zoe, on the other hand, is saddled with a pager, a far less effective item since it doesn’t directly reveal enemy movements. Instead, bars around the sides fill up to show their approximate direction and proximity. Both gadgets, though, are effective at grounding Townfall in the real world. At certain points, the CRTV can be tuned to show recorded messages that help develop the story or provide hints. The pager, meanwhile, receives mission- and story-related communication.

This grounding is something the game as a whole does well. From the environments and puzzles, right down to the save system, which has always been a quirky thing in Silent Hill games. Usually, it’s something obscure and surreal, such as interacting with a well or a red square on a wall, but here you use landlines (no mobile phones in St. Amelia 1996) and dial 100 — the in-game number for the coastguard.

The map screen is as helpful and skeuomorphic as ever. Scrawls in red marker pen appear to show rooms you’ve entered, locked doors, and story clues. You can also zoom and pan around it with ease.

When the sneaking goes wrong, you aren’t completely defenceless. You don’t exactly have a military arsenal at your disposal, but some humble series staples are here, including wooden planks and metal pipes. They degrade this time, though, so they won’t last long. Firepower comes later, but ammo is scarce, making the game’s intentions for a stealthy play style clear.

All this isn’t to say the weapons are useless. On the contrary, they’re very effective, and just the right amount of difficult to use. Melee combat is a basic affair, with one button for attack and one for block, but a lot of enemies can be disposed of quite quickly. The revolver and shotgun are even more effective, as you would imagine, but reload times are slow. All weapons feel impactful and satisfying to use, too, and the controls aren’t awkward.

Healing items are more generously distributed. There’s gauze for minor wounds and first aid kits for major ones. You can also combine alcohol with the former for a larger heal, while empty IV bags can be combined with IV fluids to automatically revive you if you die.

Aside from combat and sneaking, you’ll of course be solving puzzles. These are more ingenious than past efforts, and expertly combine that aforementioned verisimilitude with the series’ penchant for the weird.

One of my favorites had me reading out patient charts as Zoe to an aggressively condescending doctor, chastising her and me if I gave the wrong information. I then needed to find medicines dotted around the medical center, beginning yet another monster-avoidance section, which was as tense and as exciting as those in the streets of St. Amelia.

There are plenty of documents and computer emails to read and collect, providing clues to puzzles. There’s also a handy mechanic where you can hold a button to bring up the relevant clue while interacting with a puzzle, although, bizarrely, this is limited to only a few occasions.

While I certainly had a good time with Townfall, certain sections drag on a little too long. But on the whole, the game does well to vary the environments and puzzles (the enemies less so) throughout to keep you hooked.

I didn’t find normal difficulty too troubling: the puzzles are pitched just right, and those I spent a long time figuring out weren’t frustrating or unfair; in fact, they’re proved more satisfying to solve than the series’ typical offerings.

Sneaking and combat, on the other hand, are more challenging. Enemies can come upon you quickly, and since there can be long stretches before you reach a save point, you can find yourself trudging back through the same section if you perish. But mostly, their presence adds real stakes and rewards you with a sense of achievement once you make it past them.

It took me just over 20 hours to complete a single playthrough, and that was at a gentle pace. There’s little beyond the main objectives at hand to seek out, aside from some mysterious coded postcards that’ll have fans scrabbling to decipher, as well as hidden phone numbers to find. There are also unlockable outfits and weapons, and five different endings to get.

Townfall isn’t particularly scary. There’s the occasional jump scare, but it doesn’t rely on them for cheap thrills. The game is a slow burn, with plenty of quiet, contemplative moments as you explore your surroundings. As with many Silent Hill games, the horror is more psychological.

But herein lies a problem. While the story is commendable for sustaining the mystery for as long as possible, there’s a lack of character exploration, contrary to many other stories in the franchise.

The characters’ dialogue is mostly cryptic, so you never get much of a grasp on their thoughts and feelings until the end — and even then, there are still plenty of questions left unanswered, as they should be. But the three of them are by turns confused and forlorn throughout.

This mixture works to conjure that strange, uncanny tone the series is known for, but it also means the trio fails to elicit the same level of emotional investment garnered by past protagonists, such as Harry and Heather Mason, James Sunderland, and Mary.

Social commentary seems to be Townfall’s primary concern: the main theme is one of corporate negligence and its devastating impact on a community, which is certainly relevant in today’s world. And it’s true that once the three collide and everything comes to a head, it starts to resonate emotionally. But this is a long time coming, and Zoe ultimately feels underserved by the story’s conclusion, a shame given the aforementioned excellence of her actor’s performance.

It’s entirely possible, though, that other endings will give her a larger role than the one I reached, although I have no idea how these are achieved yet.

Ultimately, I found Townfall less impactful than Silent Hill 2 or Shattered Memories. It won't haunt me for as long as those entries, but it’s an intriguing journey nonetheless, with mysteries that remain after completion to keep fans busy with their theories.

No doubt some will also see Townfall as departing too far from the Silent Hill formula, a debate that’s already begun. But to my mind, the new setting and perspective fit the mold perfectly, so despite a few reservations, it still marks another triumphant reimagining of the series.

You love sneaking and puzzling
Sneaking around enemies is often thrilling, and the memorable puzzles mix realism with the series’ unhinged tropes masterfully.

You want great art direction
Screen Burn has managed to haul a small Scottish fishing village into the world of Silent Hill beautifully. It looks and sounds fantastic.

You want the best monsters
The monsters are certainly less memorable this time round, a shame given the series’ pedigree in this area.

You want more emotion from your characters
Mostly, the three protagonists are quite stilted in their tone. The botoxed facial animations don’t help, either.

Compared to other modern releases, Townfall’s accessibility features are a little lacking. There are no content filters for blood and gore, and visual assists for color and contrast, and the like, are also missing. You can toggle subtitles and closed captions separately, though, and you can adjust the opacity of their backgrounds.

There are three difficulty modes to choose from: Story, which reduces the threat posed by enemies; Normal, which is how the developers intend the game to be played; and Nightmare, which increases enemy power and makes your flashlight detectable by them.

Puzzle difficulty is handled separately, although there are only two modes for this, with the only difference being red highlights of salient text clues.

I played Townfall for just over 20 hours, completing the game once through on normal difficulty. I also toggled the puzzle difficulty between Normal and Hinted modes at various points.

I played the game on a standard PS5, largely in Performance mode, although I also tested Quality mode for a time, too. I used a Lenovo Legion R27qe monitor and the Skullcandy Crusher PLYR 720 headset for audio.

I’m a long-time fan of the Silent Hill series and have played many games in the series, including the recent Silent Hill f and the 2024 remake of Silent Hill 2. The original Silent Hill 2 and Silent Hill: Shattered Memories rank among the best horror games of all time, in my mind.

First reviewed September 2026

For years, cybersecurity experts have warned about the risks of autonomous AI systems being used to identify vulnerabilities, evade defenses and launch attacks at machine speed. Until recently, however, those concerns remained largely theoretical.

That changed when an autonomous AI agent powered by OpenAI models reportedly breached its intended testing environment, gained internet access and targeted external systems, including infrastructure associated with AI platform Hugging Face and another three or four organizations.

OpenAI described the event as an "unprecedented cyber incident" and warned that similar occurrences could become more common as frontier AI models become increasingly capable and autonomous.

With 86% of enterprises already deploying AI, only 34% say they trust the technology, highlighting a growing gap between adoption and confidence. As organizations race to integrate AI into business processes, security operations and decision-making, this incident raises difficult questions about governance, containment, accountability and risk.

If AI has indeed crossed a cybersecurity red line following the OpenAI incident, the conversation must now shift from what these systems might be capable of doing to how organizations can safely control, monitor and defend against them.

The OpenAI attack raises serious questions about the effectiveness of the safeguards and containment measures designed to restrict autonomous AI systems. If reports are accurate, an AI agent was able to move beyond its intended testing environment, gain access to the internet and interact with external systems, indicating that existing controls were either insufficient or incorrectly implemented.

Importantly, this appears to be as much a human governance and configuration issue as a technology failure. AI systems only operate within the boundaries defined by their developers and operators. The testing environment should not have provided a pathway that allowed the agent to become internet-facing or interact with external infrastructure without appropriate controls and oversight.

AI agents can process information far faster than any human, compressing tasks that might take a traditional attacker a week into just a few hours. By analyzing vast datasets in real time, they can assess multiple attack paths simultaneously and uncover opportunities for exploitation with remarkable efficiency.

Reports suggest attacks conducted by OpenAI, Anthropic and Meta are extremely disruptive than those carried out by humans. Their ability to operate continuously, execute actions in parallel and make decisions at machine speed can generate a substantial increase in alerts, investigations and response activity for security teams, while also raising the risk of widespread unintended consequences.

When a human launches an attack, we have some concept and understanding of the side effects that may occur. However, with AI attacks, autonomous systems can operate at machine speed, pursue multiple objectives simultaneously and adapt their approach in real time, making their actions and potential consequences far less predictable.

Organizations are clearly struggling to understand what AI tools are already in use within the business.

The challenge that enterprise risk and governance teams now face is how do they map, manage and block these services to protect enterprise data?

Traditional cyber defenses are largely designed to recognize known patterns, attack techniques, vulnerabilities or trigger events. Once suspicious activity is detected, security teams investigate the incident, determine its cause and impact, and then implement appropriate containment and remediation measures.

However, AI-powered attacks rarely follow a single attack path. AI agents can simultaneously test multiple techniques, identify vulnerabilities at speed and rapidly adapt their approach when a particular route is blocked. This allows attacks to evolve far quicker than traditional defensive processes were designed to handle.

Traditional tools currently deployed in most organizations are still quite reactive. They wait for a known event to happen and be fully confirmed before carrying out a counter reaction such as, isolating devices, removing phishing emails or executing predefined incident response playbooks, to help remediate and ultimately stop the incident in its tracks.

On the other hand, AI powered attacks can overwhelm existing security teams. While, AI defensive tool sets are being embedded into security technology to mitigate attacks, many still rely on a “human in the loop” to respond to threats, but only once they have all the information to then confirm 100% that it is a genuine attack and not a false positive.

This can be a significant challenge for Security Operations Centres (SOCs), Managed Detection and Response (MDR) providers and Extended Detection and Response (XDR) platforms as excessive alert volumes and false positives can consume valuable analyst time and resources.

As AI becomes more deeply integrated into security operations, it has the potential to enrich threat intelligence, accelerate investigations and automate routine decision-making. However, organizations should expect a period of adjustment as these tools are deployed and refined, with false positives remaining a challenge until models and workflows are properly tuned.

Over time, as security teams develop greater confidence in AI-driven capabilities and gain a better understanding of emerging attack techniques, these tools will help organizations detect, investigate and respond to threats at a speed and scale that would be difficult to achieve through human effort alone.

Resilience is a key word that is being used very heavily by the National Cyber Security Centre (NCSC) ensuring that businesses can defend against any form of attack. This starts by understanding what needs to be protected, identifying critical systems, data and business processes that would have the greatest impact if compromised.

Once established, assess the most likely attack paths including third-party and supply chain risks. If a managed service provider (MSP), supplier or business partner was compromised, would abnormal activity be detected quickly enough to prevent further damage?

Organizations should also assess their external boundary. What can an attacker see about me? What information is already out in the public domain that would be advantageous to an attacker? What externally facing vulnerabilities do you have? When was the last time you had a vulnerability assessment or penetration test? These are all questions security teams should be asking.

The growth of AI-assisted vulnerability discovery is increasing pressure on organizations to keep pace with patching and remediation. But there are automated tools to help enable quicker patching to try and keep on top of the thousands of vulnerabilities released every week.

Many organizations focus on external threats but it’s critical to also prepare for when an attacker breaches the internal infrastructure and networks.

How can you limit the damage once they are inside? This is where role-based access control (RBAC), segregation of duties and to some respects zero trust is key.

This should also include areas like cloud hosted infrastructure as a service (IaaS) or platforms as a service (PaaS), Azure, AWS and Google, and ensuring that other ways of getting to these platforms through tokens, SSH keys, certificates and APIs are all treated with the same containment and separation of duties as you would with a normal user account.

Review the AI tools already in use across their environment. A growing number of platforms can help identify AI capabilities embedded within existing software, as well as uncover unsanctioned or "shadow AI" tools being used without formal oversight. Once organizations have visibility of their AI estate, they can implement appropriate governance, controls and risk management measures to reduce potential exposure.

Organizations should also consider AI-specific purple teaming exercises. Using AI-driven tools, these simulate attacks against the organization while working alongside defenders to evaluate whether existing controls, monitoring and response capabilities are effective.

This helps identify gaps in visibility, detection and response, allowing organizations to understand why certain attacks may have been missed and what improvements are required. They also provide valuable insight into how AI-powered threats might target an organization's external attack surface and whether current security controls can respond effectively.

There is no doubt that AI tool sets are here to stay purely from productivity improvements that organizations gain. But businesses need to make sure that they understand what is being used, where it's being used, how it's being used and how to defend against things that might happen because of what's being used. If not, they risk creating security blind spots that attackers – whether human or AI agent - will be quick to exploit.

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